Table of Contents

• Frontmatter [doi]
• Privacy-preserving Neural Representations of TextMaximin Coavoux, Shashi Narayan, Shay B. Cohen. 1-10 [doi]
• Adversarial Removal of Demographic Attributes from Text DataYanai Elazar, Yoav Goldberg. 11-21 [doi]
• DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep LearningKashyap Popat, Subhabrata Mukherjee, Andrew Yates, Gerhard Weikum. 22-32 [doi]
• It's going to be okay: Measuring Access to Support in Online CommunitiesZijian Wang, David Jurgens. 33-45 [doi]
• Detecting Gang-Involved Escalation on Social Media Using ContextSerina Chang, Ruiqi Zhong, Ethan Adams, Fei-Tzin Lee, Siddharth Varia, Desmond Patton, William R. Frey, Chris Kedzie, Kathy McKeown. 46-56 [doi]
• Reasoning about Actions and State Changes by Injecting Commonsense KnowledgeNiket Tandon, Bhavana Dalvi, Joel Grus, Wen-tau Yih, Antoine Bosselut, Peter Clark. 57-66 [doi]
• Collecting Diverse Natural Language Inference Problems for Sentence Representation EvaluationAdam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, Benjamin Van Durme. 67-81 [doi]
• Textual Analogy Parsing: What's Shared and What's Compared among Analogous FactsMatthew Lamm, Arun Tejasvi Chaganty, Christopher D. Manning, Dan Jurafsky, Percy Liang. 82-92 [doi]
• SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense InferenceRowan Zellers, Yonatan Bisk, Roy Schwartz, Yejin Choi. 93-104 [doi]
• TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim VerificationWenpeng Yin 0001, Dan Roth. 105-114 [doi]
• Associative Multichannel Autoencoder for Multimodal Word RepresentationShaonan Wang, Jiajun Zhang, Chengqing Zong. 115-124 [doi]
• Game-Based Video-Context DialogueRamakanth Pasunuru, Mohit Bansal. 125-136 [doi]
• simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image CaptionsFenglin Liu, Xuancheng Ren, Yuanxin Liu, Houfeng Wang, Xu Sun 0001. 137-149 [doi]
• Multimodal Language Analysis with Recurrent Multistage FusionPaul Pu Liang, Ziyin Liu, AmirAli Bagher Zadeh, Louis-Philippe Morency. 150-161 [doi]
• Temporally Grounding Natural Sentence in VideoJingyuan Chen, Xinpeng Chen, Lin Ma, Zequn Jie, Tat-Seng Chua. 162-171 [doi]
• PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference ResolutionHong Chen, Zhenhua Fan, Hao Lu, Alan L. Yuille, Shu Rong. 172-181 [doi]
• Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention MechanismPengfei Cao, Yubo Chen 0001, Kang Liu 0001, Jun Zhao 0001, Shengping Liu. 182-192 [doi]
• Using Linguistic Features to Improve the Generalization Capability of Neural Coreference ResolversNafise Sadat Moosavi, Michael Strube 0001. 193-203 [doi]
• Neural Segmental Hypergraphs for Overlapping Mention RecognitionBailin Wang, Wei Lu. 204-214 [doi]
• Variational Sequential Labelers for Semi-Supervised LearningMingda Chen, Qingming Tang, Karen Livescu, Kevin Gimpel. 215-226 [doi]
• Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant SupervisionYixin Cao 0002, Lei Hou, Juanzi Li, Zhiyuan Liu 0001, Chengjiang Li, Xu Chen, Tiansi Dong. 227-237 [doi]
• Deep Pivot-Based Modeling for Cross-language Cross-domain Transfer with Minimal GuidanceYftah Ziser, Roi Reichart. 238-249 [doi]
• Multi-lingual Common Semantic Space Construction via Cluster-Consistent Word EmbeddingLifu Huang, KyungHyun Cho, Boliang Zhang, Heng Ji, Kevin Knight. 250-260 [doi]
• Unsupervised Multilingual Word EmbeddingsXilun Chen, Claire Cardie. 261-270 [doi]
• CLUSE: Cross-Lingual Unsupervised Sense EmbeddingsTa-Chung Chi, Yun-Nung Chen. 271-281 [doi]
• Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector SpecializationEdoardo Maria Ponti, Ivan Vulic, Goran Glavas, Nikola Mrksic, Anna Korhonen. 282-293 [doi]
• Improving Cross-Lingual Word Embeddings by Meeting in the MiddleYerai Doval, José Camacho-Collados, Luis Espinosa Anke, Steven Schockaert. 294-304 [doi]
• WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and DiscourseManaal Faruqui, Ellie Pavlick, Ian Tenney, Dipanjan Das 0001. 305-315 [doi]
• On the Relation between Linguistic Typology and (Limitations of) Multilingual Language ModelingDaniela Gerz, Ivan Vulic, Edoardo Maria Ponti, Roi Reichart, Anna Korhonen. 316-327 [doi]
• A Fast, Compact, Accurate Model for Language Identification of Codemixed TextYuan Zhang, Jason Riesa, Daniel Gillick, Anton Bakalov, Jason Baldridge, David Weiss. 328-337 [doi]
• Personalized Microblog Sentiment Classification via Adversarial Cross-lingual Multi-task LearningWeichao Wang, Shi Feng, Wei Gao 0001, Daling Wang, Yifei Zhang. 338-348 [doi]
• Cross-lingual Knowledge Graph Alignment via Graph Convolutional NetworksZhichun Wang, Qingsong Lv, Xiaohan Lan, Yu Zhang. 349-357 [doi]
• Cross-lingual Lexical Sememe PredictionFanchao Qi, Yankai Lin, Maosong Sun, Hao Zhu, Ruobing Xie, Zhiyuan Liu 0001. 358-368 [doi]
• Neural Cross-lingual Named Entity Recognition with Minimal ResourcesJiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, Jaime G. Carbonell. 369-379 [doi]
• A Stable and Effective Learning Strategy for Trainable Greedy DecodingYun Chen, Victor O. K. Li, KyungHyun Cho, Samuel R. Bowman. 380-390 [doi]
• Addressing Troublesome Words in Neural Machine TranslationYang Zhao, Jiajun Zhang, Zhongjun He, Chengqing Zong, Hua Wu 0003. 391-400 [doi]
• Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and ParsingJetic Gu, Hassan S. Shavarani, Anoop Sarkar. 401-413 [doi]
• XL-NBT: A Cross-lingual Neural Belief Tracking FrameworkWenhu Chen, Jianshu Chen, Yu Su 0001, Xin Wang, Dong Yu, Xifeng Yan, William Yang Wang. 414-424 [doi]
• Contextual Parameter Generation for Universal Neural Machine TranslationEmmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, Tom M. Mitchell. 425-435 [doi]
• Back-Translation Sampling by Targeting Difficult Words in Neural Machine TranslationMarzieh Fadaee, Christof Monz. 436-446 [doi]
• Multi-Domain Neural Machine Translation with Word-Level Domain Context DiscriminationJiali Zeng, Jinsong Su, Huating Wen, Yang Liu, Jun Xie, Yongjing Yin, Jianqiang Zhao. 447-457 [doi]
• A Discriminative Latent-Variable Model for Bilingual Lexicon InductionSebastian Ruder, Ryan Cotterell, Yova Kementchedjhieva, Anders Søgaard. 458-468 [doi]
• Non-Adversarial Unsupervised Word TranslationYedid Hoshen, Lior Wolf. 469-478 [doi]
• Semi-Autoregressive Neural Machine TranslationChunqi Wang, Ji Zhang, Haiqing Chen. 479-488 [doi]
• Understanding Back-Translation at ScaleSergey Edunov, Myle Ott, Michael Auli, David Grangier. 489-500 [doi]
• Bootstrapping Transliteration with Guided Discovery for Low-Resource LanguagesShyam Upadhyay, Jordan Kodner, Dan Roth. 501-511 [doi]
• NORMA: Neighborhood Sensitive Maps for Multilingual Word EmbeddingsNdapa Nakashole. 512-522 [doi]
• Adaptive Multi-pass Decoder for Neural Machine TranslationXinwei Geng, Xiaocheng Feng, Bing Qin 0001, Ting Liu. 523-532 [doi]
• Improving the Transformer Translation Model with Document-Level ContextJiacheng Zhang, Huanbo Luan, Maosong Sun, Feifei Zhai, Jingfang Xu, Min Zhang, Yang Liu 0005. 533-542 [doi]
• MTNT: A Testbed for Machine Translation of Noisy TextPaul Michel, Graham Neubig. 543-553 [doi]
• SimpleQuestions Nearly Solved: A New Upperbound and Baseline ApproachMichael Petrochuk, Luke Zettlemoyer. 554-558 [doi]
• Phrase-Indexed Question Answering: A New Challenge for Scalable Document ComprehensionMin Joon Seo, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi. 559-564 [doi]
