Program
Schedule
Sunday, July 28th, 2019
Tutorials & Welcome Cocktail
Monday, July 29th, 2019
Main conference
Tuesday, July 30th, 2019
Main conference & social event
Wednesday, July 31st, 2019
Main Conference
Thursday, August 1st, 2019
Workshops & Co-located conferences
Friday, August 2nd, 2019
Workshops & Co-located conferences
Papers
Jump to:
- Long Papers (Main Conference)
- Short Papers (Main Conference)
- System Demonstration Papers
- Student Research Workshop Papers
Long Papers (Main Conference)
SphereRE: Distinguishing Lexical Relations with Hyperspherical Relation Embeddings
Chengyu Wang, XIAOFENG HE and Aoying Zhou
Learning from Dialogue after Deployment: Feed Yourself, Chatbot!
Braden Hancock, Antoine Bordes, Pierre-Emmanuel Mazare and Jason Weston
MOROCO: The Moldavian and Romanian Dialectal Corpus
Andrei Butnaru and Radu Tudor Ionescu
Improved Language Modeling by Decoding the Past
Siddhartha Brahma
Generating Responses with a Specific Emotion in Dialog
Zhenqiao Song, Xiaoqing Zheng, Lu Liu, Mu Xu and Xuanjing Huang
Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention
Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan and William Yang Wang
Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings
Matthew Le, Stephen Roller, Laetitia Papaxanthos, Douwe Kiela and Maximilian Nickel
Open Vocabulary Learning for Neural Chinese Pinyin IME
Zhuosheng Zhang, Yafang Huang and Hai Zhao
Head-Driven Phrase Structure Grammar Parsing on Penn Treebank
Junru Zhou and Hai Zhao
Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video
Zhenfang Chen, Lin Ma, Wenhan Luo and Kwan-Yee Kenneth Wong
Reinforced Training Data Selection for Domain Adaptation
Miaofeng Liu, Yan Song, Hongbin Zou and Tong Zhang
Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding
Junyi Li, Wayne Xin Zhao, Ji-Rong Wen and Yang Song
Neural News Recommendation with Long- and Short-term User Representations
Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu and Xing Xie
Inferential Machine Comprehension: Answering Questions by Recursively Deducing the Evidence Chain from Text
Jianxing YU, Zhengjun ZHA and Jian YIN
Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model
Wei Li, Jingjing Xu, Yancheng He, ShengLi Yan, Yunfang Wu and Xu SUN
Adversarial Attention Modeling for Multi-dimensional Emotion Regression
Suyang Zhu, Shoushan Li and Guodong Zhou
Divide, Conquer and Combine: Hierarchical Feature Fusion Network with Local and Global Perspectives for Multimodal Affective Computing
Sijie Mai, Haifeng Hu and Songlong Xing
OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs
Seungwhan Moon, Pararth Shah, Anuj Kumar and Rajen Subba
Joint Slot Filling and Intent Detection via Capsule Neural Networks
Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan and Philip Yu
Semi-supervised Domain Adaptation for Dependency Parsing
Zhenghua Li, Xue Peng, Min Zhang, Rui Wang and Luo Si
This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation
Rui Zhang and Joel Tetreault
Dense Procedure Captioning in Narrated Instructional Videos
Botian Shi, Lei Ji, Yaobo Liang, Nan Duan, Peng Chen, Zhendong Niu and Ming Zhou
Incremental Learning from Scratch for Task-Oriented Dialogue Systems
Weikang Wang, Jiajun Zhang, Qian Li, Mei-Yuh Hwang, Chengqing Zong and Zhifei Li
Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model
Yitao Cai, Huiyu Cai and Xiaojun Wan
Task Refinement Learning for Improved Accuracy and Stability of Unsupervised Domain Adaptation
Yftah Ziser and Roi Reichart
Deep Dominance - How to Properly Compare Deep Neural Models
Rotem Dror, Segev Shlomov and Roi Reichart
Zero-Shot Semantic Parsing for Instructions
Ofer Givoli and Roi Reichart
Automatic Domain Adaptation Outperforms Manual Domain Adaptation for Predicting Financial Outcomes
Marina Sedinkina, Nikolas Breitkopf and Hinrich Schütze
Latent Variable Model for Multi-modal Translation
Iacer Calixto, Miguel Rios and Wilker Aziz
Token-level Dynamic Self-Attention Network for Multi-Passage Reading Comprehension
Yimeng Zhuang and Huadong Wang
PaperRobot: Incremental Draft Generation of Scientific Ideas
Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji, Mohit Bansal and Yi Luan
Reliability-aware Dynamic Feature Composition for Name Tagging
Ying Lin, Liyuan Liu, Heng Ji, Dong Yu and Jiawei Han
Topic Tensor Network for Implicit Discourse Relation Recognition in Chinese
Sheng Xu, Peifeng Li, Fang Kong, Qiaoming Zhu and Guodong Zhou
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets
Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu and Tiejun Zhao
ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation
Hainan Zhang, Yanyan Lan, Liang Pang, Jiafeng Guo and Xueqi Cheng
AutoML strategy based on grammatical evolution: A case study about knowledge discovery from text
Suilan Estevez-Velarde, Yoan Gutiérrez, Andrés Montoyo and Yudivián Almeida-Cruz
Manipulating the Difficulty of C-Tests
Ji-Ung Lee, Erik Schwan and Christian M. Meyer
Towards Unsupervised Text Classification Leveraging Experts and Word Embeddings
Zied Haj-Yahia, Adrien Sieg and Léa A. Deleris
A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching
Jihun Choi, Taeuk Kim and Sang-goo Lee
Heuristic Authorship Obfuscation
Janek Bevendorff, Martin Potthast, Matthias Hagen and Benno Stein
Learning Deep Transformer Models for Machine Translation
Qiang Wang, Bei Li, Tong Xiao, Jingbo Zhu, Changliang Li, Derek F. Wong and Lidia S. Chao
Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model
Alexander Fabbri, Irene Li, Tianwei She, Suyi Li and Dragomir Radev
Rhetorically Controlled Encoder-Decoder for Modern Chinese Poetry Generation
Zhiqiang Liu, Zuohui Fu, Jie Cao, Gerard de Melo, Yik-Cheung Tam, Cheng Niu and Jie Zhou
Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation
Masashi Yoshikawa, Hiroshi Noji, Koji Mineshima and Daisuke Bekki
Multi-Source Cross-Lingual Model Transfer: Learning What to Share
Xilun Chen, Ahmed Hassan Awadallah, Hany Hassan, Wei Wang and Claire Cardie
Identifying Visible Actions in Lifestyle Vlogs
Oana Ignat, Laura Burdick, Jia Deng and Rada Mihalcea
Augmenting Neural Networks with First-order Logic
Tao Li and Vivek Srikumar
Bayes Test of Precision, Recall, and F1 Measure for Comparison of Two Natural Language Processing Models
Ruibo WANG and Jihong Li
Explicit Utilization of General Knowledge in Machine Reading Comprehension
Chao Wang and Hui Jiang
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction
Huaishao Luo, Tianrui Li, Bing Liu and Junbo Zhang
Self-Attentional Models for Lattice Inputs
Matthias Sperber, Graham Neubig, Ngoc-Quan Pham and Alex Waibel
Multi-style Generative Reading Comprehension
Kyosuke Nishida, Itsumi Saito, Kosuke Nishida, Kazutoshi Shinoda, Atsushi Otsuka, Hisako Asano and Junji Tomita
Joint Effects of Context and User History for Predicting Online Conversation Re-entries
Xingshan Zeng, Jing Li, Lu Wang and Kam-Fai Wong
A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity
Yoshinari Fujinuma, Jordan Boyd-Graber and Michael J. Paul
Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension
Daesik Kim, Seonhoon Kim and Nojun Kwak
Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification
Zhi-Xiu Ye and Zhen-Hua Ling
Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension
Minghao Hu, Yuxing Peng, Zhen Huang and Dongsheng Li
Neural Aspect and Opinion Term Extraction with Mined Rules as Weak Supervision
Hongliang Dai and Yangqiu Song
Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing
Daya Guo, Duyu Tang, Nan Duan, Ming Zhou and Jian Yin
Improving Abstractive Document Summarization with Salient Information Modeling
Yongjian You, Weijia Jia, Tianyi Liu and Wenmian Yang
Unsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its Ranking
Masaru Isonuma, Junichiro Mori and Ichiro Sakata
Just "OneSeC" for Producing Multilingual Sense-Annotated Data
Bianca Scarlini, Tommaso Pasini and Roberto Navigli
How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions
Goran Glavaš, Robert Litschko, Sebastian Ruder and Ivan Vulić
Learning from omission
Bill McDowell and Noah Goodman
Topic Modeling with Wasserstein Autoencoders
Feng Nan, Ran Ding, Ramesh Nallapati and Bing Xiang
Towards Language Agnostic Universal Representations
Armen Aghajanyan, Xia Song and Saurabh Tiwary
Meaning to Form: Measuring Systematicity as Information
Tiago Pimentel, Arya D. McCarthy, Damian Blasi, Brian Roark and Ryan Cotterell
Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology
Ran Zmigrod, Sebastian J. Mielke, Hanna Wallach and Ryan Cotterell
Neural Text Simplification of Clinical Letters with a Domain Specific Phrase Table
Matthew Shardlow and Raheel Nawaz
TIGS: An Inference Algorithm for Text Infilling with Gradient Search
Dayiheng Liu, Jie Fu, Pengfei Liu and Jiancheng Lv
Stochastic Tokenization with a Language Model for Neural Text Classification
Tatsuya Hiraoka, Hiroyuki Shindo and Yuji Matsumoto
Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency
Shuhuai Ren, Yihe Deng, Kun He and Wanxiang Che
Modeling financial analysts’ decision making via the pragmatics and semantics of earnings calls
Katherine Keith and Amanda Stent
Dialogue Natural Language Inference
Sean Welleck, Jason Weston, Arthur Szlam and Kyunghyun Cho
Budgeted Policy Learning for Task-Oriented Dialogue Systems
Zhirui Zhang, Xiujun Li, Jianfeng Gao and Enhong Chen
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis
Ruidan He, Wee Sun Lee, Hwee Tou Ng and Daniel Dahlmeier
Extracting Symptoms and their Status from Clinical Conversations
Nan Du, Kai Chen, Anjuli Kannan, Linh Tran, Yuhui Chen and Izhak Shafran
Comparison of Diverse Decoding Methods from Conditional Language Models
Daphne Ippolito, Reno Kriz, Joao Sedoc, Maria Kustikova and Chris Callison-Burch
Diachronic Sense Modeling with Deep Contextualized Word Embeddings: An Ecological View
Renfen Hu, Shen Li and Shichen Liang
Retrieval-Enhanced Adversarial Training for Neural Response Generation
Qingfu Zhu, Lei Cui, Wei-Nan Zhang, Furu Wei and Ting Liu
Argument Invention from First Principles
Yonatan Bilu, Ariel Gera, Daniel Hershcovich, Benjamin Sznajder, Dan Lahav, Guy Moshkowich, Anael Malet, Assaf Gavron and Noam Slonim
ERNIE: Enhanced Language Representation with Informative Entities
Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun and Qun Liu
Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution
Shany Barhom, Vered Shwartz, Alon Eirew, Michael Bugert, Nils Reimers and Ido Dagan
Cognitive Graph for Multi-Hop Reading Comprehension at Scale
Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang and Jie Tang
Knowledge-aware Pronoun Coreference Resolution
Hongming Zhang, Yan Song, Yangqiu Song and Dong Yu
Unsupervised Question Answering by Cloze Translation
Patrick Lewis, Ludovic Denoyer and Sebastian Riedel
SP-10K: A Large-scale Evaluation Set for Selectional Preference Acquisition
Hongming Zhang, Hantian Ding and Yangqiu Song
Vocabulary Pyramid Network: Multi-Pass Encoding and Decoding with Multi-Level Vocabularies for Response Generation
Cao Liu, Shizhu He, Kang Liu and Jun Zhao
Complex Question Decomposition for Semantic Parsing
Haoyu Zhang, Jingjing Cai, Jianjun Xu and Ji Wang
A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains
Dominik Schlechtweg, Anna Hätty, Marco Del Tredici and Sabine Schulte im Walde
Miss Tools and Mr Fruit: Emergent communication in agents learning about object affordances
Diane Bouchacourt and Marco Baroni
Detecting Subevents using Discourse and Narrative Features
Mohammed Aldawsari and Mark Finlayson
Sentence Centrality Revisited for Unsupervised Summarization
Hao Zheng and Mirella Lapata
Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems
Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher and Pascale Fung
Errudite: Scalable, Reproducible, and Testable Error Analysis
Tongshuang Wu, Marco Tulio Ribeiro, Jeffrey Heer and Daniel Weld
Multi-Hop Paragraph Retrieval for Open-Domain Question Answering
Yair Feldman and Ran El-Yaniv
Towards Understanding Linear Word Analogies
Kawin Ethayarajh, David Duvenaud and Graeme Hirst
Multilingual and Cross-Lingual Graded Lexical Entailment
Ivan Vulić, Simone Paolo Ponzetto and Goran Glavaš
When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion
Elena Voita, Rico Sennrich and Ivan Titov
The Language of Legal and Illegal Activity on the Darknet
Leshem Choshen, Dan Eldad, Daniel Hershcovich, Elior Sulem and Omri Abend
What Kind of Language Is Hard to Language-Model?