• Ranking Paragraphs for Improving Answer Recall in Open-Domain Question AnsweringJinhyuk Lee, Seongjun Yun, Hyunjae Kim, Miyoung Ko, Jaewoo Kang. 565-569 [doi]
• Cut to the Chase: A Context Zoom-in Network for Reading ComprehensionSathish Reddy Indurthi, Seunghak Yu, Seohyun Back, Heriberto Cuayáhuitl. 570-575 [doi]
• Adaptive Document Retrieval for Deep Question AnsweringBernhard Kratzwald, Stefan Feuerriegel. 576-581 [doi]
• Why is unsupervised alignment of English embeddings from different algorithms so hard?Mareike Hartmann, Yova Kementchedjhieva, Anders Søgaard. 582-586 [doi]
• Quantifying Context Overlap for Training Word EmbeddingsYimeng Zhuang, Jinghui Xie, Yinhe Zheng, Xuan Zhu. 587-593 [doi]
• Neural Latent Relational Analysis to Capture Lexical Semantic Relations in a Vector SpaceKoki Washio, Tsuneaki Kato. 594-600 [doi]
• Generalizing Word Embeddings using Bag of SubwordsJinman Zhao, Sidharth Mudgal, Yingyu Liang. 601-606 [doi]
• Neural Metaphor Detection in ContextGe Gao, Eunsol Choi, Yejin Choi, Luke Zettlemoyer. 607-613 [doi]
• Distant Supervision from Disparate Sources for Low-Resource Part-of-Speech TaggingBarbara Plank, Zeljko Agic. 614-620 [doi]
• Unsupervised Bilingual Lexicon Induction via Latent Variable ModelsZi-Yi Dou, Zhi-Hao Zhou, Shujian Huang. 621-626 [doi]
• Learning Unsupervised Word Translations Without AdversariesTanmoy Mukherjee, Makoto Yamada, Timothy M. Hospedales. 627-632 [doi]
• Adversarial Training for Multi-task and Multi-lingual Joint Modeling of Utterance Intent ClassificationRyo Masumura, Yusuke Shinohara, Ryuichiro Higashinaka, Yushi Aono. 633-639 [doi]
• Surprisingly Easy Hard-Attention for Sequence to Sequence LearningShiv Shankar, Siddhant Garg, Sunita Sarawagi. 640-645 [doi]
• Joint Learning for Emotion Classification and Emotion Cause DetectionYing Chen, Wenjun Hou, Xiyao Cheng, Shoushan Li. 646-651 [doi]
• Exploring Optimism and Pessimism in Twitter Using Deep LearningCornelia Caragea, Liviu P. Dinu, Bogdan Dumitru. 652-658 [doi]
• Predicting News Headline Popularity with Syntactic and Semantic Knowledge Using Multi-Task LearningSotiris Lamprinidis, Daniel Hardt, Dirk Hovy. 659-664 [doi]
• Hybrid Neural Attention for Agreement/Disagreement Inference in Online DebatesDi Chen, Jiachen Du, Lidong Bing, Ruifeng Xu. 665-670 [doi]
• Improving Author Attribute Prediction by Retrofitting Linguistic Representations with HomophilyDirk Hovy, Tommaso Fornaciari. 671-677 [doi]
• A Syntactically Constrained Bidirectional-Asynchronous Approach for Emotional Conversation GenerationJingyuan Li, Xiao Sun. 678-683 [doi]
• Auto-Dialabel: Labeling Dialogue Data with Unsupervised LearningChen Shi, Qi Chen, Lei Sha, Sujian Li, Xu Sun 0001, Houfeng Wang, Lintao Zhang. 684-689 [doi]
• Extending Neural Generative Conversational Model using External Knowledge SourcesPrasanna Parthasarathi, Joelle Pineau. 690-695 [doi]
• Modeling Temporality of Human Intentions by Domain AdaptationXiaolei Huang, Lixing Liu, Kate B. Carey, Joshua Woolley, Stefan Scherer, Brian Borsari. 696-701 [doi]
• An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue GenerationLiangchen Luo, Jingjing Xu, Junyang Lin, Qi Zeng, Xu Sun 0001. 702-707 [doi]
• A Dataset for Document Grounded ConversationsKangyan Zhou, Shrimai Prabhumoye, Alan W. Black. 708-713 [doi]
• Out-of-domain Detection based on Generative Adversarial NetworkSeonghan Ryu, Sangjun Koo, Hwanjo Yu, Gary Geunbae Lee. 714-718 [doi]
• Listening Comprehension over Argumentative ContentShachar Mirkin, Guy Moshkowich, Matan Orbach, Lili Kotlerman, Yoav Kantor, Tamar Lavee, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, Noam Slonim. 719-724 [doi]
• Using Active Learning to Expand Training Data for Implicit Discourse Relation RecognitionYang Xu, Yu Hong, Huibin Ruan, Jianmin Yao, Min Zhang, Guodong Zhou. 725-731 [doi]
• Learning To Split and Rephrase From Wikipedia Edit HistoryJan A. Botha, Manaal Faruqui, John Alex, Jason Baldridge, Dipanjan Das 0001. 732-737 [doi]
• BLEU is Not Suitable for the Evaluation of Text SimplificationElior Sulem, Omri Abend, Ari Rappoport. 738-744 [doi]
• S2SPMN: A Simple and Effective Framework for Response Generation with Relevant InformationJiaxin Pei, Chenliang Li. 745-750 [doi]
• Improving Reinforcement Learning Based Image Captioning with Natural Language PriorTszhang Guo, Shiyu Chang, Mo Yu, Kun Bai. 751-756 [doi]
• Training for Diversity in Image Paragraph CaptioningLuke Melas-Kyriazi, Alexander M. Rush, George Han. 757-761 [doi]
• A Graph-Theoretic Summary Evaluation for RougeElaheh Shafieibavani, Mohammad Ebrahimi, Raymond K. Wong, Fang Chen. 762-767 [doi]
• Guided Neural Language Generation for Abstractive Summarization using Abstract Meaning RepresentationHardy, Andreas Vlachos. 768-773 [doi]
• Evaluating Multiple System Summary Lengths: A Case StudyOri Shapira, David Gabay, Hadar Ronen, Judit Bar-Ilan, Yael Amsterdamer, Ani Nenkova, Ido Dagan. 774-778 [doi]
• Neural Latent Extractive Document SummarizationXingxing Zhang, Mirella Lapata, Furu Wei, Ming Zhou. 779-784 [doi]
• On the Abstractiveness of Neural Document SummarizationFangfang Zhang, Jin-ge Yao, Rui Yan. 785-790 [doi]
• Automatic Essay Scoring Incorporating Rating Schema via Reinforcement LearningYucheng Wang, Zhongyu Wei, Yaqian Zhou, Xuanjing Huang. 791-797 [doi]
• Identifying Well-formed Natural Language QuestionsManaal Faruqui, Dipanjan Das 0001. 798-803 [doi]
• Self-Governing Neural Networks for On-Device Short Text ClassificationSujith Ravi, Zornitsa Kozareva. 804-810 [doi]
• HFT-CNN: Learning Hierarchical Category Structure for Multi-label Short Text CategorizationKazuya Shimura, Jiyi Li, Fumiyo Fukumoto. 811-816 [doi]
• A Hierarchical Neural Attention-based Text ClassifierKoustuv Sinha, Yue Dong, Jackie Chi Kit Cheung, Derek Ruths. 817-823 [doi]
• Labeled Anchors and a Scalable, Transparent, and Interactive ClassifierJeffrey Lund, Stephen Cowley, Wilson Fearn, Emily Hales, Kevin D. Seppi. 824-829 [doi]
• Coherence-Aware Neural Topic ModelingRan Ding, Ramesh Nallapati, Bing Xiang. 830-836 [doi]
• Utilizing Character and Word Embeddings for Text Normalization with Sequence-to-Sequence ModelsDaniel Watson, Nasser Zalmout, Nizar Habash. 837-843 [doi]
• Topic Intrusion for Automatic Topic Model EvaluationShraey Bhatia, Jey Han Lau, Timothy Baldwin. 844-849 [doi]
• Supervised and Unsupervised Methods for Robust Separation of Section Titles and Prose Text in Web DocumentsAbhijith Athreya Mysore Gopinath, Shomir Wilson, Norman M. Sadeh. 850-855 [doi]
• SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine TranslationXinyi Wang, Hieu Pham, Zihang Dai, Graham Neubig. 856-861 [doi]
• Improving Unsupervised Word-by-Word Translation with Language Model and Denoising AutoencoderYunsu Kim, Jiahui Geng, Hermann Ney. 862-868 [doi]
• Decipherment of Substitution Ciphers with Neural Language ModelsNishant Kambhatla, Anahita Mansouri Bigvand, Anoop Sarkar. 869-874 [doi]
• Rapid Adaptation of Neural Machine Translation to New LanguagesGraham Neubig, Junjie Hu. 875-880 [doi]
• Compact Personalized Models for Neural Machine TranslationJoern Wuebker, Patrick Simianer, John DeNero. 881-886 [doi]
• Self-Governing Neural Networks for On-Device Short Text ClassificationSujith Ravi, Zornitsa Kozareva. 887-893 [doi]
• Supervised Domain Enablement Attention for Personalized Domain ClassificationJoo-Kyung Kim, Young-Bum Kim. 894-899 [doi]
• A Deep Neural Network Sentence Level Classification Method with Context InformationXingyi Song, Johann Petrak, Angus Roberts. 900-904 [doi]
• Towards Dynamic Computation Graphs via Sparse Latent StructureVlad Niculae, André F. T. Martins, Claire Cardie. 905-911 [doi]
• Convolutional Neural Networks with Recurrent Neural FiltersYi Yang. 912-917 [doi]
• Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence ModelKun Xu, Lingfei Wu, Zhiguo Wang, Mo Yu, Liwei Chen, Vadim Sheinin. 918-924 [doi]
• Retrieval-Based Neural Code GenerationShirley Anugrah Hayati, Raphael Olivier, Pravalika Avvaru, Pengcheng Yin, Anthony Tomasic, Graham Neubig. 925-930 [doi]
• SQL-to-Text Generation with Graph-to-Sequence ModelKun Xu, Lingfei Wu, Zhiguo Wang, Yansong Feng, Vadim Sheinin. 931-936 [doi]
• Generating Syntactic ParaphrasesEmilie Colin, Claire Gardent. 937-943 [doi]
• Neural-Davidsonian Semantic Proto-role LabelingRachel Rudinger, Adam R. Teichert, Ryan Culkin, Sheng Zhang 0012, Benjamin Van Durme. 944-955 [doi]
• Conversational Decision Making Model for Predicting King's Decision in the Annals of the Joseon DynastyJinYeong Bak, Alice Oh. 956-961 [doi]
• Toward Fast and Accurate Neural Discourse SegmentationYizhong Wang, Sujian Li, Jingfeng Yang. 962-967 [doi]
• A Dataset for Telling the Stories of Social Media VideosSpandana Gella, Mike Lewis, Marcus Rohrbach. 968-974 [doi]
• Cascaded Mutual Modulation for Visual ReasoningYiqun Yao, Jiaming Xu, Feng Wang 0023, Bo Xu. 975-980 [doi]
• How agents see things: On visual representations in an emergent language gameDiane Bouchacourt, Marco Baroni. 981-985 [doi]
• Attention-Based Capsule Network with Dynamic Routing for Relation ExtractionNingyu Zhang, Shumin Deng, Zhanling Sun, Xi Chen 0003, Wei Zhang, Huajun Chen. 986-992 [doi]
• Put It Back: Entity Typing with Language Model EnhancementJi Xin, Hao Zhu, Xu Han, Zhiyuan Liu 0001, Maosong Sun. 993-998 [doi]
• Event Detection with Neural Networks: A Rigorous Empirical EvaluationJohn Walker Orr, Prasad Tadepalli, Xiaoli Z. Fern. 999-1004 [doi]
• PubSE: A Hierarchical Model for Publication Extraction from Academic HomepagesYiqing Zhang, Jianzhong Qi, Rui Zhang, Chuandong Yin. 1005-1010 [doi]
• A Neural Transition-based Model for Nested Mention RecognitionBailin Wang, Wei Lu, Yu Wang, Hongxia Jin. 1011-1017 [doi]
• Genre Separation Network with Adversarial Training for Cross-genre Relation ExtractionGe Shi, Chong Feng, Lifu Huang, Boliang Zhang, Heng Ji, Lejian Liao, Heyan Huang. 1018-1023 [doi]
• Effective Use of Context in Noisy Entity LinkingDavid Mueller, Greg Durrett. 1024-1029 [doi]
• Exploiting Contextual Information via Dynamic Memory Network for Event DetectionShaobo Liu, Rui Cheng, Xiaoming Yu, Xueqi Cheng. 1030-1035 [doi]
• Do explanations make VQA models more predictable to a human?Arjun Chandrasekaran, Viraj Prabhu, Deshraj Yadav, Prithvijit Chattopadhyay, Devi Parikh. 1036-1042 [doi]
• Facts That MatterMarco Ponza, Luciano Del Corro, Gerhard Weikum. 1043-1048 [doi]
• Entity Tracking Improves Cloze-style Reading ComprehensionLuong Hoang, Sam Wiseman, Alexander M. Rush. 1049-1055 [doi]
• Adversarial Domain Adaptation for Duplicate Question DetectionDarsh J. Shah, Tao Lei, Alessandro Moschitti, Salvatore Romeo, Preslav Nakov. 1056-1063 [doi]
• Translating Math Word Problem to Expression TreeLei Wang, Yan Wang, Deng Cai, Dongxiang Zhang, Xiaojiang Liu. 1064-1069 [doi]
• Semantic Linking in Convolutional Neural Networks for Answer Sentence SelectionMassimo Nicosia, Alessandro Moschitti. 1070-1076 [doi]
• A dataset and baselines for sequential open-domain question answeringAhmed Elgohary, Chen Zhao, Jordan L. Boyd-Graber. 1077-1083 [doi]
• Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test setRadu-Tudor Ionescu, Andrei M. Butnaru. 1084-1090 [doi]
• Parameterized Convolutional Neural Networks for Aspect Level Sentiment ClassificationBinxuan Huang, Kathleen M. Carley. 1091-1096 [doi]
• Improving Multi-label Emotion Classification via Sentiment Classification with Dual Attention Transfer NetworkJianfei Yu, Luís Marujo, Jing Jiang, Pradeep Karuturi, William Brendel. 1097-1102 [doi]
• Learning Sentiment Memories for Sentiment Modification without Parallel DataYi Zhang, Jingjing Xu, Pengcheng Yang, Xu Sun 0001. 1103-1108 [doi]
• Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural NetworksMartin Schmitt, Simon Steinheber, Konrad Schreiber, Benjamin Roth. 1109-1114 [doi]
• Representing Social Media Users for Sarcasm DetectionY. Alex Kolchinski, Christopher Potts. 1115-1121 [doi]
• Syntactical Analysis of the Weaknesses of Sentiment AnalyzersRohil Verma, Samuel Kim, David Walter. 1122-1127 [doi]
• Is Nike female? Exploring the role of sound symbolism in predicting brand name genderSridhar Moorthy, Ruth Pogacar, Samin Khan, Yang Xu. 1128-1132 [doi]
• Improving Large-Scale Fact-Checking using Decomposable Attention Models and Lexical TaggingNayeon Lee, Chien-Sheng Wu, Pascale Fung. 1133-1138 [doi]
• Harnessing Popularity in Social Media for Extractive Summarization of Online ConversationsRyuji Kano, Yasuhide Miura, Motoki Taniguchi, Yan-Ying Chen, Francine Chen, Tomoko Ohkuma. 1139-1145 [doi]
• Identifying Locus of Control in Social Media LanguageMasoud Rouhizadeh, Kokil Jaidka, Laura Smith, H. Andrew Schwartz, Anneke Buffone, Lyle H. Ungar. 1146-1152 [doi]
• Somm: Into the ModelShengli Hu. 1153-1159 [doi]
• Fine-Grained Emotion Detection in Health-Related Online PostsHamed Khanpour, Cornelia Caragea. 1160-1166 [doi]
• The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level PredictionsSalvatore Giorgi, Daniel Preotiuc-Pietro, Anneke Buffone, Daniel Rieman, Lyle H. Ungar, H. Andrew Schwartz. 1167-1172 [doi]
• Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative RefinementJason Lee, Elman Mansimov, KyungHyun Cho. 1173-1182 [doi]
• Large Margin Neural Language ModelJiaji Huang, Yi Li, Wei Ping, Liang Huang 0001. 1183-1191 [doi]
• Targeted Syntactic Evaluation of Language ModelsRebecca Marvin, Tal Linzen. 1192-1202 [doi]
• Rational RecurrencesHao Peng, Roy Schwartz, Sam Thomson, Noah A. Smith. 1203-1214 [doi]
• Efficient Contextualized Representation: Language Model Pruning for Sequence LabelingLiyuan Liu, Xiang Ren, Jingbo Shang, Xiaotao Gu, Jian Peng 0001, Jiawei Han 0001. 1215-1225 [doi]
• Automatic Event Salience IdentificationZhengzhong Liu, Chenyan Xiong, Teruko Mitamura, Eduard H. Hovy. 1226-1236 [doi]
• Temporal Information Extraction by Predicting Relative Time-linesArtuur Leeuwenberg, Marie-Francine Moens. 1237-1246 [doi]
• Jointly Multiple Events Extraction via Attention-based Graph Information AggregationXiao Liu, Zhunchen Luo, Heyan Huang. 1247-1256 [doi]
• RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side InformationShikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, Partha Talukdar. 1257-1266 [doi]
• Collective Event Detection via a Hierarchical and Bias Tagging Networks with Gated Multi-level Attention MechanismsYubo Chen 0001, Hang Yang, Kang Liu 0001, Jun Zhao 0001, Yantao Jia. 1267-1276 [doi]
• Valency-Augmented Dependency ParsingTianze Shi, Lillian Lee. 1277-1291 [doi]
• Unsupervised Learning of Syntactic Structure with Invertible Neural ProjectionsJunxian He, Graham Neubig, Taylor Berg-Kirkpatrick. 1292-1302 [doi]
• Dynamic Oracles for Top-Down and In-Order Shift-Reduce Constituent ParsingDaniel Fernández-González, Carlos Gómez-Rodríguez. 1303-1313 [doi]