Sebastian J. Mielke, Ryan Cotterell, Kyle Gorman, Brian Roark and Jason Eisner
E3: Entailment-driven Extracting and Editing for Conversational Machine Reading
Victor Zhong and Luke Zettlemoyer
Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains
Claudia Schulz, Christian M. Meyer, Jan Kiesewetter, Michael Sailer, Elisabeth Bauer, Martin R. Fischer, Frank Fischer and Iryna Gurevych
What Makes a Good Counselor? Learning to Distinguish between High-quality and Low-quality Counseling Conversations
Verónica Pérez-Rosas, Xinyi Wu, Kenneth Resnicow and Rada Mihalcea
A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction
Mengjie Zhao and Hinrich Schütze
LSTMEmbed: Learning Word and Sense Representations from a Large Semantically Annotated Corpus with Long Short-Term Memories
Ignacio Iacobacci and Roberto Navigli
Word-order biases in deep-agent emergent communication
Rahma Chaabouni, Evgeny Kharitonov, Alessandro Lazaric, Emmanuel Dupoux and Marco Baroni
Generating Question-Answer Hierarchies
Kalpesh Krishna and Mohit Iyyer
A Compact and Language-Sensitive Multilingual Translation Method
Yining Wang, Long Zhou, Jiajun Zhang, Feifei Zhai, Jingfang Xu and Chengqing Zong
Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction
Kosuke Nishida, Kyosuke Nishida, Masaaki Nagata, Atsushi Otsuka, Itsumi Saito, Hisako Asano and Junji Tomita
Discourse Representation Parsing for Sentences and Documents
Jiangming Liu, Shay B. Cohen and Mirella Lapata
Enhance Topic-to-Essay Generation with External Commonsense Knowledge
Pengcheng Yang, Lei Li, Fuli Luo, Tianyu Liu and Xu SUN
Entity-Relation Extraction as Multi-Turn Question Answering
Xiaoya Li, Fan Yin, Zijun Sun, Xiayu Li, Arianna Yuan, Duo Chai, Mingxin Zhou and Jiwei Li
Robust Neural Machine Translation with Doubly Adversarial Inputs
Yong Cheng, Lu Jiang and Wolfgang Macherey
Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference
Yonatan Belinkov, Adam Poliak, Stuart Shieber, Benjamin Van Durme and Alexander Rush
Improving Neural Language Models by Segmenting, Attending, and Predicting the Future
Hongyin Luo, Lan Jiang, Yonatan Belinkov and James Glass
A Corpus for Reasoning About Natural Language Grounded in Photographs
Alane Suhr, Stephanie Zhou, Ally Zhang, Iris Zhang, Huajun Bai and Yoav Artzi
Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning
Minlong Peng, Xiaoyu Xing, Qi Zhang, Jinlan Fu and Xuanjing Huang
Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition
Joey Tianyi Zhou, Hao Zhang, Di Jin, Hongyuan Zhu, Meng Fang, Rick Siow Mong Goh and Kenneth Kwok
Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data
Wei Ye, Bo Li, Rui Xie, Zhonghao Sheng, Long Chen and Shikun Zhang
Topic-Aware Neural Keyphrase Generation for Social Media Language
Yue Wang, Jing Li, Hou Pong Chan, Irwin King, Michael R. Lyu and Shuming Shi
Multi-hop reading comprehension across multiple documents by reasoning over heterogeneous graphs
Ming Tu, Guangtao Wang, Jing Huang, Yun Tang, Xiaodong He and Bowen Zhou
Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning
Yaojie Lu, Hongyu Lin, Xianpei Han and Le Sun
Neural Relation Extraction for Knowledge Base Enrichment
Bayu Distiawan Trisedya, Gerhard Weikum, Jianzhong Qi and Rui Zhang
Visually Grounded Neural Syntax Acquisition
Haoyue Shi, Jiayuan Mao, Kevin Gimpel and Karen Livescu
Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data
Moonsu Han, Minki Kang, Hyunwoo Jung and Sung Ju Hwang
On the Robustness of Self-Attentive Models
Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, wei wei, Wen-Lian Hsu and Cho-Jui Hsieh
Multimodal Transformer for Unaligned Multimodal Language Sequences
Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, J. Zico Kolter, Louis-Philippe Morency and Ruslan Salakhutdinov
Joint Type Inference on Entities and Relations via Graph Convolutional Networks
Changzhi Sun, Yeyun Gong, Yuanbin Wu, Ming Gong, Daxin Jiang, Man Lan, Shiliang Sun and Nan Duan
Decompositional Argument Mining: A General Purpose Approach for Argument Graph Construction
Debela Gemechu and Chris Reed
DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction
Shun Zheng, Xu Han, Yankai Lin, Peilin Yu, Lu Chen, Ling Huang, Zhiyuan Liu and Wei Xu
Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension
An Yang, Quan Wang, Jing Liu, KAI LIU, Yajuan Lyu, Hua Wu, Qiaoqiao She and Sujian Li
Learning Transferable Feature Representations Using Neural Networks
Himanshu Sharad Bhatt, Shourya Roy, Arun Rajkumar and Sriranjani Ramakrishnan
Understanding Undesirable Word Embedding Associations
Kawin Ethayarajh, David Duvenaud and Graeme Hirst
Exploring Sequence-to-Sequence Learning in Aspect Term Extraction
Dehong Ma, Sujian Li, Fangzhao Wu, Xing Xie and Houfeng WANG
Towards Fine-grained Text Sentiment Transfer
Fuli Luo, Peng Li, Pengcheng Yang, Jie Zhou, Yutong Tan, Baobao Chang, Zhifang Sui and Xu SUN
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations
Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Gautam Naik, Erik Cambria and Rada Mihalcea
Inducing Document Structure for Aspect-based Summarization
Lea Frermann and Alexandre Klementiev
GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification
Jie Zhou, Xu Han, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li and Maosong Sun
Shared-Private Bilingual Word Embeddings for Neural Machine Translation
Xuebo Liu, Derek F. Wong, Yang Liu, Lidia S. Chao, Tong Xiao and Jingbo Zhu
Relation Embedding with Dihedral Group in Knowledge Graph
Canran Xu and Ruijiang Li
Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network
Jingjing Wang, Changlong Sun, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang and Guodong Zhou
On-device Structured and Context Partitioned Projection Networks
Sujith Ravi and Zornitsa Kozareva
Multi-grained Named Entity Recognition
Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma and Philip Yu
What You Say and How You Say It Matters: Predicting Stock Volatility Using Verbal and Vocal Cues
Yu Qin and Yi Yang
Unsupervised Parallel Sentence Extraction with Parallel Segment Detection Helps Machine Translation
Viktor Hangya and Alexander Fraser
Empirical Linguistic Study of Sentence Embeddings
Katarzyna Krasnowska-Kieraś and Alina Wróblewska
Multilingual Factor Analysis
Francisco Vargas, Kamen Brestnichki, Alex Papadopoulos Korfiatis and Nils Hammerla
Is Word Segmentation Necessary for Deep Learning of Chinese Representations?
Xiaoya Li, Yuxian Meng, Xiaofei Sun, Qinghong Han, Arianna Yuan and Jiwei Li
Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling
Yifan Gao, Piji Li, Irwin King and Michael R. Lyu
A Joint Named-Entity Recognizer for Heterogeneous Tag-sets Using a Tag Hierarchy
Genady Beryozkin, Yoel Drori, Oren Gilon, Tzvika Hartman and Idan Szpektor
Data-to-text Generation with Entity Modeling
Ratish Puduppully, Li Dong and Mirella Lapata
DocRED: A Large-Scale Document-Level Relation Extraction Dataset
Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou and Maosong Sun
Text Categorization by Learning Predominant Sense of Words as Auxiliary Task
Kazuya Shimura, Jiyi Li and Fumiyo Fukumoto
Attention Guided Graph Convolutional Networks for Relation Extraction
Zhijiang Guo, Yan Zhang and Wei Lu
Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation
Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita and Tiejun Zhao
XQA: A Cross-lingual Open-domain Question Answering Dataset
Jiahua Liu, Yankai Lin, Zhiyuan Liu and Maosong Sun
MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension
Alon Talmor and Jonathan Berant
Proactive Human-Machine Conversation with Explicit Conversation Goal
Wenquan Wu, Zhen Guo, Xiangyang Zhou, Hua Wu, Xiyuan Zhang, Rongzhong Lian and Haifeng Wang
Neural Machine Translation with Reordering Embeddings
Kehai Chen, Rui Wang, Masao Utiyama and Eiichiro Sumita
Cross-Lingual Training for Automatic Question Generation
vishwajeet kumar, Nitish Joshi, Arijit Mukherjee, Ganesh Ramakrishnan and Preethi Jyothi
Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification
Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li and Yiwei Lv
BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization
Kai Wang, Xiaojun Quan and Rui Wang
Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First Strategies
Shuhei Kurita and Anders Søgaard
GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling
Yijin Liu, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen and Jie Zhou
Learning a Matching Model with Co-teaching for Multi-turn Response Selection in Retrieval-based Dialogue Systems
Jiazhan Feng, Chongyang Tao, wei wu, Yansong Feng, Dongyan Zhao and Rui Yan
Hierarchical Transformers for Multi-Document Summarization
Yang Liu and Mirella Lapata
A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer
Chen Wu, Xuancheng Ren, Fuli Luo and Xu SUN
GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction
Tsu-Jui Fu, Peng-Hsuan Li and Wei-Yun Ma
Learning to Abstract for Memory-augmented Conversational Response Generation
Zhiliang Tian, Wei Bi, Xiaopeng Li and Nevin L. Zhang
FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms
Henry Moss, Andrew Moore, David Leslie and Paul Rayson
Transfer Capsule Network for Aspect Level Sentiment Classification
Zhuang Chen and Tieyun Qian
Are Training Samples Correlated? Learning to Generate Dialogue Responses with Multiple References
Lisong Qiu, Juntao Li, Wei Bi, Dongyan Zhao and Rui Yan
Asking the Crowd: Question Analysis, Evaluation and Generation for Open Discussion on Online Forums
Zi Chai, Xinyu Xing, Xiaojun Wan and Bo Huang
Ensuring Readability and Data-fidelity using Head-modifier Templates in Deep Type Description Generation
Jiangjie Chen, Ao Wang, Haiyun Jiang, Suo Feng, Chenguang Li and Yanghua Xiao
Simple and Effective Text Matching with Richer Alignment Features
Runqi Yang, Jianhai Zhang, Xing Gao, Feng Ji and Haiqing Chen
Semantic Parsing with Dual Learning
Ruisheng Cao, Su Zhu, Chen Liu, Jieyu Li and Kai Yu
ChID: A Large-scale Chinese IDiom Dataset for Cloze Test
Chujie Zheng, Minlie Huang and Aixin Sun
Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation
Bram Bulte and Arda Tezcan
Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network
Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, GUY MOSHKOWICH, Ranit Aharonov and Noam Slonim
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies
Yunsu Kim, Yingbo Gao and Hermann Ney
Towards Explainable NLP: A Generative Explanation Framework for Text Classification
Hui Liu, Qingyu Yin and William Yang Wang
Automatic Evaluation of Local Topic Quality
Jeffrey Lund, Piper Armstrong, Wilson Fearn, Stephen Cowley, Courtni Byun, Jordan Boyd-Graber and Kevin Seppi
Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text
Lukas Ruff, Yury Zemlyanskiy, Robert Vandermeulen, Thomas Schnake and Marius Kloft
Are we there yet? Encoder-decoder neural networks as cognitive models of English past tense inflection
Maria Corkery, Yevgen Matusevych and Sharon Goldwater
SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference
Martin Schmitt and Hinrich Schütze
Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards
Hou Pong Chan, Wang Chen, Lu Wang and Irwin King
#YouToo? Detection of Personal Recollections of Sexual Harassment on Social Media
Arijit Ghosh Chowdhury, Ramit Sawhney, Rajiv Ratn Shah and Debanjan Mahata
Generating Question Relevant Captions to Aid Visual Question Answering
Jialin Wu, Zeyuan Hu and Raymond Mooney
Improving the Robustness of Question Answering Systems to Question Paraphrasing
Wee Chung Gan and Hwee Tou Ng
Continual and Multi-Task Architecture Search
Ramakanth Pasunuru and Mohit Bansal
Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records
Max Friedrich, Arne Köhn, Gregor Wiedemann and Chris Biemann
Crowdsourcing and Aggregating Nested Markable Annotations
Chris Madge, Juntao Yu, Jon Chamberlain, Udo Kruschwitz, Silviu Paun and Massimo Poesio
ARNOR: Attention Regularization based Noise Reduction for Distant Supervision Relation Classification
Wei Jia, Dai Dai, Xinyan Xiao and Hua Wu
The PhotoBook Dataset: Building Common Ground through Visually-Grounded Dialogue
Janosch Haber, Tim Baumgärtner, Ece Takmaz, Lieke Gelderloos, Elia Bruni and Raquel Fernández
Handling Divergent Reference Texts when Evaluating Table-to-Text Generation
Bhuwan Dhingra, Manaal Faruqui, Ankur Parikh, Ming-Wei Chang, Dipanjan Das and William Cohen
Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation
Shuming Ma, Pengcheng Yang, Tianyu Liu, Peng Li, Jie Zhou and Xu SUN
Sparse Sequence-to-Sequence Models
Ben Peters, Vlad Niculae and André F. T. Martins
Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
Deepak Nathani, Jatin Chauhan, Charu Sharma and Manohar Kaul
Morphological Irregularity Correlates with Frequency
Shijie Wu, Ryan Cotterell and Timothy O'Donnell
On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings
Abhik Jana, Dima Puzyrev, Alexander Panchenko, Pawan Goyal, Chris Biemann and Animesh Mukherjee
Robust Representation Learning of Biomedical Names
Minh C. Phan, Aixin Sun and Yi Tay
Semantic expressive capacity with bounded memory
Antoine Venant and Alexander Koller
Abstractive text summarization based on deep learning and semantic content generalization
Panagiotis Kouris, Georgios Alexandridis and Andreas Stafylopatis
Pretraining Methods for Dialog Context Representation Learning
Shikib Mehri, Evgeniia Razumovskaia, Tiancheng Zhao and Maxine Eskenazi
CONAN - COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech
Yi-Ling Chung, Elizaveta Kuzmenko, Serra Sinem Tekiroglu and Marco Guerini
Correlating neural and symbolic representations of language
Grzegorz Chrupała and Afra Alishahi
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned
Elena Voita, David Talbot, Fedor Moiseev, Rico Sennrich and Ivan Titov
Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension
Yichen Jiang, Nitish Joshi, Yen-Chun Chen and Mohit Bansal
Low-resource Deep Entity Resolution with Transfer and Active Learning
Jungo Kasai, Kun Qian, Sairam Gurajada, Yunyao Li and Lucian Popa
A Large-Scale Corpus for Conversation Disentanglement
Jonathan K. Kummerfeld, Sai R. Gouravajhala, Joseph J. Peper, Vignesh Athreya, Chulaka Gunasekara, Jatin Ganhotra, Siva Sankalp Patel, Lazaros C Polymenakos and Walter Lasecki
Hubless Nearest Neighbor Search for Bilingual Lexicon Induction
Jiaji Huang, Qiang Qiu and Kenneth Church
A Cross-Domain Transferable Neural Coherence Model
Peng Xu, Hamidreza Saghir, Jin Sung Kang, Teng Long, Avishek Joey Bose, Yanshuai Cao and Jackie Chi Kit Cheung
Zero-Shot Entity Linking by Reading Entity Descriptions
Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin and Honglak Lee
Detecting Concealed Information in Text and Speech
Shengli Hu
Zero-shot Word Sense Disambiguation using Sense Definition Embeddings
Sawan Kumar, Sharmistha Jat, Karan Saxena and Partha Talukdar
Unsupervised Neural Text Simplification
Sai Surya, Abhijit Mishra, Anirban Laha, Parag Jain and Karthik Sankaranarayanan
Self-Supervised Dialogue Learning
Jiawei Wu, Xin Wang and William Yang Wang
Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge
Ziran Li, Ning Ding, Zhiyuan Liu, Haitao Zheng and Ying Shen
Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling
Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas Mccoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen, Benjamin Van Durme, Edouard Grave, Ellie Pavlick and Samuel R. Bowman
Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming
Caio Corro and Ivan Titov
Evidence-based Trustworthiness
Yi Zhang, Zachary Ives and Dan Roth
ELI5: Long Form Question Answering
Angela Fan, Yacine Jernite, Ethan Perez, David Grangier, Jason Weston and Michael Auli
Fine-Grained Temporal Relation Extraction
Siddharth Vashishtha, Benjamin Van Durme and Aaron Steven White
Distant Learning for Entity Linking with Automatic Noise Detection
Phong Le and Ivan Titov
AMR Parsing as Sequence-to-Graph Transduction
Sheng Zhang, Xutai Ma, Kevin Duh and Benjamin Van Durme
Boosting Entity Linking Performance by Leveraging Unlabeled Documents
Phong Le and Ivan Titov
Gender-preserving Debiasing for Pre-trained Word Embeddings
Masahiro Kaneko and Danushka Bollegala
Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text
Bidisha Samanta, Niloy Ganguly and Soumen Chakrabarti
Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis
Jialong Tang, Ziyao Lu, Jinsong SU, Yubin Ge, Linfeng Song, Le Sun and Jiebo Luo
End-to-End Sequential Metaphor Identification Inspired by Linguistic Theories
Rui Mao, Chenghua Lin and Frank Guerin
Like a Baby: Visually Situated Neural Language Acquisition
Alexander Ororbia, Ankur Mali, Matthew Kelly and David Reitter
Learning to Discover, Ground and Use Words with Segmental Neural Language Models
Kazuya Kawakami, Chris Dyer and Phil Blunsom
Relational Word Embeddings
Jose Camacho-Collados, Luis Espinosa Anke and Steven Schockaert
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Zihang Dai, Zhilin Yang, Yiming Yang, Jaime Carbonell, Quoc Le and Ruslan Salakhutdinov
Optimal Transport-based Alignment of Learned Character Representations for String Similarity
Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das and Andrew McCallum
Exploring Pre-trained Language Models for Event Extraction and Generation
Sen Yang, Dawei Feng, Linbo Qiao, Zhigang Kan and Dongsheng Li
What should I ask? Using conversationally informative rewards for goal-oriented visual dialog.
pushkar shukla, Carlos Elmadjian, Richika Sharan, Vivek Kulkarni, Matthew Turk and William Yang Wang
Syntax-Infused Variational Autoencoder for Text Generation
Xinyuan Zhang, Yi Yang, Siyang Yuan, Dinghan Shen and Lawrence Carin
Generating Logical Forms from Graph Representations of Text and Entities
Peter Shaw, Philip Massey, Angelica Chen, Francesco Piccinno and Yasemin Altun
Interpretable Neural Predictions with Differentiable Binary Variables
Joost Bastings, Wilker Aziz and Ivan Titov
RankQA: Neural Question Answering with Answer Re-Ranking
Bernhard Kratzwald, Anna Eigenmann and Stefan Feuerriegel
Self-Regulated Interactive Sequence-to-Sequence Learning
Julia Kreutzer and Stefan Riezler
Symbolic inductive bias for visually grounded learning of spoken language
Grzegorz Chrupała
Merge and Label: A novel neural network architecture for nested NER
Joseph Fisher and Andreas Vlachos
Classification and Clustering of Arguments with Contextualized Word Embeddings
Nils Reimers, Benjamin Schiller, Tilman Beck, Johannes Daxenberger, Christian Stab and Iryna Gurevych
A Spreading Activation Framework for Tracking Conceptual Complexity of Texts
Ioana Hulpuș, Sanja Štajner and Heiner Stuckenschmidt
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference
Tom McCoy, Ellie Pavlick and Tal Linzen
Bridging the Gap between Training and Inference for Neural Machine Translation
Wen Zhang, Yang Feng, Fandong Meng, Di You and Qun Liu
Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning
Edwin Simpson, Erik-Lân Do Dinh, Tristan Miller and Iryna Gurevych
A Simple Theoretical Model of Importance for Summarization
Maxime Peyrard
Relating Simple Sentence Representations in Deep Neural Networks and the Brain
Sharmistha Jat, Hao Tang, Partha Talukdar and Tom Mitchell
Spatial Aggregation Facilitates Discovery of Spatial Topics
Aniruddha Maiti and Slobodan Vucetic
Argument Generation with Retrieval, Planning, and Realization
Xinyu Hua, Zhe Hu and Lu Wang
Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations
Jiatao Gu, Yong Wang, Kyunghyun Cho and Victor O.K. Li
The (Non-)Utility of Structural Features in BiLSTM-based Dependency Parsers
Agnieszka Falenska and Jonas Kuhn
Strategies for Structuring Story Generation
Angela Fan, Mike Lewis and Yann Dauphin
Learning Compressed Sentence Representations for On-Device Text Processing
Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz and Lawrence Carin
Multi-task Pairwise Neural Ranking for Hashtag Segmentation
Mounica Maddela, Wei Xu and Daniel Preoţiuc-Pietro
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models
Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao and Lawrence Carin
Using LSTMs to Assess the Obligatoriness of Phonological Distinctive Features for Phonotactic Learning
Nicole Mirea and Klinton Bicknell
Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes
Jie Cao, Michael Tanana, Zac Imel, Eric Poitras, David Atkins and Vivek Srikumar
Entity-Centric Contextual Affective Analysis
Anjalie Field and Yulia Tsvetkov
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog
Zhe Gan, Yu Cheng, Ahmed Kholy, Linjie Li, Jingjing Liu and Jianfeng Gao
Lattice Transformer for Speech Translation
Pei Zhang, Niyu Ge, Boxing Chen and Kai Fan
Generalized Data Augmentation for Low-Resource Translation
Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos and Graham Neubig
Language Modelling Makes Sense: Propagating Representations through WordNet for Full-Coverage Word Sense Disambiguation
Daniel Loureiro and Alípio Jorge
Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings
Yadollah Yaghoobzadeh, Katharina Kann, T. J. Hazen, Eneko Agirre and Hinrich Schütze
Multi-Task Learning for Coherence Modeling
Youmna Farag and Helen Yannakoudakis
One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues
Chongyang Tao, wei wu, Can Xu, Wenpeng Hu, Dongyan Zhao and Rui Yan
Disentangled Representation Learning for Non-Parallel Text Style Transfer
Vineet John, Lili Mou, Hareesh Bahuleyan and Olga Vechtomova
HighRES: Highlight-based Reference-less Evaluation of Summarization
Hardy Hardy, Shashi Narayan and Andreas Vlachos
Unraveling Antonym's Word Vectors through a Siamese-like Network
Mathias Etcheverry and Dina Wonsever
Latent Retrieval for Weakly Supervised Open Domain Question Answering
Kenton Lee, Ming-Wei Chang and Kristina Toutanova
Unsupervised Multilingual Word Embedding with Limited Resources using Neural Language Models
Takashi Wada, Tomoharu Iwata and Yuji Matsumoto
Improving Textual Network Embedding with Global Attention via Optimal Transport
Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang and Lawrence Carin
Sentiment Tagging with Partial Labels using Modular Architectures
Xiao Zhang and Dan Goldwasser
Open Domain Event Extraction Using Neural Latent Variable Models
Xiao Liu, Heyan Huang and Yue Zhang
Choosing Transfer Languages for Cross-Lingual Learning
Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee, Zirui Li, Yuyan Zhang, Mengzhou Xia, Shruti Rijhwani, Junxian He, Zhisong Zhang, Xuezhe Ma, Antonios Anastasopoulos, Patrick Littell and Graham Neubig
Unsupervised Discovery of Gendered Language through Latent-Variable Modeling
Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna Wallach, Isabelle Augenstein and Ryan Cotterell
Informative Image Captioning with External Sources of Information
Sanqiang Zhao, Piyush Sharma, Tomer Levinboim and Radu Soricut
Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks
Hongyu Lin, Yaojie Lu, Xianpei Han and Le Sun
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives
Yi Tay, Shuohang Wang, Anh Tuan Luu, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui and Aston Zhang
Neural Network Alignment for Sentential Paraphrases
Jessica Ouyang and Kathy McKeown
A Unified Linear-Time Framework for Sentence-Level Discourse Parsing
Xiang Lin, Shafiq Joty, Prathyusha Jwalapuram and M Saiful Bari
Literary Event Detection
Matthew Sims, Jong Ho Park and David Bamman
CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication
Jin-Hwa Kim, Nikita Kitaev, Xinlei Chen, Marcus Rohrbach, Byoung-Tak Zhang, Yuandong Tian, Dhruv Batra and Devi Parikh
Syntactically Supervised Transformers for Faster Neural Machine Translation
Nader Akoury, Kalpesh Krishna and Mohit Iyyer
Duality of Link Prediction and Entailment Graph Induction
Mohammad Javad Hosseini, Shay B. Cohen, Mark Johnson and Mark Steedman
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks
Yi Tay, Aston Zhang, Anh Tuan Luu, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu and Siu Cheung Hui
Sentence-Level Evidence Embedding for Claim Verification with Hierarchical Attention Networks
Jing Ma, Wei Gao, Shafiq Joty and Kam-Fai Wong
Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction
Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin and Debasis Ganguly
Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset
Hannah Rashkin, Eric Michael Smith, Margaret Li and Y-Lan Boureau
Predicting Human Activities from User-Generated Content
Steven Wilson and Rada Mihalcea
Scaling Up Open Tagging from Tens to Thousands: Comprehension Empowered Attribute Value Extraction from Product Title
Huimin Xu, Wenting Wang, Xin Mao, Xinyu Jiang and Man Lan
Multi-hop Reading Comprehension through Question Decomposition and Rescoring
Sewon Min, Victor Zhong, Luke Zettlemoyer and Hannaneh Hajishirzi
Incremental Transformer with Deliberation Decoder for Document Grounded Conversations
Zekang Li, Cheng Niu, Fandong Meng, Yang Feng, Qian Li and Jie Zhou
Matching the Blanks: Distributional Similarity for Relation Learning
Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling and Tom Kwiatkowski
Stay on the Path: Instruction Fidelity in Vision-and-Language Navigation
Vihan Jain, Gabriel Magalhaes, Alexander Ku, Ashish Vaswani, Eugene Ie and Jason Baldridge
Compound Probabilistic Context-Free Grammars for Grammar Induction
Yoon Kim, Chris Dyer and Alexander Rush
Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization
Hai Ye, Wenjie Li and Lu Wang
Accelerating Sparse Matrix Operations in Neural Networks on Graphics Processing Units
Arturo Argueta and David Chiang
Combining Knowledge Hunting and Neural Language Models to Solve the Winograd Schema Challenge
Ashok Prakash, Arpit Sharma, Arindam Mitra and Chitta Baral
HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization
Xingxing Zhang, Furu Wei and Ming Zhou
Multi-Task Deep Neural Networks for Natural Language Understanding
Xiaodong Liu, Pengcheng He, Weizhu Chen and Jianfeng Gao
DisSent: Learning Sentence Representations from Explicit Discourse Relations
Allen Nie, Erin Bennett and Noah Goodman
Massively Multilingual Transfer for NER
Afshin Rahimi, Yuan Li and Trevor Cohn
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction
Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz and Yejin Choi
Unsupervised Pivot Translation for Distant Languages
Yichong Leng, Xu Tan, Tao QIN, Xiang-Yang Li and Tie-Yan Liu
CogNet: a Large-Scale Cognate Database
Khuyagbaatar Batsuren, Gabor Bella and Fausto Giunchiglia
Semi-supervised Stochastic Multi-Domain Learning using Variational Inference
Yitong Li, Timothy Baldwin and Trevor Cohn
Tree Communication Models for Sentiment Analysis
Yuan Zhang and Yue Zhang
Dynamically Composing Domain-Data Selection with Clean-Data Selection by ``Co-Curricular Learning" for Neural Machine Translation
Wei Wang, Isaac Caswell and Ciprian Chelba
Modeling affirmative and negated action processing in the brain with lexical and compositional semantic models
Vesna Djokic, Jean Maillard, Luana Bulat and Ekaterina Shutova
Neural Temporality Adaptation for Document Classification: Diachronic Word Embeddings and Domain Adaptation Models
Xiaolei Huang and Michael J. Paul
Careful Selection of Knowledge to solve Open Book Question Answering
Pratyay Banerjee, Kuntal Kumar Pal, Arindam Mitra and Chitta Baral
Tree LSTMs with Convolution Units to Predict Stance and Rumor Veracity in Social Media Conversations
Sumeet Kumar and Kathleen Carley
Learning to Select, Track, and Generate for Data-to-Text
Hayate Iso, Yui Uehara, Tatsuya Ishigaki, Hiroshi Noji, Eiji ARAMAKI, Ichiro Kobayashi, Yusuke Miyao, Naoaki Okazaki and Hiroya Takamura
Scoring Sentence Singletons and Pairs for Abstractive Summarization
Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang and Fei Liu
SParC: Cross-Domain Semantic Parsing in Context
Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher and Dragomir Radev
Scalable Syntax-Aware Language Models Using Knowledge Distillation
Adhiguna Kuncoro, Chris Dyer, Laura Rimell, Stephen Clark and Phil Blunsom
HellaSwag: Can a Machine Really Finish Your Sentence?
Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi and Yejin Choi
Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following
David Gaddy and Dan Klein
Multi-Relational Script Learning for Discourse Relations
I-Ta Lee and Dan Goldwasser
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
Yue Dong, Zichao Li, Mehdi Rezagholizadeh and Jackie Chi Kit Cheung
Deep Neural Model Inspection and Comparison via Functional Neuron Pathways
James Fiacco, Samridhi Choudhary and Carolyn Rose
Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering
Peng Wu, Shujian Huang, Rongxiang Weng, Zaixiang Zheng, Jianbing Zhang, Xiaohui Yan and Jiajun CHEN
Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks
Shikhar Vashishth, Manik Bhandari, Prateek Yadav, Piyush Rai, Chiranjib Bhattacharyya and Partha Talukdar
Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling
Nasser Zalmout and Nizar Habash
Bridging by Word: Image Grounded Vocabulary Construction for Visual Captioning
Zhihao Fan, Zhongyu Wei, Siyuan Wang and Xuanjing Huang
Assessing the Ability of Self-Attention Networks to Learn Word Order
Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao and Zhaopeng Tu
The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution
Ali Emami, Paul TRICHELAIR, Adam Trischler, Kaheer Suleman, Hannes Schulz and Jackie Chi Kit Cheung
Reinforced Dynamic Reasoning for Conversational Question Generation
Boyuan Pan, Hao Li, Ziyu Yao, Deng Cai and Huan Sun
StRE: Self Attentive Edit Quality Prediction in Wikipedia
Soumya Sarkar, Bhanu Prakash Reddy, Sandipan Sikdar and Animesh Mukherjee
Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization
Sangwoo Cho, Logan Lebanoff, Hassan Foroosh and Fei Liu
Dynamically Fused Graph Network for Multi-hop Reasoning
Lin Qiu, Yunxuan Xiao, Yanru Qu, Hao Zhou, Lei Li, Weinan Zhang and Yong Yu
On the Word Alignment from Neural Machine Translation
Xintong Li, Guanlin Li, Lemao Liu, Max Meng and Shuming Shi
Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-ray Report
Baoyu Jing, Zeya Wang and Eric Xing
The Linguistic Development of Mental Health Counselors
Justine Zhang, Robert Filbin, Christine Morrison, Jaclyn Weiser and Cristian Danescu-Niculescu-Mizil
Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)
Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas, Roger Zimmermann, Rada Mihalcea and Soujanya Poria
Curate and Generate: A Corpus and Method for Joint Control of Semantics and Style in Neural NLG
Shereen Oraby, Vrindavan Harrison, Abteen Ebrahimi and Marilyn Walker
Variational Pretraining for Semi-supervised Text Classification
Suchin Gururangan, Tam Dang, Dallas Card and Noah A. Smith
Imitation Learning for Non-Autoregressive Neural Machine Translation
Bingzhen Wei, Mingxuan Wang, Hao Zhou, Junyang Lin and Xu SUN
Second-Order Semantic Dependency Parsing with End-to-End Neural Networks
Xinyu Wang, Jingxian Huang and Kewei Tu
Automated Chess Commentator Powered by Neural Chess Engine
Hongyu Zang, Zhiwei Yu and Xiaojun Wan
Domain Adaptive Dialog Generation via Meta Learning
Kun Qian and Zhou Yu
Cross-Sentence Grammatical Error Correction
Shamil Chollampatt, Weiqi Wang and Hwee Tou Ng
Course Concept Expansion in MOOCs with External Knowledge and Interactive Game
Jifan Yu, Chenyu Wang, Gan Luo, Lei Hou, Juanzi Li, Zhiyuan Liu and Jie Tang
Word and Document Embedding with vMF-Mixture Priors on Context Word Vectors
Shoaib Jameel and Steven Schockaert
Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA
Yichen Jiang and Mohit Bansal
TWEETQA: A Social Media Focused Question Answering Dataset
Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo and William Yang Wang
Is Attention Interpretable?
Sofia Serrano and Noah A. Smith
Exploiting Explicit Paths for Multi-hop Reading Comprehension
Souvik Kundu, Tushar Khot, Ashish Sabharwal and Peter Clark
Incorporating Priors with Feature Attribution on Text Classification
Frederick Liu and Besim Avci
Explain Yourself! Leveraging Language Models for Commonsense Reasoning
Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong and Richard Socher
Sequence Tagging with Contextual and Non-Contextual Subword Representations: A Multilingual Evaluation
Benjamin Heinzerling and Michael Strube
Multimodal and Multi-view Models for Emotion Recognition
Gustavo Aguilar, Viktor Rozgic, Weiran Wang and Chao Wang
Learning How to Active Learn by Dreaming
Thuy-Trang Vu, Ming Liu, Dinh Phung and Gholamreza Haffari
Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections
Junxian He, Zhisong Zhang, Taylor Berg-Kirkpatrick and Graham Neubig
Handling Domain Shift in Coreference Evaluation by Using Automatically Extracted Minimum Spans
Nafise Sadat Moosavi, Leo Born, Massimo Poesio and Michael Strube
Interpretable Question Answering on Knowledge Bases and Text
Alona Sydorova, Nina Poerner and Benjamin Roth
Sentence Mover's Similarity: Automatic Evaluation for Multi-Sentence Texts
Elizabeth Clark, Asli Celikyilmaz and Noah A. Smith
Know More about Each Other: Evolving Dialogue Strategy via Compound Assessment
Siqi Bao, Huang He, Fan Wang, Rongzhong Lian and Hua Wu
DeepSentiPeer: Harnessing Sentiment in Review Texts To Recommend Peer Review Decisions
Tirthankar Ghosal, Rajeev Verma, Asif Ekbal and Pushpak Bhattacharyya
Unified Semantic Parsing with Weak Supervision
Priyanka Agrawal, Ayushi Dalmia, Parag Jain, Abhishek Bansal, Ashish Mittal and Karthik Sankaranarayanan
How Large Are Lions? Inducing Distributions over Quantitative Attributes
Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran, Tania Bedrax-Weiss and Dan Roth
Combating Adversarial Misspellings with Robust Word Recognition
Danish Pruthi, Bhuwan Dhingra and Zachary C. Lipton
Barack's Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling
Robert Logan, Nelson F. Liu, Matthew E. Peters, Matt Gardner and Sameer Singh
Unsupervised Learning of PCFGs with Normalizing Flow
Lifeng Jin, Finale Doshi-Velez, Timothy Miller, Lane Schwartz and William Schuler
Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation
Jiaqi Guo, Zecheng Zhan, Yan Gao, Yan Xiao, Jian-Guang LOU, Ting Liu and Dongmei Zhang
Variance of average surprisal: a better predictor for quality of grammar from unsupervised PCFG induction
Lifeng Jin and William Schuler
Training Neural Response Selection for Task-Oriented Dialogue Systems
Matthew Henderson, Ivan Vulić, Daniela Gerz, Iñigo Casanueva, Paweł Budzianowski, Sam Coope, Georgios Spithourakis, Tsung-Hsien Wen, Nikola Mrkšić and Pei-Hao Su
Cross-Domain NER using Cross-Domain Language Modeling
Chen Jia, Xiaobo Liang and Yue Zhang
Improving Multi-turn Dialogue Modelling with Utterance ReWriter
Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu and Jie Zhou
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction
Christoph Alt, Marc Hübner and Leonhard Hennig
Controllable Paraphrase Generation with a Syntactic Exemplar
Mingda Chen, Qingming Tang, Sam Wiseman and Kevin Gimpel
Collaborative Dialogue in Minecraft
Anjali Narayan-Chen, Prashant Jayannavar and Julia Hockenmaier
Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading
Lianhui Qin, Michel Galley, Chris Brockett, Xiaodong Liu, Xiang Gao, Bill Dolan, Yejin Choi and Jianfeng Gao
Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications
Wei Zhao, Haiyun Peng, Steffen Eger, Erik Cambria and Min Yang
Decomposable Neural Paraphrase Generation
Zichao Li, Xin Jiang, Lifeng Shang and Qun Liu
Incorporating Linguistic Constraints into Keyphrase Generation
Jing Zhao and Yuxiang Zhang
Few-Shot Representation Learning for Out-Of-Vocabulary Words
Ziniu Hu, Ting Chen, Kai-Wei Chang and Yizhou Sun
An automated framework for fast cognate detection and Bayesian phylogenetic inference in computational historical linguistics
Taraka Rama and Johann-Mattis List
Determining Relative Argument Specificity and Stance for Complex Argumentative Structures
Esin Durmus, Faisal Ladhak and Claire Cardie
Learning Morphosyntactic Analyzers from the Bible via Iterative Annotation Projection across 26 Languages
Garrett Nicolai and David Yarowsky
Keeping Notes: Conditional Natural Language Generation with a Scratchpad Encoder
Ryan Benmalek, Madian Khabsa, Suma Desu, Claire Cardie and Michele Banko
Fine-Grained Sentence Functions for Short-Text Conversation
Wei Bi, Jun Gao, Xiaojiang Liu and Shuming Shi
From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion
Roy Bar-Haim, Dalia Krieger, Orith Toledo-Ronen, Lilach Edelstein, Yonatan Bilu, Alon Halfon, Yoav Katz, Amir Menczel, Ranit Aharonov and Noam Slonim
Monotonic Infinite Lookback Attention for Simultaneous Machine Translation
Naveen Arivazhagan, Colin Cherry, Wolfgang Macherey, Chung-Cheng Chiu, Semih Yavuz, Ruoming Pang, Wei Li and Colin Raffel
Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses
Étienne Simon, Vincent Guigue and Benjamin Piwowarski
Soft Representation Learning for Sparse Transfer
Haeju Park, Jinyoung Yeo, Gengyu Wang and Seung-won Hwang
Word2Sense: Sparse Interpretable Word Embeddings
Abhishek Panigrahi, Harsha Vardhan Simhadri and Chiranjib Bhattacharyya
Domain Adaptation of Neural Machine Translation by Lexicon Induction
Junjie Hu, Mengzhou Xia, Graham Neubig and Jaime Carbonell
EigenSent: Spectral sentence embeddings using higher-order Dynamic Mode Decomposition
Subhradeep Kayal and George Tsatsaronis
Multi-task Learning with Task, Group, and Universe Feature Learning
Shiva Pentyala, Mengwen Liu and Markus Dreyer
Automatically Identifying Complaints in Social Media
Daniel Preoţiuc-Pietro, Mihaela Gaman and Nikolaos Aletras
Matching Article Pairs with Graphical Decomposition and Convolutions
Bang Liu, Di Niu, Haojie Wei, Jinghong Lin, Yancheng He, Kunfeng Lai and Yu Xu
Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B
Jiaming Luo, Yuan Cao and Regina Barzilay
Exploiting Invertible Decoders for Unsupervised Sentence Representation Learning
Shuai Tang and Virginia R. de Sa
Neural Response Generation with Meta-words
Can Xu, wei wu, Chongyang Tao, Huang Hu, Matt Schuerman and Ying Wang
Towards Comprehensive Description Generation from Factual Attribute-value Tables
Tianyu Liu, Fuli Luo, Pengcheng Yang, Wei Wu, Baobao Chang and Zhifang Sui
Categorizing and Inferring the Relationship between the Text and Image of Twitter Posts
Alakananda Vempala and Daniel Preoţiuc-Pietro
Expressing Visual Relationships via Language
Hao Tan, Franck Dernoncourt, Zhe Lin, Trung Bui and Mohit Bansal
Zero-Shot Cross-Lingual Abstractive Sentence Summarization through Teaching Generation and Attention
Xiangyu Duan, Mingming Yin, Min Zhang, Boxing Chen and Weihua Luo
Beyond BLEU:Training Neural Machine Translation with Semantic Similarity
John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel and Graham Neubig
Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good
Xuewei Wang, Weiyan Shi, Richard Kim, Yoojung Oh, Sijia Yang, Jingwen Zhang and Zhou Yu
Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces
Barun Patra, Joel Ruben Antony Moniz, Sarthak Garg, Matthew R. Gormley and Graham Neubig
Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue
Anusha Balakrishnan, Jinfeng Rao, Kartikeya Upasani, Michael White and Rajen Subba
Quantifying Similarity between Relations with Fact Distribution
Weize Chen, Hao Zhu, Xu Han, Zhiyuan Liu and Maosong Sun
An Effective Approach to Unsupervised Machine Translation
Mikel Artetxe, Gorka Labaka and Eneko Agirre
NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language
Leon Weber, Pasquale Minervini, Jannes Münchmeyer, Ulf Leser and Tim Rocktäschel
Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems
Hung Le, Doyen Sahoo, Nancy Chen and Steven Hoi
Graph-based Dependency Parsing with Graph Neural Networks
Tao Ji, Yuanbin Wu and Man Lan
You Write Like You Eat: Stylistic Variation as a Predictor of Social Stratification
Angelo Basile, Albert Gatt and Malvina Nissim
Transforming Complex Sentences into a Semantic Hierarchy
Christina Niklaus, Matthias Cetto, André Freitas and Siegfried Handschuh
Global Optimization under Length Constraint for Neural Text Summarization
Takuya Makino, Tomoya Iwakura, Hiroya Takamura and Manabu Okumura
Latent Variable Sentiment Grammar
Liwen Zhang, Kewei Tu and Yue Zhang
Wide-Coverage Neural A* Parsing for Minimalist Grammars
John Torr, Milos Stanojevic, Mark Steedman and Shay B. Cohen
Enhancing Unsupervised Generative Dependency Parser with Contextual Information
Wenjuan Han, Yong Jiang and Kewei Tu
Open-Domain Why-Question Answering with Adversarial Learning to Encode Answer Texts
Jong-Hoon Oh, Kazuma Kadowaki, Julien Kloetzer, Ryu Iida and Kentaro Torisawa
Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts
Rui Xia and Zixiang Ding
Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis
Junyi Du, He Jiang, Jiaming Shen and Xiang Ren
Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change
Haim Dubossarsky, Simon Hengchen, Nina Tahmasebi and Dominik Schlechtweg
Language Modeling with Shared Grammar
Yuyu Zhang and Le Song
Ordinal and Attribute Aware Response Generation in a Multimodal Dialogue System
Hardik Chauhan, Mauajama Firdaus, Asif Ekbal and Pushpak Bhattacharyya
Improving Neural Conversational Models with Entropy-Based Data Filtering
Richárd Csáky, Patrik Purgai and Gábor Recski
Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation
Ning Dai, Jianze Liang, Xipeng Qiu and Xuanjing Huang
Distilling Translations with Visual Awareness
Julia Ive, Pranava Madhyastha and Lucia Specia
Encoding Social Information with Graph Convolutional Networks forPolitical Perspective Detection in News Media
Chang Li and Dan Goldwasser
Reference Network for Neural Machine Translation
Han Fu, Chenghao Liu and Jianling Sun
Target-Guided Open-Domain Conversation
Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric Xing and Zhiting Hu
Mitigating Gender Bias in Natural Language Processing: Literature Review
Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang and William Yang Wang
VIFIDEL: Evaluating the Visual Fidelity of Image Descriptions
Pranava Madhyastha, Josiah Wang and Lucia Specia
Searching for Effective Neural Extractive Summarization: What Works and What’s Next
Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu and Xuanjing Huang
Give Me More Feedback II: Annotating Thesis Strength and Related Attributes in Student Essays
Zixuan Ke, Hrishikesh Inamdar, Hui Lin and Vincent Ng
Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation
Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen and Jie Zhou