• Constituent Parsing as Sequence LabelingCarlos Gómez-Rodríguez, David Vilares. 1314-1324 [doi]
• Synthetic Data Made to Order: The Case of ParsingDingquan Wang, Jason Eisner. 1325-1337 [doi]
• Tell-and-Answer: Towards Explainable Visual Question Answering using Attributes and CaptionsQing Li 0003, Jianlong Fu, Dongfei Yu, Tao Mei, Jiebo Luo. 1338-1346 [doi]
• Learning a Policy for Opportunistic Active LearningAishwarya Padmakumar, Peter Stone, Raymond J. Mooney. 1347-1357 [doi]
• RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking RecipesSemih Yagcioglu, Aykut Erdem, Erkut Erdem, Nazli Ikizler-Cinbis. 1358-1368 [doi]
• TVQA: Localized, Compositional Video Question AnsweringJie Lei, Licheng Yu, Mohit Bansal, Tamara L. Berg. 1369-1379 [doi]
• Localizing Moments in Video with Temporal LanguageLisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell, Bryan Russell. 1380-1390 [doi]
• Card-660: A Reliable Evaluation Framework for Rare Word Representation ModelsMohammad Taher Pilehvar, Dimitri Kartsaklis, Victor Prokhorov, Nigel Collier. 1391-1401 [doi]
• Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-AttentionFuli Luo, Tianyu Liu, Zexue He, Qiaolin Xia, Zhifang Sui, Baobao Chang. 1402-1411 [doi]
• Weeding out Conventionalized Metaphors: A Corpus of Novel Metaphor AnnotationsErik-Lân Do Dinh, Hannah Wieland, Iryna Gurevych. 1412-1424 [doi]
• Streaming word similarity mining on the cheapOlof Görnerup, Daniel Gillblad. 1425-1434 [doi]
• Memory, Show the Way: Memory Based Few Shot Word Representation LearningJingyuan Sun, Shaonan Wang, Chengqing Zong. 1435-1444 [doi]
• Disambiguated skip-gram modelKarol Grzegorczyk, Marcin Kurdziel. 1445-1454 [doi]
• Picking Apart Story SaladsSu Wang, Eric Holgate, Greg Durrett, Katrin Erk. 1455-1465 [doi]
• Dynamic Meta-Embeddings for Improved Sentence RepresentationsDouwe Kiela, Changhan Wang, KyungHyun Cho. 1466-1477 [doi]
• A Probabilistic Model for Joint Learning of Word Embeddings from Texts and ImagesMelissa Ailem, Bowen Zhang, Aurélien Bellet, Pascal Denis, Fei Sha. 1478-1487 [doi]
• Transfer and Multi-Task Learning for Noun-Noun Compound InterpretationMurhaf Fares, Stephan Oepen, Erik Velldal. 1488-1498 [doi]
• Dissecting Contextual Word Embeddings: Architecture and RepresentationMatthew E. Peters, Mark Neumann, Luke Zettlemoyer, Wen-tau Yih. 1499-1509 [doi]
• Preposition Sense Disambiguation and RepresentationHongyu Gong, Jiaqi Mu, Suma Bhat, Pramod Viswanath. 1510-1521 [doi]
• Auto-Encoding Dictionary Definitions into Consistent Word EmbeddingsTom Bosc, Pascal Vincent. 1522-1532 [doi]
• Spot the Odd Man Out: Exploring the Associative Power of Lexical ResourcesGabriel Stanovsky, Mark Hopkins. 1533-1542 [doi]
• Neural Multitask Learning for Simile RecognitionLizhen Liu, Xiao Hu, Wei Song, Ruiji Fu, Ting Liu, Guoping Hu. 1543-1553 [doi]
• Structured Alignment Networks for Matching SentencesYang Liu, Matt Gardner 0001, Mirella Lapata. 1554-1564 [doi]
• Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language InferenceYi Tay, Anh Tuan Luu, Siu Cheung Hui. 1565-1575 [doi]
• Convolutional Interaction Network for Natural Language InferenceJingjing Gong, Xipeng Qiu, Xinchi Chen, Dong Liang, Xuanjing Huang. 1576-1585 [doi]
• Lessons from Natural Language Inference in the Clinical DomainAlexey Romanov, Chaitanya Shivade. 1586-1596 [doi]
• Question Generation from SQL Queries Improves Neural Semantic ParsingDaya Guo, Yibo Sun, Duyu Tang, Nan Duan, Jian Yin, Hong Chi, James Cao, Peng Chen, Ming Zhou. 1597-1607 [doi]
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• SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-Domain Text-to-SQL TaskTao Yu, Michihiro Yasunaga, Kai Yang, Rui Zhang, Dongxu Wang, Zifan Li, Dragomir R. Radev. 1653-1663 [doi]
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• Better Transition-Based AMR Parsing with Refined Search SpaceZhijiang Guo, Wei Lu. 1712-1722 [doi]
• Heuristically Informed Unsupervised Idiom Usage RecognitionChangsheng Liu, Rebecca Hwa. 1723-1731 [doi]
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• One-Shot Relational Learning for Knowledge GraphsWenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang. 1980-1990 [doi]
• Regular Expression Guided Entity Mention Mining from Noisy Web DataShanshan Zhang, Lihong He, Slobodan Vucetic, Eduard C. Dragut. 1991-2000 [doi]
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• Neural Adaptation Layers for Cross-domain Named Entity RecognitionBill Yuchen Lin, Wei Lu. 2012-2022 [doi]
• Entity Linking within a Social Media Platform: A Case Study on YelpHongliang Dai, Yangqiu Song, Liwei Qiu, Rijia Liu. 2023-2032 [doi]
• Annotation of a Large Clinical Entity CorpusPinal Patel, Disha Davey, Vishal Panchal, Parth Pathak. 2033-2042 [doi]
• Visual Supervision in Bootstrapped Information ExtractionMatthew Berger, Ajay Nagesh, Joshua A. Levine, Mihai Surdeanu, Helen Zhang. 2043-2053 [doi]
• Learning Named Entity Tagger using Domain-Specific DictionaryJingbo Shang, Liyuan Liu, Xiaotao Gu, Xiang Ren, Teng Ren, Jiawei Han 0001. 2054-2064 [doi]
• Zero-Shot Open Entity Typing as Type-Compatible GroundingBen Zhou, Daniel Khashabi, Chen-Tse Tsai, Dan Roth. 2065-2076 [doi]
• Attention-Guided Answer Distillation for Machine Reading ComprehensionMinghao Hu, Yuxing Peng, Furu Wei, Zhen Huang, Dongsheng Li, Nan Yang, Ming Zhou. 2077-2086 [doi]
• Interpretation of Natural Language Rules in Conversational Machine ReadingMarzieh Saeidi, Max Bartolo, Patrick Lewis, Sameer Singh 0001, Tim Rocktäschel, Mike Sheldon, Guillaume Bouchard, Sebastian Riedel 0001. 2087-2097 [doi]
• A State-transition Framework to Answer Complex Questions over Knowledge BaseSen Hu, Lei Zou 0001, Xinbo Zhang. 2098-2108 [doi]
• A Multi-answer Multi-task Framework for Real-world Machine Reading ComprehensionJiahua Liu, Wan Wei, Maosong Sun, Hao Chen, Yantao Du, Dekang Lin. 2109-2118 [doi]
• Logician and Orator: Learning from the Duality between Language and Knowledge in Open DomainMingming Sun, Xu Li, Ping Li 0001. 2119-2130 [doi]
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• Multi-Granular Sequence Encoding via Dilated Compositional Units for Reading ComprehensionYi Tay, Anh Tuan Luu, Siu Cheung Hui. 2141-2151 [doi]
• Neural Compositional Denotational Semantics for Question AnsweringNitish Gupta, Mike Lewis. 2152-2161 [doi]
• Cross-Pair Text Representations for Answer Sentence SelectionKateryna Tymoshenko, Alessandro Moschitti. 2162-2173 [doi]
• QuAC: Question Answering in ContextEunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer. 2174-2184 [doi]
• Knowledge Base Question Answering via Encoding of Complex Query GraphsKangqi Luo, Fengli Lin, Xusheng Luo, Kenny Q. Zhu. 2185-2194 [doi]
• Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer LearningTianyi Liu, Xinsong Zhang, Wanhao Zhou, Weijia Jia. 2195-2204 [doi]
• Graph Convolution over Pruned Dependency Trees Improves Relation ExtractionYuhao Zhang, Peng Qi 0003, Christopher D. Manning. 2205-2215 [doi]
• Multi-Level Structured Self-Attentions for Distantly Supervised Relation ExtractionJinhua Du, Jingguang Han, Andy Way, Dadong Wan. 2216-2225 [doi]
• N-ary Relation Extraction using Graph-State LSTMLinfeng Song, Yue Zhang, Zhiguo Wang, Daniel Gildea. 2226-2235 [doi]
• Hierarchical Relation Extraction with Coarse-to-Fine Grained AttentionXu Han, Pengfei Yu, Zhiyuan Liu 0001, Maosong Sun, Peng Li. 2236-2245 [doi]