Modeling Semantic Compositionality with Sememe Knowledge
Fanchao Qi, Junjie Huang, Chenghao Yang, Zhiyuan Liu, Xiao Chen, Qun Liu and Maosong Sun
Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings
Vihari Piratla, Sunita Sarawagi and Soumen Chakrabarti
Learning to Ask Unanswerable Questions for Machine Reading Comprehension
Haichao Zhu, Li Dong, Furu Wei, Wenhui Wang, Bing Qin and Ting Liu
Graph Neural Networks with Generated Parameters for Relation Extraction
Hao Zhu, Yankai Lin, Zhiyuan Liu, Jie Fu, Tat-Seng Chua and Maosong Sun
A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining
Shweta Yadav, Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya
Gated Embeddings in End-to-End Speech Recognition for Conversational-Context Fusion
Suyoun Kim, Siddharth Dalmia and Florian Metze
A Lightweight Recurrent Network for Sequence Modeling
Biao Zhang and Rico Sennrich
STACL: Simultaneous Translation with Implicit Anticipation and Controllable Latency using Prefix-to-Prefix Framework
Mingbo Ma, Liang Huang, Hao Xiong, Renjie Zheng, Kaibo Liu, Baigong Zheng, Chuanqiang Zhang, Zhongjun He, Hairong Liu, Xing Li, Hua Wu and Haifeng Wang
Generating Sentences from Disentangled Syntactic and Semantic Spaces
Yu Bao, Hao Zhou, Shujian Huang, Lei Li, Lili Mou, Olga Vechtomova, XIN-YU DAI and Jiajun CHEN
Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index (DenSPI)
Minjoon Seo, Jinhyuk Lee, Tom Kwiatkowski, Ankur Parikh, Ali Farhadi and Hannaneh Hajishirzi
Multi-Channel Graph Neural Network for Entity Alignment
Yixin Cao, Zhiyuan Liu, Chengjiang Li, Zhiyuan Liu, Juanzi Li and Tat-Seng Chua
Short Papers (Main Conference)
Neural-based Chinese Idiom Recommendation for Enhancing Elegance in Essay Writing
yuanchao liu
Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection
Adith Iyer, Aditya Joshi, Sarvnaz Karimi, Ross Sparks and Cecile Paris
Better Exploiting Latent Variables in Text Modeling
Canasai Kruengkrai
Crowdsourcing and Validating Event-focused Emotion Corpora for German and English
Enrica Troiano, Sebastian Padó and Roman Klinger
Hierarchical Transfer Learning for Multi-label Text Classification
Siddhartha Banerjee, Cem Akkaya, Francisco Perez-Sorrosal and Kostas Tsioutsiouliklis
Keep Meeting Summaries on Topic: Abstractive Multi-Modal Meeting Summarization
Manling Li, Lingyu Zhang, Heng Ji and Richard J. Radke
Adversarial Domain Adaptation Using Artificial Titles for Abstractive Title Generation
Francine Chen and Yan-Ying Chen
SemBleu: A Robust Metric for AMR Parsing Evaluation
Linfeng Song and Daniel Gildea
Look Harder: A Neural Machine Translation Model with Hard Attention
Sathish Reddy Indurthi, Insoo Chung and Sangha Kim
Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation
Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell and Kate Saenko
Robust Neural Machine Translation with Joint Textual and Phonetic Embedding
Hairong Liu, Mingbo Ma, Liang Huang, hao xiong and Zhongjun He
The Referential Reader: A Recurrent Entity Network for Anaphora Resolution
Fei Liu, Luke Zettlemoyer and Jacob Eisenstein
A Neural Multi-digraph Model for Chinese NER with Gazetteers
Ruixue Ding, Pengjun Xie, Xiaoyan Zhang, Wei Lu, Linlin Li and Luo Si
Neural Architectures for Nested NER through Linearization
Jana Straková, Milan Straka and Jan Hajic
Aiming beyond the Obvious: Identifying Non-Obvious Cases in Semantic Similarity Datasets
Nicole Peinelt, Maria Liakata and Dong Nguyen
Bias Analysis and Mitigation in the Evaluation of Authorship Verification
Janek Bevendorff, Matthias Hagen, Benno Stein and Martin Potthast
Self-Supervised Neural Machine Translation
Dana Ruiter, Cristina España-Bonet and Josef van Genabith
Who Sides With Whom? Towards Computational Construction of Discourse Networks for Political Debates
Sebastian Padó, Andre Blessing, Nico Blokker, Erenay Dayanik, Sebastian Haunss and Jonas Kuhn
Visual Story Post-Editing
Ting-Yao Hsu, Chieh-Yang Huang, Yen-Chia Hsu and Ting-Hao Huang
Quantity Tagger: A Latent-Variable Sequence Labeling Approach to Solving Addition-Subtraction Word Problems
Yanyan Zou and Wei Lu
Numeracy-600K: Learning Numeracy for Detecting Exaggerated Information in Market Comments
Chung-Chi Chen, Hen-Hsen Huang, Hiroya Takamura and Hsin-Hsi Chen
Adaptive Attention Span in Transformers
Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski and Armand Joulin
Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers
Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo and Saloni Potdar
Generalized Tuning of Distributional Word Vectors for Monolingual and Cross-Lingual Lexical Entailment
Goran Glavaš and Ivan Vulić
Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network
Sunil Kumar Sahu, Fenia Christopoulou, Makoto Miwa and Sophia Ananiadou
NNE: A Dataset for Nested Named Entity Recognition in English Newswire
Nicky Ringland, Xiang Dai, Ben Hachey, Sarvnaz Karimi, Cecile Paris and James R. Curran
Misleading Failures of Partial-input Baselines
Shi Feng, Eric Wallace and Jordan Boyd-Graber
Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations
Rui Zhang, Caitlin Westerfield, Sungrok Shim, Garrett Bingham, Alexander Fabbri, William Hu, Neha Verma and Dragomir Radev
Online Infix Probability Computation for Probabilistic Finite Automata
Marco Cognetta, Yo-Sub Han and Soon Chan Kwon
Exact Hard Monotonic Attention for Character-Level Transduction
Shijie Wu and Ryan Cotterell
Soft Contextual Data Augmentation for Neural Machine Translation
Fei Gao, Jinhua Zhu, Lijun Wu, Yingce Xia, Tao Qin, Xueqi Cheng, Wengang Zhou and Tie-Yan Liu
How to best use Syntax in Semantic Role Labelling
Yufei Wang, Mark Johnson, Stephen Wan, Yifang Sun and Wei Wang
Leveraging Meta Information in Short Text Aggregation
He Zhao, Lan Du, Guanfeng Liu and Wray Buntine
Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference
He Bai, Yu Zhou, Jiajun Zhang and Chengqing Zong
Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network
Kun Xu, liwei wang, Mo Yu, Yansong Feng, Yan Song, Zhiguo Wang and Dong Yu
A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning
Gonçalo M. Correia and André F. T. Martins
The Risk of Racial Bias in Hate Speech Detection
Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi and Noah A. Smith
Pay attention when you pay the bills. A multilingual corpus with dependency-based and semantic annotation of collocations.
Marcos Garcia, Marcos García Salido, Susana Sotelo Docío, Estela Mosqueira and Margarita Alonso-Ramos
CNNs found to jump around more skillfully than RNNs: Compositional generalization in seq2seq convolutional networks
Roberto Dessì and Marco Baroni
Do you know that Florence is packed with visitors? Evaluating state-of-the-art models of speaker commitment
Nanjiang Jiang and Marie-Catherine de Marneffe
An Imitation Learning Approach to Unsupervised Parsing
Bowen Li, Lili Mou and Frank Keller
Domain Adaptive Inference for Neural Machine Translation
Danielle Saunders, Felix Stahlberg, Adrià de Gispert and Bill Byrne
Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization
Mozhi Zhang, Keyulu Xu, Ken-ichi Kawarabayashi, Stefanie Jegelka and Jordan Boyd-Graber
BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization
Eva Sharma, Chen Li and Lu Wang
A Deep Reinforced Sequence-to-Set Model for Multi-Label Classification
Pengcheng Yang, Fuli Luo, Shuming Ma, Junyang Lin and Xu SUN
Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information
Pengcheng Yang, Zhihan Zhang, Fuli Luo, Lei Li, Chengyang Huang and Xu SUN
Learning to Control the Fine-grained Sentiment for Story Ending Generation
Fuli Luo, Damai Dai, Pengcheng Yang, Tianyu Liu, Baobao Chang, Zhifang Sui and Xu SUN
Reranking for Neural Semantic Parsing
Pengcheng Yin and Graham Neubig
An Empirical Investigation of Structured Output Modeling for Graph-based Neural Dependency Parsing
Zhisong Zhang, Xuezhe Ma and Eduard Hovy
PTB Graph Parsing with Tree Approximation
Yoshihide Kato and Shigeki Matsubara
Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study
Chinnadhurai Sankar, Sandeep Subramanian, Chris Pal, Sarath Chandar and Yoshua Bengio
Cost-sensitive Regularization for Label Confusion-aware Event Detection
Hongyu Lin, Yaojie Lu, Xianpei Han and Le Sun
Using Human Attention to Extract Keyphrase from Microblog Post
Yingyi Zhang and Chengzhi Zhang
Does It Make Sense And Why A Pilot Study for Sense Making and Explanation
Cunxiang Wang, Shuailong Liang, Yue Zhang, Xiaonan Li and Tian Gao
Delta Embedding Learning
Xiao Zhang, Ji Wu and Dejing Dou
Personalizing Dialogue Agents via Meta-Learning
Andrea Madotto, Zhaojiang Lin, Chien-Sheng Wu and Pascale Fung
Fine-Grained Spoiler Detection from Large-Scale Review Corpora
Mengting Wan, Rishabh Misra, Ndapa Nakashole and Julian McAuley
An Investigation of Transfer Learning-Based Sentiment Analysis in Japanese
Enkhbold Bataa and Joshua Wu
MAAM: A Morphology-Aware Alignment Model for Unsupervised Bilingual Lexicon Induction
Pengcheng Yang, Fuli Luo, Peng Chen, Tianyu Liu and Xu SUN
Better Character Language Modeling Through Morphology
Terra Blevins and Luke Zettlemoyer
Reading Turn by Turn: Hierarchical Attention Architecture for Spoken Dialogue Comprehension
Zhengyuan Liu and Nancy Chen
Data Programming for Learning Discourse Structure
Sonia Badene, Kate Thompson, Jean-Pierre Lorré and Nicholas Asher
Complex Word Identification as a Sequence Labelling Task
Sian Gooding and Ekaterina Kochmar
Annotation and automatic classification of aspectual categories
Markus Egg, Helena Prepens and Will Roberts
Probing Neural Network Comprehension of Natural Language Arguments
Timothy Niven and Hung-Yu Kao
Uncovering Probabilistic Implications in Typological Knowledge Bases
Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell and Isabelle Augenstein
Recognising Agreement and Disagreement between Stances with Reason Comparing Networks
Chang Xu, Cecile Paris, Surya Nepal and Ross Sparks
Sequence Labeling Parsing by Learning Across Representations
Michalina Strzyz, David Vilares and Carlos Gómez-Rodríguez
Confusionset-guided Pointer Networks for Chinese Spelling Check
Dingmin Wang, Yi Tay and Li Zhong
Historical Text Normalization with Delayed Rewards
Simon Flachs, Marcel Bollmann and Anders Søgaard
Multi-grained Attention with Object-level Grounding for Visual Question Answering
Pingping Huang, Jianhui Huang, Yuqing Guo, Min Qiao and Yong Zhu
Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions
Jierui Li, Lei Wang, Jipeng Zhang, Yan Wang, Bing Tian Dai and Dongxiang Zhang
Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing
Ben Bogin, Jonathan Berant and Matt Gardner
Analyzing the limitations of cross-lingual word embedding mappings
Aitor Ormazabal, Mikel Artetxe, Gorka Labaka, Aitor Soroa and Eneko Agirre
Large Dataset and Language Model Fun-Tuning for Humor Recognition
Vladislav Blinov, Valeria Bolotova-Baranova and Pavel Braslavski
A Working Memory Model for Task-oriented Dialog Response Generation
Xiuyi Chen, Jiaming Xu and Bo Xu
Towards Automating Healthcare Question Answering in a Noisy Multilingual Low-Resource Setting
Jeanne E. Daniel, Willie Brink, Ryan Eloff and Charles Copley
HEAD-QA: A Healthcare Dataset for Complex Reasoning
David Vilares and Carlos Gómez-Rodríguez
A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling
Haihong E, Peiqing Niu, Zhongfu Chen and Meina Song
Improving Open Information Extraction via Iterative Rank-Aware Learning
Zhengbao Jiang, Pengcheng Yin and Graham Neubig
Joint Entity Extraction and Assertion Detection for Clinical Text
Parminder Bhatia, Busra Celikkaya and Mohammed Khalilia
Neural News Recommendation with Topic-Aware News Representation
Chuhan Wu, Fangzhao Wu, Mingxiao An, Yongfeng Huang and Xing Xie
Revisiting Low-Resource Neural Machine Translation: A Case Study
Rico Sennrich and Biao Zhang
Putting words in context: LSTM language models and lexical ambiguity
Laura Aina, Kristina Gulordava and Gemma Boleda
Interpolated Spectral NGram Language Models
Ariadna Quattoni and Xavier Carreras
Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation
Xinyi Wang and Graham Neubig
Evaluating Discourse in Structured Text Representations
Elisa Ferracane, Greg Durrett, Junyi Jessy Li and Katrin Erk
Know What You Don't Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories
Sina Zarrieß and David Schlangen
Corpus-based Check-up for Thesaurus
Natalia Loukachevitch
Poetry to Prose Conversion in Sanskrit as a Linearisation Task: A case for Low-Resource Languages
Amrith Krishna, Vishnu Sharma, Bishal Santra, Aishik Chakraborty, Pavankumar Satuluri and Pawan Goyal
Self-Attention Architectures for Answer-Agnostic Neural Question Generation
Thomas Scialom, Benjamin Piwowarski and Jacopo Staiano
Toward Comprehensive Understanding of a Sentiment Based on Human Motives
Naoki Otani and Eduard Hovy
Human vs. Muppet: A Conservative Estimate of Human Performance on the GLUE Benchmark
Nikita Nangia and Samuel R. Bowman
Context-aware Embedding for Targeted Aspect-based Sentiment Analysis
Bin Liang, Jiachen Du, Ruifeng Xu, Binyang Li and Hejiao Huang
Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach
Zonghan Yang, Yong Cheng, Yang Liu and Maosong Sun
Towards Improving Neural Named Entity Recognition with Gazetteers
Tianyu Liu, Jin-Ge Yao and Chin-Yew Lin
Large-Scale Multi-Label Text Classification on EU Legislation
Ilias Chalkidis, Emmanouil Fergadiotis, Prodromos Malakasiotis and Ion Androutsopoulos
Celebrity Profiling
Matti Wiegmann, Benno Stein and Martin Potthast
Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation
Nima Pourdamghani, Nada Aldarrab, Marjan Ghazvininejad, Kevin Knight and Jonathan May
Compositional Semantic Parsing Across Graphbanks
Matthias Lindemann, Jonas Groschwitz and Alexander Koller
A2N: Attending to Neighbors for Knowledge Graph Inference
Trapit Bansal, Da-Cheng Juan, Sujith Ravi and Andrew McCallum
You Only Need Attention to Traverse Trees
Mahtab Ahmed, Muhammad Rifayat Samee and Robert E. Mercer
Studying Summarization Evaluation Metrics in the Appropriate Scoring Range
Maxime Peyrard
BAM! Born-Again Multi-Task Networks for Natural Language Understanding
Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, Christopher D. Manning and Quoc V. Le
Making Fast Graph-based Algorithms with Graph Metric Embeddings
Andrey Kutuzov, Mohammad Dorgham, Oleksiy Oliynyk, Chris Biemann and Alexander Panchenko
Is word segmentation child's play in all languages?
Georgia R. Loukatou, Steven Moran, Damian Blasi, Sabine Stoll and Alejandrina Cristia
Every child should have parents: a taxonomy refinement algorithm based on hyperbolic term embeddings
Rami Aly, Shantanu Acharya, Alexander Ossa, Arne Köhn, Chris Biemann and Alexander Panchenko
What does BERT learn about the structure of language?
Ganesh Jawahar, Benoît Sagot and Djamé Seddah
Neural Legal Judgment Prediction in English
Ilias Chalkidis, Ion Androutsopoulos and Nikolaos Aletras
Dual Supervised Learning for Natural Language Understanding and Generation
Shang-Yu Su, Chao-Wei Huang and Yun-Nung Chen
Yes, we can! Mining Arguments in 50 Years of US Presidential Campaign Debates
Shohreh Haddadan, Elena Cabrio and Serena Villata
Unsupervised Paraphrasing without Translation
Aurko Roy and David Grangier
Reversing Gradients in Adversarial Domain Adaptation for Question Deduplication and Textual Entailment Tasks
Anush Kamath, Sparsh Gupta and Vitor Carvalho
Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures
Amir Pouran Ben Veyseh, Thien Huu Nguyen and Dejing Dou
Training Hybrid Language Models by Marginalizing over Segmentations
Edouard Grave, Sainbayar Sukhbaatar, Piotr Bojanowski and Armand Joulin
Psycholinguistics meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering
Claudio Greco, Barbara Plank, Raquel Fernández and Raffaella Bernardi
On the distribution of deep clausal embeddings: a large cross-linguistic study
Damian Blasi, Ryan Cotterell, Lawrence Wolf-Sonkin, Sabine Stoll, Balthasar Bickel and Marco Baroni
Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings
Mikel Artetxe and Holger Schwenk
JW300: A Wide-Coverage Parallel Corpus for Low-Resource Languages
Željko Agić and Ivan Vulić
Embedding Imputation with Grounded Language Information
Ziyi Yang, Chenguang Zhu, Vin Sachidananda and Eric Darve
Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning
Tahira Naseem, Abhishek Shah, Hui Wan, Radu Florian, Salim Roukos and Miguel Ballesteros
Compositional Questions Do Not Necessitate Multi-hop Reasoning
Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi and Luke Zettlemoyer
Boosting Dialog Response Generation
Wenchao Du and Alan W Black
Embedding time expressions for deep temporal ordering models
Tanya Goyal and Greg Durrett
Learning to Rank for Plausible Plausibility
Zhongyang Li, Tongfei Chen and Benjamin Van Durme
Learning Emphasis Selection for Written Text in Visual Media from Crowd-Sourced Label Distributions
Amirreza Shirani, Franck Dernoncourt, Paul Asente, Nedim Lipka, Seokhwan Kim, Jose Echevarria and Thamar Solorio
SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking
Hwaran Lee, Jinsik Lee and Tae-Yoon Kim
Towards Integration of Statistical Hypothesis Tests into Deep Neural Networks
Ahmad Aghaebrahimian and Mark Cieliebak
Why Didn’t You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models
Varun Kumar, Alison Smith-Renner, Leah Findlater, Kevin Seppi and Jordan Boyd-Graber
Synthetic QA Corpora Generation with Roundtrip Consistency
Chris Alberti, Daniel Andor, Emily Pitler, Jacob Devlin and Michael Collins
Attention-based Conditioning Methods for External Knowledge Integration
Katerina Margatina, Christos Baziotis and Alexandros Potamianos
Generating Diverse Translations with Sentence Codes
Raphael Shu, Hideki Nakayama and Kyunghyun Cho
A Transparent Framework for Evaluating Unintended Demographic Bias in Word Embeddings
Chris Sweeney and Maryam Najafian
End-to-end Deep Reinforcement Learning Based Coreference Resolution
Hongliang Fei, Xu Li, Dingcheng Li and Ping Li
Exploring Phoneme-Level Speech Representations for End-to-End Speech Translation
Elizabeth Salesky, Matthias Sperber and Alan W Black
A Semi-Markov Structured Support Vector Machine Model for High-Precision Named Entity Recognition
Ravneet Arora, Chen-Tse Tsai, Ketevan Tsereteli, Prabhanjan Kambadur and Yi Yang
Robust Zero-Shot Cross-Domain Slot Filling with Example Values
Darsh Shah, Raghav Gupta, Amir Fayazi and Dilek Hakkani-Tur
Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification
Tu Vu and Mohit Iyyer
Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings
Linh The Nguyen, Linh Van Ngo, Khoat Than and Thien Huu Nguyen
Multimodal Abstractive Summarization for How2 Videos
Shruti Palaskar, Jindřich Libovický, Spandana Gella and Florian Metze
Rumor Detection By Exploiting User Credibility Information, Attention and Multi-task Learning
Quanzhi Li, Qiong Zhang and Luo Si
Deep Unknown Intent Detection with Margin Loss
Ting-En Lin and Hua Xu
A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation
Feng Nie, Jin-Ge Yao, Jinpeng Wang, Rong Pan and Chin-Yew Lin
Training Neural Machine Translation To Apply Terminology Constraints
Georgiana Dinu, Prashant Mathur, Marcello Federico and Yaser Al-Onaizan
BERT Rediscovers the Classical NLP Pipeline
Ian Tenney, Dipanjan Das and Ellie Pavlick
Exploiting Sentential Context for Neural Machine Translation
Xing Wang, Zhaopeng Tu, Longyue Wang and Shuming Shi
Multilingual Constituency Parsing with Self-Attention and Pre-Training
Nikita Kitaev, Steven Cao and Dan Klein
Simple Unsupervised Summarization by Contextual Matching
Jiawei Zhou and Alexander Rush
Women's Syntactic Resilience and Men's Grammatical Luck: Gender-Bias in Part-of-Speech Tagging and Dependency Parsing
Aparna Garimella, Carmen Banea, Dirk Hovy and Rada Mihalcea
Storyboarding of Recipes: Grounded Contextual Generation
Khyathi Chandu, Eric Nyberg and Alan W Black
Energy and Policy Considerations for Deep Learning in NLP
Emma Strubell, Ananya Ganesh and Andrew McCallum
Depth Growing for Neural Machine Translation
Lijun Wu, Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao QIN, Jianhuang Lai and Tie-Yan Liu
Effective Adversarial Regularization for Neural Machine Translation
Motoki Sato, Jun Suzuki and Shun Kiyono
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader
Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo and William Yang Wang
Span-Level Model for Relation Extraction
Kalpit Dixit and Yaser Al-Onaizan
Evaluating Gender Bias in Machine Translation
Gabriel Stanovsky, Noah A. Smith and Luke Zettlemoyer
Learning to Relate from Captions and Bounding Boxes
Sarthak Garg, Joel Ruben Antony Moniz, Anshu Aviral and Priyatham Bollimpalli
Attention Is (not) All You Need for Commonsense Reasoning
Tassilo Klein and Moin Nabi
How Multilingual is Multilingual BERT?