• Label-Free Distant Supervision for Relation Extraction via Knowledge Graph EmbeddingGuanying Wang, Wen Zhang, Ruoxu Wang, Yalin Zhou, Xi Chen 0003, Wei Zhang, Hai Zhu, Huajun Chen. 2246-2255 [doi]
• Extracting Entities and Relations with Joint Minimum Risk TrainingChangzhi Sun, Yuanbin Wu, Man Lan, Shiliang Sun, Wenting Wang, Kuang-Chih Lee, Kewen Wu. 2256-2265 [doi]
• Large-scale Exploration of Neural Relation Classification ArchitecturesHoang-Quynh Le, Duy-Cat Can, Sinh T. Vu, Thanh Hai Dang, Mohammad Taher Pilehvar, Nigel Collier. 2266-2277 [doi]
• Possessors Change Over Time: A Case Study with ArtworksDhivya Chinnappa, Eduardo Blanco 0002. 2278-2287 [doi]
• Using lexical alignment and referring ability to address data sparsity in situated dialog reference resolutionTodd Shore, Gabriel Skantze. 2288-2297 [doi]
• Subgoal Discovery for Hierarchical Dialogue Policy LearningDa Tang, Xiujun Li, Jianfeng Gao, Chong Wang, Lihong Li 0001, Tony Jebara. 2298-2309 [doi]
• Supervised Clustering of Questions into Intents for Dialog System ApplicationsIryna Haponchyk, Antonio Uva 0001, Seunghak Yu, Olga Uryupina, Alessandro Moschitti. 2310-2321 [doi]
• Towards Exploiting Background Knowledge for Building Conversation SystemsNikita Moghe, Siddhartha Arora, Suman Banerjee, Mitesh M. Khapra. 2322-2332 [doi]
• Decoupling Strategy and Generation in Negotiation DialoguesHe He, Derek Chen, Anusha Balakrishnan, Percy Liang. 2333-2343 [doi]
• Large-scale Cloze Test Dataset Created by TeachersQizhe Xie, Guokun Lai, Zihang Dai, Eduard H. Hovy. 2344-2356 [doi]
• emrQA: A Large Corpus for Question Answering on Electronic Medical RecordsAnusri Pampari, Preethi Raghavan, Jennifer J. Liang, Jian Peng. 2357-2368 [doi]
• HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question AnsweringZhilin Yang, Peng Qi 0003, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov, Christopher D. Manning. 2369-2380 [doi]
• Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question AnsweringTodor Mihaylov, Peter Clark, Tushar Khot, Ashish Sabharwal. 2381-2391 [doi]
• Evaluating Theory of Mind in Question AnsweringAida Nematzadeh, Kaylee Burns, Erin Grant, Alison Gopnik, Tom Griffiths. 2392-2400 [doi]
• A Unified Syntax-aware Framework for Semantic Role LabelingZuchao Li, Shexia He, Jiaxun Cai, Zhuosheng Zhang, Hai Zhao, Gongshen Liu, Linlin Li, Luo Si. 2401-2411 [doi]
• Semantics as a Foreign LanguageGabriel Stanovsky, Ido Dagan. 2412-2421 [doi]
• An AMR Aligner Tuned by Transition-based ParserYijia Liu, Wanxiang Che, Bo Zheng, Bing Qin 0001, Ting Liu. 2422-2430 [doi]
• Dependency-based Hybrid Trees for Semantic ParsingZhanming Jie, Wei Lu. 2431-2441 [doi]
• Policy Shaping and Generalized Update Equations for Semantic Parsing from DenotationsDipendra Misra, Ming-Wei Chang, Xiaodong He 0001, Wen-tau Yih. 2442-2452 [doi]
• Sentence Compression for Arbitrary Languages via Multilingual PivotingJonathan Mallinson, Rico Sennrich, Mirella Lapata. 2453-2464 [doi]
• Unsupervised Cross-lingual Transfer of Word Embedding SpacesRuochen Xu, Yiming Yang, Naoki Otani, Yuexin Wu. 2465-2474 [doi]
• XNLI: Evaluating Cross-lingual Sentence RepresentationsAlexis Conneau, Ruty Rinott, Guillaume Lample, Adina Williams, Samuel R. Bowman, Holger Schwenk, Veselin Stoyanov. 2475-2485 [doi]
• Joint Multilingual Supervision for Cross-lingual Entity LinkingShyam Upadhyay, Nitish Gupta, Dan Roth. 2486-2495 [doi]
• Fine-grained Coordinated Cross-lingual Text Stream Alignment for Endless Language Knowledge AcquisitionTao Ge, Qing Dou, Heng Ji, Lei Cui, Baobao Chang, Zhifang Sui, Furu Wei, Ming Zhou. 2496-2506 [doi]
• WECA：A WordNet-Encoded Collocation-Attention Network for Homographic Pun RecognitionYufeng Diao, Hongfei Lin, Di Wu, Liang Yang 0003, Kan Xu, Zhihao Yang, Jian Wang, ShaoWu Zhang, Bo Xu 0008, Dongyu Zhang. 2507-2516 [doi]
• A Hybrid Approach to Automatic Corpus Generation for Chinese Spelling CheckDingmin Wang, Yan Song, Jing Li, Jialong Han, Haisong Zhang. 2517-2527 [doi]
• Neural Quality Estimation of Grammatical Error CorrectionShamil Chollampatt, Hwee Tou Ng. 2528-2539 [doi]
• Transferring from Formal Newswire Domain with Hypernet for Twitter POS TaggingTao Gui, Qi Zhang, Jingjing Gong, Minlong Peng, Di Liang, Keyu Ding, Xuanjing Huang. 2540-2549 [doi]
• Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in SanskritAmrith Krishna, Bishal Santra, Sasi Prasanth Bandaru, Gaurav Sahu, Vishnu Dutt Sharma, Pavankumar Satuluri, Pawan Goyal. 2550-2561 [doi]
• A Challenge Set and Methods for Noun-Verb AmbiguityAli El-Kahky, Kellie Webster, Daniel Andor, Emily Pitler. 2562-2572 [doi]
• What do character-level models learn about morphology? The case of dependency parsingClara Vania, Andreas Grivas, Adam Lopez. 2573-2583 [doi]
• Learning Better Internal Structure of Words for Sequence LabelingYingwei Xin, Ethan Hart, Vibhuti Mahajan, Jean-David Ruvini. 2584-2593 [doi]
• ICON: Interactive Conversational Memory Network for Multimodal Emotion DetectionDevamanyu Hazarika, Soujanya Poria, Rada Mihalcea, Erik Cambria, Roger Zimmermann. 2594-2604 [doi]
• Discriminative Learning of Open-Vocabulary Object Retrieval and Localization by Negative Phrase AugmentationRyota Hinami, Shin'ichi Satoh. 2605-2615 [doi]
• Grounding Semantic Roles in ImagesCarina Silberer, Manfred Pinkal. 2616-2626 [doi]
• Commonsense Justification for Action ExplanationShaohua Yang, Qiaozi Gao, Sari Saba-Sadiya, Joyce Yue Chai. 2627-2637 [doi]
• Learning Personas from Dialogue with Attentive Memory NetworksEric Chu, Prashanth Vijayaraghavan, Deb Roy. 2638-2646 [doi]
• Grounding language acquisition by training semantic parsers using captioned videosCandace Ross, Andrei Barbu, Yevgeni Berzak, Battushig Myanganbayar, Boris Katz. 2647-2656 [doi]
• Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot NavigationXiaoxue Zang, Ashwini Pokle, Marynel Vázquez, Kevin Chen, Juan Carlos Niebles, Alvaro Soto, Silvio Savarese. 2657-2666 [doi]
• Mapping Instructions to Actions in 3D Environments with Visual Goal PredictionDipendra Kumar Misra, Andrew Bennett, Valts Blukis, Eyvind Niklasson, Max Shatkhin, Yoav Artzi. 2667-2678 [doi]
• Deconvolutional time series regression: A technique for modeling temporally diffuse effectsCory Shain, William Schuler. 2679-2689 [doi]
• Is this Sentence Difficult? Do you Agree?Dominique Brunato, Lorenzo De Mattei, Felice dell'Orletta, Benedetta Iavarone, Giulia Venturi. 2690-2699 [doi]
• Neural Transition Based Parsing of Web Queries: An Entity Based ApproachRivka Malca, Roi Reichart. 2700-2710 [doi]
• An Investigation of the Interactions Between Pre-Trained Word Embeddings, Character Models and POS Tags in Dependency ParsingAaron Smith, Miryam de Lhoneux, Sara Stymne, Joakim Nivre. 2711-2720 [doi]
• Depth-bounding is effective: Improvements and Evaluation of Unsupervised PCFG InductionLifeng Jin, Finale Doshi-Velez, Timothy A. Miller, William Schuler, Lane Schwartz. 2721-2731 [doi]
• Incremental Computation of Infix Probabilities for Probabilistic Finite AutomataMarco Cognetta, Yo-Sub Han, Soon-Chan Kwon. 2732-2741 [doi]
• Syntax Encoding with Application in Authorship AttributionRichong Zhang, Zhiyuan Hu, Hongyu Guo, Yongyi Mao. 2742-2753 [doi]
• Sanskrit Word Segmentation Using Character-level Recurrent and Convolutional Neural NetworksOliver Hellwig, Sebastian Nehrdich. 2754-2763 [doi]