Telmo Pires, Eva Schlinger and Dan Garrette
Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference
Tobias Falke, Leonardo F. R. Ribeiro, Prasetya Ajie Utama, Ido Dagan and Iryna Gurevych
Dataset Creation for Ranking Constructive News Comments
Soichiro Fujita, Hayato Kobayashi and Manabu Okumura
Global Textual Relation Embedding for Relational Understanding
Zhiyu Chen, Hanwen Zha, Honglei Liu, Wenhu Chen, Xifeng Yan and Yu Su
Self-Supervised Learning for Contextualized Extractive Summarization
Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang and William Yang Wang
Unsupervised Joint Training of Bilingual Word Embeddings
Benjamin Marie and Atsushi Fujita
A Just and Comprehensive Strategy for Using NLP to Address Online Abuse
David Jurgens, Libby Hemphill and Eshwar Chandrasekharan
Towards Near-imperceptible Steganographic Text
Falcon Dai and Zheng Cai
Analyzing Linguistic Differences between Owner and Staff Attributed Tweets
Daniel Preoţiuc-Pietro and Rita Devlin Marier
AdaNSP: Uncertainty-driven Adaptive Decoding in Neural Semantic Parsing
Xiang Zhang, Shizhu He, Kang Liu and Jun Zhao
Cross-Domain Generalization of Neural Constituency Parsers
Daniel Fried, Nikita Kitaev and Dan Klein
Are Red Roses Red? Evaluating Consistency of Question-Answering Models
Marco Tulio Ribeiro, Carlos Guestrin and Sameer Singh
Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization
Paul Pu Liang, Zhun Liu, Yao-Hung Hubert Tsai, Qibin Zhao, Ruslan Salakhutdinov and Louis-Philippe Morency
Enhancing Air Quality Prediction with Social Media and Natural Language Processing
Jyun-Yu Jiang, Xue Sun, Wei Wang and Sean Young
Improving Visual Question Answering by Referring to Generated Paragraph Captions
Hyounghun Kim and Mohit Bansal
Putting Evaluation in Context: Contextual Embeddings improve Machine Translation Evaluation
Nitika Mathur, Timothy Baldwin and Trevor Cohn
Context-specific Language Modeling for Human Trafficking Detection from Online Advertisements
Saeideh Shahrokh Esfahani, Michael J. Cafarella, Maziyar Baran Pouyan, Gregory DeAngelo, Elena Eneva and Andy E. Fano
Leveraging Local and Global Patterns for Self-Attention Networks
Mingzhou Xu, Derek F. Wong, Baosong Yang, Yue Zhang and Lidia S. Chao
Implicit Discourse Relation Identification for Open-domain Dialogues
Mingyu Derek Ma, Kevin Bowden, Jiaqi Wu, Wen Cui and Marilyn Walker
Sentence-Level Agreement for Neural Machine Translation
Mingming Yang, Rui Wang, Kehai Chen, Masao Utiyama, eiichiro sumita, Min Zhang and Tiejun Zhao
Negative Lexically Constrained Decoding for Paraphrase Generation
Tomoyuki Kajiwara
Wetin dey with these comments? Modeling Sociolinguistic Factors Affecting Code-switching Behavior in Nigerian Online Discussions
Innocent Ndubuisi-Obi, Sayan Ghosh and David Jurgens
Towards Lossless Encoding of Sentences
Gabriele Prato, Mathieu Duchesneau, Sarath Chandar and Alain Tapp
A Corpus for Modeling User and Language Effects in Argumentation on Online Debating
Esin Durmus and Claire Cardie
The Effectiveness of Simple Hybrid Systems for Hypernym Discovery
William Held and Nizar Habash
Multilingual Unsupervised NMT using Shared Encoder and Language-Specific Decoders
Sukanta Sen, Kamal Kumar Gupta, Asif Ekbal and Pushpak Bhattacharyya
TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks
Guy Lev, Michal Shmueli-Scheuer, Jonathan Herzig, Achiya Jerbi and David Konopnicki
On the Summarization of Consumer Health Questions
Asma Ben Abacha and Dina Demner-Fushman
Exploring Author Context for Detecting Intended vs Perceived Sarcasm
Silviu Oprea and Walid Magdy
Simple and Effective Paraphrastic Similarity from Parallel Translations
John Wieting, Kevin Gimpel, Graham Neubig and Taylor Berg-Kirkpatrick
Bilingual Lexicon Induction through Unsupervised Machine Translation
Mikel Artetxe, Gorka Labaka and Eneko Agirre
A Surprisingly Robust Trick for the Winograd Schema Challenge
Vid Kocijan, Ana-Maria Cretu, Oana-Maria Camburu, Yordan Yordanov and Thomas Lukasiewicz
Large-Scale Transfer Learning for Natural Language Generation
Sergey Golovanov, Rauf Kurbanov, Sergey Nikolenko, Kyryl Truskovskyi, Alexander Tselousov and Thomas Wolf
Better OOV Translation with Bilingual Terminology Mining
Matthias Huck, Viktor Hangya and Alexander Fraser
A Prism Module for Semantic Disentanglement in Name Entity Recognition
Kun Liu, Shen Li, Daqi Zheng, Zhengdong Lu, Sheng Gao and Si Li
A Multi-Task Architecture on Relevance-based Neural Query Translation
Sheikh Muhammad Sarwar, Hamed Bonab and James Allan
Lattice-Based Transformer Encoder for Neural Machine Translation
Fengshun Xiao, Jiangtong Li, Hai Zhao, Rui Wang and Kehai Chen
BERT-based Lexical Substitution
Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei and Ming Zhou
An Empirical Study of Span Representations in Argumentation Structure Parsing
Tatsuki Kuribayashi, Hiroki Ouchi, Naoya Inoue, Paul Reisert, Toshinori Miyoshi, Jun Suzuki and Kentaro Inui
Collocation Classification with Unsupervised Relation Vectors
Luis Espinosa Anke, Steven Schockaert and Leo Wanner
We need to talk about standard splits
Kyle Gorman and Steven Bedrick
Generating Fluent Adversarial Examples for Natural Languages
Huangzhao Zhang, Hao Zhou, Ning Miao and Lei Li
Modeling Semantic Relationship in Multi-turn Conversations with Hierarchical Latent Variables
Lei Shen, Yang Feng and Haolan Zhan
Generating Summaries with Topic Templates and Structured Convolutional Decoders
Laura Perez-Beltrachini, Yang Liu and Mirella Lapata
Unsupervised Rewriter for Multi-Sentence Compression
Yang Zhao, Xiaoyu Shen, Wei Bi and Akiko Aizawa
Model-Agnostic Meta-Learning for Relation Classification with Limited Supervision
Abiola Obamuyide and Andreas Vlachos
Label-Agnostic Sequence Labeling by Copying Nearest Neighbors
Sam Wiseman and Karl Stratos
Rationally Reappraising ATIS-based Dialogue Systems
Jingcheng Niu and Gerald Penn
Automatic Grammatical Error Correction for Sequence-to-sequence Text Generation: An Empirical Study
Tao Ge, Xingxing Zhang, Furu Wei and Ming Zhou
Coreference Resolution with Entity Equalization
Ben Kantor and Amir Globerson
Simultaneous Translation with Flexible Policy via Restricted Imitation Learning
Baigong Zheng, Renjie Zheng, Mingbo Ma and Liang Huang
Twitter Homophily: Network Based Prediction of User's Occupation
Jiaqi Pan, Rishabh Bhardwaj, Wei Lu, Hai Leong Chieu, Xinghao Pan and Ni Yi Puay
Exploring Numeracy in Word Embeddings
Aakanksha Naik, Abhilasha Ravichander, Carolyn Rose and Eduard Hovy
MC^2: Multi-perspective Convolutional Cube for Conversational Machine Reading Comprehension
Xuanyu Zhang
Constructing Interpretive Spatio-Temporal Features for Multi-Turn Responses Selection
Junyu Lu, Chenbin Zhang, Zeying Xie, Guang Ling, Tom Chao Zhou and Zenglin Xu
System Demonstration Papers
Sakura: Large-scale Incorrect Example Retrieval System for Learners of Japanese as a Second Language
Mio Arai, Tomonori Kodaira and Mamoru Komachi
SLATE: A Super-Lightweight Annotation Tool for Experts
Jonathan K. Kummerfeld
lingvis.io - A Linguistic Visual Analytics Framework
Mennatallah El-Assady, Wolfgang Jentner, Fabian Sperrle, Rita Sevastjanova, Annette Hautli-Janisz, Miriam Butt and Daniel Keim
SARAL: A Low-Resource Cross-Lingual Domain-Focused Information Retrieval System for Effective Rapid Document Triage
Elizabeth Boschee, Joel Barry, Jayadev Billa, Marjorie Freedman, Thamme Gowda, Constantine Lignos, Chester Palen-Michel, Michael Pust, Banriskhem Kayang Khonglah, Srikanth Madikeri, Jonathan May and Scott Miller
Jiuge: A Human-Machine Cooperative Chinese Classical Poetry Generation System
Guo Zhipeng, Xiaoyuan Yi, Maosong Sun, Wenhao Li, Cheng Yang, Jiannan Liang, Huimin Chen, Yuhui Zhang and Ruoyu Li
Rapid Customization for Event Extraction
Yee Seng Chan, Joshua Fasching, Haoling Qiu and Bonan Min
A Multiscale Visualization of Attention in the Transformer Model
Jesse Vig
PostAc : A Visual Interactive Search, Exploration, and Analysis Platform for PhD Intensive Job Postings
Chenchen Xu, Inger Mewburn, Will J Grant and Hanna Suominen
An adaptable task-oriented dialog system for stand-alone embedded devices
Long Duong, Vu Cong Duy Hoang, Tuyen Quang Pham, Yu-Heng Hong, Vladislavs Dovgalecs, Guy Bashkansky, Jason Black, Andrew Bleeker, Serge Le Huitouze and Mark Johnson
AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging
Bill Yuchen Lin, Dong-Ho Lee, Frank F. Xu, Ouyu Lan and Xiang Ren
ConvLab: Multi-Domain End-to-End Dialog System Platform
Sungjin Lee, Qi Zhu, Ryuichi Takanobu, Xiang Li, Yaoqin Zhang, Zheng Zhang, Jinchao Li, Baolin Peng, Xiujun Li, Minlie Huang and Jianfeng Gao
Demonstration of a Neural Machine Translation System with Online Learning for Translators
Miguel Domingo, Mercedes García-Martínez, Amando Estela Pastor, Laurent Bié, Alexander Helle, Álvaro Peris, Francisco Casacuberta and Manuel Herranz Pérez
FASTDial: Abstracting Dialogue Policies for Fast Development of Task Oriented Agents
Serra Sinem Tekiroglu, Bernardo Magnini and Marco Guerini
A Neural, Interactive-predictive System for Multimodal Sequence to Sequence Tasks
Álvaro Peris and Francisco Casacuberta
NeuralClassifier: An Open-source Neural Hierarchical Multi-label Text Classification Toolkit
Liqun Liu, Funan Mu, Pengyu Li, Xin Mu, Jing Tang, Xingsheng Ai, Ran Fu, Lifeng Wang and Xing Zhou
ADVISER: A Dialog System Framework for Education & Research
Daniel Ortega, Dirk Väth, Gianna Weber, Lindsey Vanderlyn, Maximilian Schmidt, Moritz Völkel, Zorica Karacevic and Ngoc Thang Vu
KCAT: A Knowledge-Constraint Typing Annotation Tool
Sheng Lin, Luye Zheng, Bo Chen, Siliang Tang, Zhigang Chen, Guoping Hu, Yueting Zhuang, Fei Wu and Xiang Ren
An Environment for the Relational Annotation of Political Debates
Andre Blessing, Nico Blokker, Sebastian Haunss, Jonas Kuhn, Gabriella Lapesa and Sebastian Padó
GLTR: Statistical Detection and Visualization of Generated Text
Sebastian Gehrmann, Hendrik Strobelt and Alexander Rush
OpenKiwi: An Open Source Framework for Quality Estimation
Fabio Kepler, Jonay Trenous, Marcos Treviso, Miguel Vera and André F. T. Martins
Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling
Vighnesh Leonardo Shiv, Chris Quirk, Anshuman Suri, Xiang Gao, Khuram Shahid, Nithya Govindarajan, Yizhe Zhang, Jianfeng Gao, Michel Galley, Chris Brockett, Tulasi Menon and Bill Dolan
PerspectroScope: A Window to the World of Diverse Perspectives
Sihao Chen, Daniel Khashabi, Chris Callison- Burch and Dan Roth
HEIDL: Learning Linguistic Expressions with Deep Learning and Human-in-the- Loop
Prithviraj Sen, Yunyao Li, Eser Kandogan, Yiwei Yang and Walter Lasecki
My Turn To Read: An Interleaved E-book Reading Tool for Developing and Struggling Readers
Nitin Madnani, Beata Beigman Klebanov, Anastassia Loukina, Binod Gyawali, John Sabatini, Patrick Lange, Michael Flor
GrapAL: Connecting the Dots in Scientific Literature
Christine Betts, Joanna Power and Waleed Ammar
ClaimPortal: Integrated Monitoring, Searching, Checking, and Analytics of Factual Claims on Twitter
Sarthak Majithia, Fatma Arslan, Sumeet Lubal, Damian Jimenez, Priyank Arora, Josue Caraballo and Chengkai Li
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation
Zhiting Hu, Haoran Shi, Bowen Tan, Wentao Wang, Zichao Yang, Tiancheng Zhao, Junxian He, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wanrong Zhu, Devendra Sachan and Eric Xing
Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae
Piero Molino, Yang Wang and Jiawei Zhang
Flambé: A Customizable Framework for Multistage Natural Language Processing Experiments
Jeremy Wohlwend, Nicholas Matthews and Ivan Itzcovich
A Modular Tool for Automatic Summarization
Valentin Nyzam and Aurélien Bossard
TARGER: Neural Argument Mining at Your Fingertips
Artem Chernodub, Oleksiy Oliynyk, Philipp Heidenreich, Alexander Bondarenko, Matthias Hagen, Chris Biemann and Alexander Panchenko
MoNoise: A Multi-lingual and Easy-to-use Lexical Normalization Tool
Rob van der Goot
Level-Up: Learning to Improve Proficiency Level of Essays
Wen-Bin Han, Jhih-Jie Chen, Chingyu Yang and Jason Chang
Learning to Link Grammar and Encyclopedic Information of Assist ESL Learners
Jhih-Jie Chen, Chingyu Yang, Peichen Ho, Ming Chiao Tsai, Chia-Fang Ho, Kai-Wen Tuan, Chung- Ting Tsai, Wen-Bin Han and Jason Chang
Student Research Workshop Papers
A computational linguistic study of personal recovery in bipolar disorder
Glorianna Jagfeld
A Japanese Word Segmentation Proposal
Stalin Aguirre and Josafá Aguiar
A Strong and Robust Baseline for Text-Image Matching
Fangyu Liu and Rongtian Ye
Active Reading Comprehension: A dataset for learning the Question-Answer Relationship strategy
Diana Galvan
Analyzing and Mitigating Gender Bias in Languages with Grammatical Gender and Bilingual Word Embeddings
Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen and Kai-Wei Chang
Annotating and Analyzing Semantic Role of Elementary Units and Relations in Online Persuasive Arguments
Ryo Egawa, Gaku Morio and Katsuhide Fujita
ARHNet - Leveraging Community Interaction For Detection Of Religious Hate Speech In Arabic
Arijit Ghosh Chowdhury, Aniket Didolkar, Ramit Sawhney and Rajiv Ratn Shah
Attention and Lexicon Regularized LSTM for Aspcet-based Sentiment Analysis
Lingxian Bao, Patrik Lambert and Toni Badia
Attention over Heads: A Multi-Hop Attention for Neural Machine Translation
Shohei Iida, Ryuichiro Kimura, Hongyi Cui, Po-Hsuan Hung, Takehito Utsuro and Masaaki Nagata
Automated Cross-language Intelligibility Analysis of Parkinson's Disease Patients Using Speech Recognition Technologies
Nina Hosseini-Kivanani, Juan Camilo Vásquez-Correa, Manfred Stede and Elmar Nöth
Automatic Data-Driven Approaches for Evaluating the Phonemic Verbal Fluency Task with Healthy Adults
Hali Lindsay, Nicklas Linz and Johannes Tröger
Automatic Generation of Personalized Comment Based on User Profile
Wenhuan Zeng, Abulikemu Abuduweili, Lei Li and Pengcheng Yang
BREAKING! Presenting fake news corpus for automated fact checking
Archita Pathak and Rohini Srihari
Computational ad hominem detection
Pieter Delobelle, Murilo Cunha, Eric Massip Cano, Jeroen Peperkamp and Bettina Berendt
Controllable Text Simplification with Lexical Constraint Loss
Daiki Nishihara, Tomoyuki Kajiwara and Yuki Arase
Controlling Grammatical Error Correction Using Word Edit Rate
Kengo Hotate, Masahiro Kaneko, Satoru Katsumata and Mamoru Komachi
Convolutional Neural Networks for Financial Text Regression
Neşat Dereli and Murat Saraclar
Corpus Creation and Analysis for Named Entity Recognition in Telugu-English Code-Mixed Social Media Data