• Session-level Language Modeling for Conversational SpeechWayne Xiong, Lingfeng Wu, Jun Zhang, Andreas Stolcke. 2764-2768 [doi]
• Towards Less Generic Responses in Neural Conversation Models: A Statistical Re-weighting MethodYahui Liu, Wei Bi, Jun Gao, Xiaojiang Liu, Jian Yao, Shuming Shi. 2769-2774 [doi]
• Training Millions of Personalized Dialogue AgentsPierre-Emmanuel Mazaré, Samuel Humeau, Martin Raison, Antoine Bordes. 2775-2779 [doi]
• Towards Universal Dialogue State TrackingLiliang Ren, Kaige Xie, Lu Chen, Kai Yu. 2780-2786 [doi]
• Semantic Parsing for Task Oriented Dialog using Hierarchical RepresentationsSonal Gupta, Rushin Shah, Mrinal Mohit, Anuj Kumar, Mike Lewis. 2787-2792 [doi]
• The glass ceiling in NLPNatalie Schluter. 2793-2798 [doi]
• Reducing Gender Bias in Abusive Language DetectionJi-Ho Park, Jamin Shin, Pascale Fung. 2799-2804 [doi]
• SafeCity: Understanding Diverse Forms of Sexual Harassment Personal StoriesSweta Karlekar, Mohit Bansal. 2805-2811 [doi]
• Learning multiview embeddings for assessing dementiaChloé Pou-Prom, Frank Rudzicz. 2812-2817 [doi]
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• Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label SetsNathan Greenberg, Trapit Bansal, Patrick Verga, Andrew McCallum. 2824-2829 [doi]
• Adversarial training for multi-context joint entity and relation extractionGiannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder. 2830-2836 [doi]
• Structured Multi-Label Biomedical Text Tagging via Attentive Neural Tree DecodingGaurav Singh, James Thomas, Iain James Marshall, John Shawe-Taylor, Byron C. Wallace. 2837-2842 [doi]
• Deep Exhaustive Model for Nested Named Entity RecognitionMohammad Golam Sohrab, Makoto Miwa. 2843-2849 [doi]
• Evaluating the Utility of Hand-crafted Features in Sequence LabelingMinghao Wu, Fei Liu 0023, Trevor Cohn. 2850-2856 [doi]
• Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled DataWenhui Wang, Baobao Chang, Mairgup Mansur. 2857-2863 [doi]
• A Framework for Understanding the Role of Morphology in Universal Dependency ParsingMathieu Dehouck, Pascal Denis. 2864-2870 [doi]
• The Lazy Encoder: A Fine-Grained Analysis of the Role of Morphology in Neural Machine TranslationArianna Bisazza, Clara Tump. 2871-2876 [doi]
• Imitation Learning for Neural Morphological String TransductionPeter Makarov, Simon Clematide. 2877-2882 [doi]
• An Encoder-Decoder Approach to the Paradigm Cell Filling ProblemMiikka Silfverberg, Mans Hulden. 2883-2889 [doi]
• Generating Natural Language Adversarial ExamplesMoustafa Alzantot, Yash Sharma, Ahmed Elgohary, Bo-Jhang Ho, Mani B. Srivastava, Kai-Wei Chang. 2890-2896 [doi]
• Multi-Head Attention with Disagreement RegularizationJian Li, Zhaopeng Tu, Baosong Yang, Michael R. Lyu, Tong Zhang. 2897-2903 [doi]
• Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical StudyAditya Siddhant, Zachary C. Lipton. 2904-2909 [doi]
• Bayesian Compression for Natural Language ProcessingNadezhda Chirkova, Ekaterina Lobacheva, Dmitry P. Vetrov. 2910-2915 [doi]
• Multimodal neural pronunciation modeling for spoken languages with logographic originMinh Nguyen, Gia H. Ngo, Nancy Chen. 2916-2922 [doi]
• Chinese Pinyin Aided IME, Input What You Have Not Keystroked YetYafang Huang, Hai Zhao. 2923-2929 [doi]
• Estimating Marginal Probabilities of n-grams for Recurrent Neural Language ModelsThanapon Noraset, Doug Downey, Lidong Bing. 2930-2935 [doi]
• How to represent a word and predict it, too: improving tied architectures for language modellingKristina Gulordava, Laura Aina, Gemma Boleda. 2936-2941 [doi]
• The Importance of Generation Order in Language ModelingNicolas Ford, Daniel Duckworth, Mohammad Norouzi 0002, George E. Dahl. 2942-2946 [doi]
• Document-Level Neural Machine Translation with Hierarchical Attention NetworksLesly Miculicich Werlen, Dhananjay Ram, Nikolaos Pappas, James Henderson. 2947-2954 [doi]
• Three Strategies to Improve One-to-Many Multilingual TranslationYining Wang, Jiajun Zhang, Feifei Zhai, Jingfang Xu, Chengqing Zong. 2955-2960 [doi]
• Multi-Source Syntactic Neural Machine TranslationAnna Currey, Kenneth Heafield. 2961-2966 [doi]
• Fixing Translation Divergences in Parallel Corpora for Neural MTMinh Quang Pham, Josep Maria Crego, Jean Senellart, François Yvon. 2967-2973 [doi]
• Adversarial Evaluation of Multimodal Machine TranslationDesmond Elliott. 2974-2978 [doi]
• Loss in Translation: Learning Bilingual Word Mapping with a Retrieval CriterionArmand Joulin, Piotr Bojanowski, Tomas Mikolov, Hervé Jégou, Edouard Grave. 2979-2984 [doi]
• Learning When to Concentrate or Divert Attention: Self-Adaptive Attention Temperature for Neural Machine TranslationJunyang Lin, Xu Sun 0001, Xuancheng Ren, Muyu Li, Qi Su. 2985-2990 [doi]
• Accelerating Asynchronous Stochastic Gradient Descent for Neural Machine TranslationNikolay Bogoychev, Kenneth Heafield, Alham Fikri Aji, Marcin Junczys-Dowmunt. 2991-2996 [doi]
• Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction MechanismLongyue Wang, Zhaopeng Tu, Andy Way, Qun Liu. 2997-3002 [doi]
• Getting Gender Right in Neural MTEva Vanmassenhove, Christian Hardmeier, Andy Way. 3003-3008 [doi]
• Towards Two-Dimensional Sequence to Sequence Model in Neural Machine TranslationParnia Bahar, Christopher Brix, Hermann Ney. 3009-3015 [doi]
• End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal ClassificationJindrich Libovický, Jindrich Helcl. 3016-3021 [doi]
• Prediction Improves Simultaneous Neural Machine TranslationAshkan Alinejad, Maryam Siahbani, Anoop Sarkar. 3022-3027 [doi]
• Training Deeper Neural Machine Translation Models with Transparent AttentionAnkur Bapna, Mia Xu Chen, Orhan Firat, Yuan Cao, Yonghui Wu. 3028-3033 [doi]
• Context and Copying in Neural Machine TranslationRebecca Knowles, Philipp Koehn. 3034-3041 [doi]
• Encoding Gated Translation Memory into Neural Machine TranslationQian Cao, Deyi Xiong. 3042-3047 [doi]
• Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter ApproachThuy-Trang Vu, Gholamreza Haffari. 3048-3053 [doi]
• Breaking the Beam Search Curse: A Study of (Re-)Scoring Methods and Stopping Criteria for Neural Machine TranslationYilin Yang, Liang Huang 0001, Mingbo Ma. 3054-3059 [doi]
• Multi-View Learning: Multilingual and Multi-Representation Entity TypingYadollah Yaghoobzadeh, Hinrich Schütze. 3060-3066 [doi]
• Word Embeddings for Code-Mixed Language ProcessingAdithya Pratapa, Monojit Choudhury, Sunayana Sitaram. 3067-3072 [doi]
• On the Strength of Character Language Models for Multilingual Named Entity RecognitionXiaodong Yu, Stephen D. Mayhew, Mark Sammons, Dan Roth. 3073-3077 [doi]
• Code-switched Language Models Using Dual RNNs and Same-Source PretrainingSaurabh Garg, Tanmay Parekh, Preethi Jyothi. 3078-3083 [doi]
• Part-of-Speech Tagging for Code-Switched, Transliterated Texts without Explicit Language IdentificationKelsey Ball, Dan Garrette. 3084-3089 [doi]
• Zero-shot User Intent Detection via Capsule Neural NetworksCongying Xia, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu. 3090-3099 [doi]
• Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific AbstractsDi Jin, Peter Szolovits. 3100-3109 [doi]
• Investigating Capsule Networks with Dynamic Routing for Text ClassificationMin Yang, Wei Zhao, Jianbo Ye, Zeyang Lei, Zhou Zhao, Soufei Zhang. 3110-3119 [doi]