Vamshi Krishna Srirangam, Appidi Abhinav Reddy, Vinay Singh and Manish Shrivastava
Corpus Creation and Baseline System for Aggression Detection in Telugu-English Code-Mixed Social Media Data
Koushik Reddy Sane, Sushmitha Reddy Sane, Sairam Kolla and Radhika Mamidi
Cross-domain and Cross-lingual Abusive Language Detection: a Hybrid Approach with Deep Learning and a Multilingual Lexicon
Endang Wahyu Pamungkas and Viviana Patti
De-Mixing Sentiment from Code-Mixed Text
Yash Kumar Lal, Vaibhav Kumar, Mrinal Dhar, Manish Shrivastava and Philipp Koehn
Deep Neural Models for Medical Concept Normalization in User-Generated Texts
Zulfat Miftahutdinov and Elena Tutubalina
Detecting Political Bias in News Articles Using Headline Attention
Rama Rohit Reddy Gangula, Suma Reddy Duggenpudi and Radhika Mamidi
Developing OntoSenseNet: A Verb-Centric Ontological Resource for Indian Languages and Analysing Stylometric Difference in Men and Women Writing using the Resource
Jyoti Jha and Navjyoti Singh
Dialogue-Act Prediction of Future Responses based on Conversation History
Koji Tanaka, Junya Takayama and Yuki Arase
Distributed Knowledge Based Clinical Auto-Coding System
Rajvir Kaur
Embedding Strategies for Specialized Domains: Application to Clinical Entity Recognition
Hicham El Boukkouri, Olivier Ferret, Thomas Lavergne and Pierre Zweigenbaum
English-Indonesian Neural Machine Translation for Spoken Language Domains
Meisyarah Dwiastuti
Enriching Neural Models with Targeted Features for Dementia Detection
Flavio Di Palo and Natalie Parde
Exploring the potential of Neural Networks for Extracting Adverse Drug Reactions from Biomedical Texts
Ilseyar Alimova and Elena Tutubalina
Fact or Factitious? Contextualized Opinion Spam Detection
Stefan Kennedy, Niall Walsh, Kirils Sloka, Andrew McCarren and Jennifer Foster
From Bilingual to Multilingual Neural Machine Translation by Incremental Training
Carlos Escolano, Marta R. Costa-jussà and José A. R. Fonollosa
From brain space to distributional space: the perilous journeys of fMRI decoding
Gosse Minnema and Aurélie Herbelot
Gender Stereotypes Differ between Male and Female Writings
Yusu Qian
Hierarchical Multi-label Classification of Text with Capsule Networks
Rami Aly, Steffen Remus and Chris Biemann
Imperceptible Adversarial Examples for Automatic Speech Recognition
Yao Qin
Improving Mongolian-Chinese Neural Machine Translation with Morphological Noise
Yatu Ji, Hongxu Hou, Chen Junjie and Nier Wu
Improving Neural Entity Disambiguation with Graph Embeddings
Özge Sevgili, Alexander Panchenko and Chris Biemann
Incorporating Textual Information on User Behavior for Personality Prediction
Kosuke Yamada, Ryohei Sasano and Koichi Takeda
Investigating Political Herd Mentality: A Community Sentiment based Approach
Anjali Bhavan, Rohan Mishra, Pradyumna Prakhar Sinha, Ramit Sawhney and Rajiv Ratn Shah
Joint Learning of Named Entity Recognition and Entity Linking
Pedro Henrique Martins, Zita Marinho and André F. T. Martins
Knowledge discovery and hypothesis generation from online patient forums: A research proposal
Anne Dirkson
Long-Distance Dependencies don't have to be Long: Simplifying through Provably (Approximately) Optimal Permutations
Rishi Bommasani
Māori Loanwords: A Corpus of New Zealand English Tweets
David Trye, Andreea Calude, Felipe Bravo-Marquez and Te Taka Keegan
Measuring the Value of Linguistics: A Case Study from St. Lawrence Island Yupik
Emily Chen
Multilingual model using cross-task embedding projection
Jin Sakuma and Naoki Yoshinaga
Multimodal Logical Inference System for Visual-Textual Entailment
Riko Suzuki, Hitomi Yanaka, Masashi Yoshikawa, Koji Mineshima and Daisuke Bekki
Multiple Character Embeddings for Chinese Word Segmentation
Jianing Zhou, Jingkang Wang and Gongshen Liu
Natural Language Generation: Recently Learned Lessons, Directions for Semantic Representation-based Approaches, and the case of Brazilian Portuguese Language
Marco Antonio Sobrevilla Cabezudo and Thiago Pardo
Normalizing Non-canonical Turkish Texts Using Machine Translation Approaches
Talha Çolakoğlu, Umut Sulubacak and Ahmet Cüneyd Tantuğ
Not All Reviews are Equal: Towards Addressing Reviewer Biases for Opinion Summarization
Wenyi Tay
On Dimensional Linguistic Properties of the Word Embedding Space
Vikas Raunak, Vaibhav Kumar, Vivek Gupta and Florian Metze
On the impressive performance of randomly weighted encoders in summarization tasks
Jonathan Pilault, Jaehong Park and Christopher Pal
Paraphrases as Foreign Languages in Multilingual Neural Machine Translation
Zhong Zhou, Matthias Sperber and Alexander Waibel
Predicting the Outcome of Deliberative Democracy: A Research Proposal
Conor McKillop
Public Mood Variations in Russia based on Vkontakte Content
Sergey Smetanin
Question Answering in the Biomedical Domain
Vincent Nguyen
Ranking of Potential Questions
Luise Schricker and Tatjana Scheffler
Reducing Gender Bias in Word-Level Language Models with A Gender-Equalizing Loss Function
Yusu Qian, Urwa Muaz, Ben Zhang and Jae Won Hyun
Robust to Noise Models in Natural Language Processing Tasks
Valentin Malykh
Scheduled Sampling for Transformers
Tsvetomila Mihaylova and André F. T. Martins
Sentence Level Curriculum Learning for Improved Neural Conversational Models
Sean Paulsen
Sentiment Analysis on Naija-Tweets
Taiwo Kolajo, Olawande Daramola and Ayodele Adebiyi
Sentiment Classification using Document Embeddings trained with Cosine Similarity
Tan Thongtan and Tanasanee Phienthrakul
STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence Embeddings
Léo Bouscarrat, Antoine Bonnefoy, Thomas Peel and Cécile Pereira
Towards incremental learning of word embeddings using context informativeness
Alexandre Kabbach, Kristina Gulordava and Aurélie Herbelot
Towards Turkish Abstract Meaning Representation
Zahra Azin and Gülşen Eryiğit
Transfer Learning Based Free-Form Speech Command Classification for Low-Resource Languages
Yohan Karunanayake, Uthayasanker Thayasivam and Surangika Ranathunga
Unsupervised Learning of Discourse-Aware Text Representation for Essay Scoring
Farjana Sultana Mim, Naoya Inoue, Paul Reisert, Hiroki Ouchi and Kentaro Inui
Unsupervised Pretraining for Neural Machine Translation Using Elastic Weight Consolidation
Dušan Variš and Ondřej Bojar
Using Semantic Similarity as Reward for Reinforcement Learning in Sentence Generation
Go Yasui, Yoshimasa Tsuruoka and Masaaki Nagata
Invited Talks
- Invited Talk 01 - 07/30 09:00-10:00: "Simultaneous Translation: Recent Advances and Remaining Challenges" by Liang Huang
- Invited Talk 02 - 07/31 09:00-10:00: "Loquentes Machinae: Technical Approaches, Applications and Ethical Issues of Conversational Systems" by Pascale Fung
Simultaneous Translation: Recent Advances and Remaining Challenges
Liang Huang
Principal Scientist and Head
Institute of Deep Learning USA (IDL-US)
Baidu Research, Sunnyvale, CA, USA
Assistant Professor (on leave)
School of EECS
Oregon State University, Corvallis, OR, USA
Abstract
Simultaneous interpretation (i.e., translating concurrently with the source language speech) is widely used in many scenarios including multilateral organizations (UN/EU), international summits (APEC/G-20), legal proceedings, and press conferences. However, it is well known to be one of the most challenging tasks for humans due to the simultaneous perception and production in two languages. As a result, there are only a few thousand professional simultaneous interpreters world-wide, and each of them can only sustain for 15-30 minutes in each turn. On the other hand, simultaneous translation (either speech-to-text or speech-to-speech) is also notoriously difficult for machines and has remained one of the holy grails of AI. A key challenge here is the word order difference between the source and target languages. For example, if you simultaneously translate German (an SOV language) to English (an SVO language), you often have to wait for the sentence-final German verb. Therefore, most existing "real-time" translation systems resort to conventional full-sentence translation, causing an undesirable latency of at least one sentence, rendering the audience largely out of sync with the speaker. There have been efforts towards genuine simultaneous translation, but with limited success.
Recently, at Baidu Research, we discovered a much simpler and surprisingly effective approach to simultaneous (speech-to-text) translation by designing a "prefix-to-prefix" framework tailed to simultaneity requirements. This is in contrast with the "sequence-to-sequence" framework which assumes the availability of the full input sentence. Our approach results in the first simultaneous translation system that achieves reasonable translation quality with controllable latency. Our technique has been successfully deployed to simultaneously translate Chinese speeches into English subtitles at the 2018 Baidu World Conference, and has been demoed live at NeuIPS 2018 Expo Day.
Inspired by the success of this very simple approach, we have extended it to produce more flexible translation strategies. Our work has also generated renewed interest in this long-standing problem in the CL community; for instance, two recent papers from Google proposed interesting improvements based on our ideas. Time permitting, I will also discuss our efforts towards the ultimate goal of simultaneous speech-to-speech translation, and conclude with a list of remaining challenges.
See demos, media coverage, and more info at: https://simultrans-demo.github.io/
Bio
Liang Huang is Principal Scientist and Head of Institute of Deep Learning USA (IDL-US) at Baidu Research and Assistant Professor (on leave) at Oregon State University.
He received his PhD from the University of Pennsylvania in 2008 and BS from Shanghai Jiao Tong University in 2003. He was previously a research scientist at Google, a research assistant professor at USC/ISI, an assistant professor at CUNY, a part-time research scientist at IBM. His research is in the theoretical aspects of computational linguistics.
Many of his efficient algorithms in parsing, translation, and structured prediction have become standards in the field, for which he received a Best Paper Award at ACL 2008, a Best Paper Honorable Mention at EMNLP 2016, and several best paper nominations (ACL 2007, EMNLP 2008, ACL 2010, and SIGMOD 2018). He is also a computational biologist where he adapts his parsing algorithms to RNA and protein folding. He is an award-winning teacher and a best-selling author. His work has garnered widespread media attention including Fortune, CNBC, IEEE Spectrum, and MIT Technology Review.
Loquentes Machinae: Technology, Applications, and Ethics of Conversational Systems
Pascale Fung
Abstract
From HAL in “2001:Space Odyssey” to Samantha in “Her”, conversational systems have always captured the public’s imagination as the ultimate intelligent machine. The famous Turing Test was designed to determine whether a machine “thinks” like human or not, based on natural conversation between human and a machine. With the advent of smart devices, conversational systems are suddenly everywhere, talking and responding to us from our phones, speakers, cars and call centers. Meanwhile, the public is also becoming increasingly concerned about privacy and security issues of these systems.
In the decades since the first DARPA Communicator project, conversational systems come in many different forms. Whereas research systems are predominantly based on deep learning approaches today, most of the commercial systems from the US and Asia are still using template-based and retrieval-based approaches.
Recent advances in such systems include endowing them with the ability to (1) learn to memorize; (2) learn to personalize; and (3) learn to empathize. In all aspects of R&D in this area, we encounter the challenge of a lack of well-balanced and well-labeled data. Hence, multi-task and meta-learning have been proposed as possible solutions.
In this talk, I will give an overview of some of the technical challenges, approaches and applications of conversational systems, and the debates on ethical issues surrounding them. I will also highlight some of the cultural differences in this area and discuss how we can collaborate internationally to build conversational systems that are secure, safe, and fair for all.
Bio
Pascale Fung is a Professor in the Department of Electronic & Computer Engineering and the Department of Computer Science & Engineering at the Hong Kong University of Science & Technology(HKUST).
She is the Director of the multidisciplinary Centre for AI Research (CAiRE) at HKUST, to promote R&D in beneficial and human-centered AI. She is an elected Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and an elected Fellow of the International Speech Communication Association (ISCA) for her contributions to the interdisciplinary area of spoken language human-machine interactions.
She co-founded the Human Language Technology Center (HLTC) and is an affiliated faculty with the Robotics Institute and the Big Data Institute, both at HKUST. She is a past president and current board member of ACL SIGDAT, and past technical program chair of ACL and EMNLP conferences. She was Editor for Computer Speech and Language, Associate Editor for the IEEE/ACM Transactions on Audio, Speech and Language Processing and the Transactions on Association for Computational Linguistics. She was Technical Program Chair for IEEE ICASSP 2018 and will be TPC again in 2020 and 2024.
Fung's work has always been focused on building intelligent systems that can understand and empathize with humans. Her specific areas of research are using statistical modelling and deep learning for natural language processing, spoken language systems, emotion and sentiment recognition. Pascale Fung has applied many of her research group's results in the fields of, among others, robotics, IoT, and financial analytics. Her efforts led to the launch of the world's first Chinese natural language search engine in 2001, the first Chinese virtual assistant for smartphones in 2010, and the first emotional intelligent speaker in 2017.
Pascale Fung is a faculty expert for the World Economic Forum, and is a member of the Partnership on AI for the Benefit of Humanity and Society. She has been invited as an AI expert to different government initiatives in China, Japan, the UAE, India, the European Union and the United Nations. She has spoken extensively on using AI for public good and on the need for international collaborations in this area.