• Topic Memory Networks for Short Text ClassificationJichuan Zeng, Jing Li, Yan Song, Cuiyun Gao, Michael R. Lyu, Irwin King. 3120-3131 [doi]
• Few-Shot and Zero-Shot Multi-Label Learning for Structured Label SpacesAnthony Rios, Ramakanth Kavuluru. 3132-3142 [doi]
• Automatic Poetry Generation with Mutual Reinforcement LearningXiaoyuan Yi, Maosong Sun, Ruoyu Li, Wenhao Li. 3143-3153 [doi]
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• Multi-Reference Training with Pseudo-References for Neural Translation and Text GenerationRenjie Zheng, Mingbo Ma, Liang Huang 0001. 3188-3197 [doi]
• Knowledge Graph Embedding with Hierarchical Relation StructureZhao Zhang, Fuzhen Zhuang, Meng Qu, Fen Lin, Qing He. 3198-3207 [doi]
• Embedding Multimodal Relational Data for Knowledge Base CompletionPouya Pezeshkpour, Liyan Chen, Sameer Singh 0001. 3208-3218 [doi]
• Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph ConstructionYi Luan, Luheng He, Mari Ostendorf, Hannaneh Hajishirzi. 3219-3232 [doi]
• Playing 20 Question Game with Policy-Based Reinforcement LearningHuang Hu, Xianchao Wu, Bingfeng Luo, Chongyang Tao, Can Xu, Wei Wu 0014, Zhan Chen. 3233-3242 [doi]
• Multi-Hop Knowledge Graph Reasoning with Reward ShapingXi Victoria Lin, Richard Socher, Caiming Xiong. 3243-3253 [doi]
• Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource SettingKatharina Kann, Hinrich Schütze. 3254-3264 [doi]
• Implicational Universals in Stochastic Constraint-Based PhonologyGiorgio Magri. 3265-3274 [doi]
• Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules?Fréderic Godin, Kris Demuynck, Joni Dambre, Wesley De Neve, Thomas Demeester. 3275-3284 [doi]
• Adapting Word Embeddings to New Languages with Morphological and Phonological Subword RepresentationsAditi Chaudhary, Chunting Zhou, Lori S. Levin, Graham Neubig, David R. Mortensen, Jaime G. Carbonell. 3285-3295 [doi]
• A Computational Exploration of ExaggerationEnrica Troiano, Carlo Strapparava, Gözde Özbal, Serra Sinem Tekiroglu. 3296-3304 [doi]
• Building Context-aware Clause Representations for Situation Entity Type ClassificationZeyu Dai, Ruihong Huang. 3305-3315 [doi]
• Hierarchical Dirichlet Gaussian Marked Hawkes Process for Narrative Reconstruction in Continuous Time DomainYeon Seonwoo, Alice Oh, Sungjoon Park. 3316-3325 [doi]
• Investigating the Role of Argumentation in the Rhetorical Analysis of Scientific Publications with Neural Multi-Task Learning ModelsAnne Lauscher, Goran Glavas, Simone Paolo Ponzetto, Kai Eckert 0001. 3326-3338 [doi]
• Neural Ranking Models for Temporal Dependency Structure ParsingYuchen Zhang, Nianwen Xue. 3339-3349 [doi]
• Causal Explanation Analysis on Social MediaYoungseo Son, Nipun Bayas, H. Andrew Schwartz. 3350-3359 [doi]
• LRMM: Learning to Recommend with Missing ModalitiesCheng Wang, Mathias Niepert, Hui Li. 3360-3370 [doi]
• Content Explorer: Recommending Novel Entities for a Document WriterMichal Lukasik, Richard Zens. 3371-3380 [doi]
• A Genre-Aware Attention Model to Improve the Likability Prediction of BooksSuraj Maharjan, Manuel Montes-y-Gómez, Fabio A. González, Thamar Solorio. 3381-3391 [doi]
• Thread Popularity Prediction and Tracking with a Permutation-invariant ModelHou Pong Chan, Irwin King. 3392-3401 [doi]
• IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment AnalysisNavonil Majumder, Soujanya Poria, Alexander F. Gelbukh, Md. Shad Akhtar, Erik Cambria, Asif Ekbal. 3402-3411 [doi]
• Limbic: Author-Based Sentiment Aspect Modeling Regularized with Word Embeddings and Discourse RelationsZhe Zhang, Munindar P. Singh. 3412-3422 [doi]
• An Interpretable Neural Network with Topical Information for Relevant Emotion RankingYang Yang, Deyu Zhou, Yulan He. 3423-3432 [doi]
• Multi-grained Attention Network for Aspect-Level Sentiment ClassificationFeifan Fan, Yansong Feng, Dongyan Zhao. 3433-3442 [doi]
• Attentive Gated Lexicon Reader with Contrastive Contextual Co-Attention for Sentiment ClassificationYi Tay, Anh Tuan Luu, Siu Cheung Hui, Jian Su. 3443-3453 [doi]
• Contextual Inter-modal Attention for Multi-modal Sentiment AnalysisDeepanway Ghosal, Md. Shad Akhtar, Dushyant Chauhan, Soujanya Poria, Asif Ekbal, Pushpak Bhattacharyya. 3454-3466 [doi]
• Adaptive Semi-supervised Learning for Cross-domain Sentiment ClassificationRuidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier. 3467-3476 [doi]
• ExtRA: Extracting Prominent Review Aspects from Customer FeedbackZhiyi Luo, Shanshan Huang, Frank F. Xu, Bill Yuchen Lin, Hanyuan Shi, Kenny Q. Zhu. 3477-3486 [doi]
• Cross-Lingual Cross-Platform Rumor Verification Pivoting on Multimedia ContentWeiming Wen, Songwen Su, Zhou Yu. 3487-3496 [doi]
• Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media PostsSamuel Carton, Qiaozhu Mei, Paul Resnick. 3497-3507 [doi]
• Automatic Detection of Vague Words and Sentences in Privacy PoliciesLogan Lebanoff, Fei Liu 0004. 3508-3517 [doi]
• Multi-view Models for Political Ideology Detection of News ArticlesVivek Kulkarni, Junting Ye, Steven Skiena, William Yang Wang. 3518-3527 [doi]
• Predicting Factuality of Reporting and Bias of News Media SourcesRamy Baly, Georgi Karadzhov, Dimitar Alexandrov, James R. Glass, Preslav Nakov. 3528-3539 [doi]
• Legal Judgment Prediction via Topological LearningHaoxi Zhong, Zhipeng Guo, Cunchao Tu, Chaojun Xiao, Zhiyuan Liu 0001, Maosong Sun. 3540-3549 [doi]
• Hierarchical CVAE for Fine-Grained Hate Speech ClassificationJing Qian, Mai ElSherief, Elizabeth M. Belding, William Yang Wang. 3550-3559 [doi]
• Residualized Factor Adaptation for Community Social Media Prediction TasksMohammadzaman Zamani, H. Andrew Schwartz, Veronica E. Lynn, Salvatore Giorgi, Niranjan Balasubramanian. 3560-3569 [doi]
• Framing and Agenda-Setting in Russian News: a Computational Analysis of Intricate Political StrategiesAnjalie Field, Doron Kliger, Shuly Wintner, Jennifer Pan, Dan Jurafsky, Yulia Tsvetkov. 3570-3580 [doi]
• Identifying the narrative styles of YouTube's vloggersBennett Kleinberg, Maximilian Mozes, Isabelle van der Vegt. 3581-3590 [doi]
• Native Language Identification with User Generated ContentGili Goldin, Ella Rabinovich, Shuly Wintner. 3591-3601 [doi]
• Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also MatterLijun Wu, Xu Tan, Di He, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu. 3602-3611 [doi]
• A Study of Reinforcement Learning for Neural Machine TranslationLijun Wu, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu. 3612-3621 [doi]
• Meta-Learning for Low-Resource Neural Machine TranslationJiatao Gu, Yong Wang, Yun Chen, Victor O. K. Li, KyungHyun Cho. 3622-3631 [doi]
• Unsupervised Statistical Machine TranslationMikel Artetxe, Gorka Labaka, Eneko Agirre. 3632-3642 [doi]
• A Visual Attention Grounding Neural Model for Multimodal Machine TranslationMingyang Zhou, Runxiang Cheng, Yong Jae Lee, Zhou Yu. 3643-3653 [doi]
• Sentiment Classification towards Question-Answering with Hierarchical Matching NetworkChenlin Shen, Changlong Sun, Jingjing Wang, Yangyang Kang, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, Guodong Zhou. 3654-3663 [doi]
• Cross-topic Argument Mining from Heterogeneous SourcesChristian Stab, Tristan Miller, Benjamin Schiller, Pranav Rai, Iryna Gurevych. 3664-3674 [doi]
• Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly SupervisedStefanos Angelidis, Mirella Lapata. 3675-3686 [doi]
• CARER: Contextualized Affect Representations for Emotion RecognitionElvis Saravia, Hsien-Chi Toby Liu, Yen-Hao Huang, Junlin Wu, Yi-Shin Chen. 3687-3697 [doi]
• Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical EfficiencyZhuang Ma, Michael Collins. 3698-3707 [doi]
• CaLcs: Continuously Approximating Longest Common Subsequence for Sequence Level OptimizationSemih Yavuz, Chung-Cheng Chiu, Patrick Nguyen, Yonghui Wu. 3708-3718 [doi]
• Pathologies of Neural Models Make Interpretation DifficultShi Feng, Eric Wallace, Alvin Grissom II, Mohit Iyyer, Pedro Rodriguez, Jordan L. Boyd-Graber. 3719-3728 [doi]
• Phrase-level Self-Attention Networks for Universal Sentence EncodingWei Wu, Houfeng Wang, Tianyu Liu, Shuming Ma. 3729-3738 [doi]
• BanditSum: Extractive Summarization as a Contextual BanditYue Dong, Yikang Shen, Eric Crawford, Herke van Hoof, Jackie Chi Kit Cheung. 3739-3748 [doi]
• A Word-Complexity Lexicon and A Neural Readability Ranking Model for Lexical SimplificationMounica Maddela, Wei Xu. 3749-3760 [doi]
• Learning Latent Semantic Annotations for Grounding Natural Language to Structured DataGuanghui Qin, Jin-ge Yao, Xuening Wang, Jinpeng Wang, Chin-Yew Lin. 3761-3771 [doi]
• Syntactic Scaffolds for Semantic StructuresSwabha Swayamdipta, Sam Thomson, Kenton Lee, Luke Zettlemoyer, Chris Dyer, Noah A. Smith. 3772-3782 [doi]
• Hierarchical Quantized Representations for Script GenerationNoah Weber, Leena Shekhar, Niranjan Balasubramanian, Nate Chambers. 3783-3792 [doi]
• Semantic Role Labeling for Learner Chinese: the Importance of Syntactic Parsing and L2-L1 Parallel DataZi Lin, Yuguang Duan, Yuanyuan Zhao, Weiwei Sun, Xiaojun Wan 0001. 3793-3802 [doi]
• A Teacher-Student Framework for Maintainable Dialog ManagerWeikang Wang, Jiajun Zhang, Han Zhang, Mei-Yuh Hwang, Chengqing Zong, Zhifei Li. 3803-3812 [doi]
• Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy LearningShang-Yu Su, Xiujun Li, Jianfeng Gao, Jingjing Liu, Yun-Nung Chen. 3813-3823 [doi]
• A Self-Attentive Model with Gate Mechanism for Spoken Language UnderstandingChangliang Li, Liang Li, Ji Qi. 3824-3833 [doi]
• Learning End-to-End Goal-Oriented Dialog with Multiple AnswersJanarthanan Rajendran, Jatin Ganhotra, Satinder Singh, Lazaros Polymenakos. 3834-3843 [doi]
• AirDialogue: An Environment for Goal-Oriented Dialogue ResearchWei Wei, Quoc Le, Andrew Dai, Jia Li. 3844-3854 [doi]
• QuaSE: Sequence Editing under Quantifiable GuidanceYi Liao, Lidong Bing, Piji Li, Shuming Shi, Wai Lam, Tong Zhang. 3855-3864 [doi]
• Paraphrase Generation with Deep Reinforcement LearningZichao Li, Xin Jiang, Lifeng Shang, Hang Li. 3865-3878 [doi]
• Operation-guided Neural Networks for High Fidelity Data-To-Text GenerationFeng Nie, Jinpeng Wang, Jin-ge Yao, Rong Pan, Chin-Yew Lin. 3879-3889 [doi]
• Generating Classical Chinese Poems via Conditional Variational Autoencoder and Adversarial TrainingJuntao Li, Yan Song, Haisong Zhang, Dongmin Chen, Shuming Shi, Dongyan Zhao, Rui Yan. 3890-3900 [doi]
• Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention NetworksYao Zhao, Xiaochuan Ni, Yuanyuan Ding, Qifa Ke. 3901-3910 [doi]
• Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL TaskTao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, Zilin Zhang, Dragomir R. Radev. 3911-3921 [doi]
• Unsupervised Natural Language Generation with Denoising AutoencodersMarkus Freitag, Scott Roy. 3922-3929 [doi]
• Answer-focused and Position-aware Neural Question GenerationXingwu Sun, Jing Liu, Yajuan Lyu, Wei He, Yanjun Ma, Shi Wang. 3930-3939 [doi]
• Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text GenerationJingjing Xu, Xuancheng Ren, Junyang Lin, Xu Sun 0001. 3940-3949 [doi]
• Towards a Better Metric for Evaluating Question Generation SystemsPreksha Nema, Mitesh M. Khapra. 3950-3959 [doi]
• Stylistic Chinese Poetry Generation via Unsupervised Style DisentanglementCheng Yang, Maosong Sun, Xiaoyuan Yi, Wenhao Li. 3960-3969 [doi]
• Generating More Interesting Responses in Neural Conversation Models with Distributional ConstraintsAshutosh Baheti, Alan Ritter, Jiwei Li, Bill Dolan. 3970-3980 [doi]
• Better Conversations by Modeling, Filtering, and Optimizing for Coherence and DiversityXinnuo Xu, Ondrej Dusek, Ioannis Konstas, Verena Rieser. 3981-3991 [doi]
• Incorporating Background Knowledge into Video Description GenerationSpencer Whitehead, Heng Ji, Mohit Bansal, Shih-Fu Chang, Clare R. Voss. 3992-4001 [doi]
• Multimodal Differential Network for Visual Question GenerationBadri Narayana Patro, Sandeep Kumar, Vinod Kumar Kurmi, Vinay P. Namboodiri. 4002-4012 [doi]
• Entity-aware Image Caption GenerationDi Lu, Spencer Whitehead, Lifu Huang, Heng Ji, Shih-Fu Chang. 4013-4023 [doi]
• Learning to Describe Differences Between Pairs of Similar ImagesHarsh Jhamtani, Taylor Berg-Kirkpatrick. 4024-4034 [doi]
• Object Hallucination in Image CaptioningAnna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, Trevor Darrell, Kate Saenko. 4035-4045 [doi]
• Abstractive Text-Image Summarization Using Multi-Modal Attentional Hierarchical RNNJingqiang Chen, Hai Zhuge. 4046-4056 [doi]
• Keyphrase Generation with Correlation ConstraintsJun Chen, Xiaoming Zhang, Yu Wu 0006, Zhao Yan, Zhoujun Li. 4057-4066 [doi]
• Closed-Book Training to Improve Summarization Encoder MemoryYichen Jiang, Mohit Bansal. 4067-4077 [doi]
• Improving Neural Abstractive Document Summarization with Structural RegularizationWei Li, Xinyan Xiao, Yajuan Lyu, Yuanzhuo Wang. 4078-4087 [doi]
• Iterative Document Representation Learning Towards Summarization with PolishingXiuying Chen, Shen Gao, Chongyang Tao, Yan Song, Dongyan Zhao, Rui Yan. 4088-4097 [doi]
• Bottom-Up Abstractive SummarizationSebastian Gehrmann, Yuntian Deng, Alexander M. Rush. 4098-4109 [doi]
• Controlling Length in Abstractive Summarization Using a Convolutional Neural NetworkYizhu Liu, Zhiyi Luo, Kenny Q. Zhu. 4110-4119 [doi]
• APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement LearningYang Gao, Christian M. Meyer, Iryna Gurevych. 4120-4130 [doi]
• Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document SummarizationLogan Lebanoff, Kaiqiang Song, Fei Liu 0004. 4131-4141 [doi]
• Semi-Supervised Learning for Neural Keyphrase GenerationHai Ye, Lu Wang. 4142-4153 [doi]
• MSMO: Multimodal Summarization with Multimodal OutputJunnan Zhu, Haoran Li, Tianshang Liu, Yu Zhou 0001, Jiajun Zhang, Chengqing Zong. 4154-4164 [doi]
• Frustratingly Easy Model Ensemble for Abstractive SummarizationHayato Kobayashi. 4165-4176 [doi]
• Automatic Pyramid Evaluation Exploiting EDU-based Extractive Reference SummariesTsutomu Hirao, Hidetaka Kamigaito, Masaaki Nagata. 4177-4186 [doi]
• Learning to Encode Text as Human-Readable Summaries using Generative Adversarial NetworksYau-Shian Wang, Hung-yi Lee. 4187-4195 [doi]
• Joint Multitask Learning for Community Question Answering Using Task-Specific EmbeddingsShafiq R. Joty, Lluís Màrquez, Preslav Nakov. 4196-4207 [doi]
• What Makes Reading Comprehension Questions Easier?Saku Sugawara, Kentaro Inui, Satoshi Sekine, Akiko Aizawa. 4208-4219 [doi]
• Commonsense for Generative Multi-Hop Question Answering TasksLisa Bauer, Yicheng Wang, Mohit Bansal. 4220-4230 [doi]
• Open Domain Question Answering Using Early Fusion of Knowledge Bases and TextHaitian Sun, Bhuwan Dhingra, Manzil Zaheer, Kathryn Mazaitis, Ruslan Salakhutdinov, William W. Cohen. 4231-4242 [doi]
• A Nil-Aware Answer Extraction Framework for Question AnsweringSouvik Kundu, Hwee Tou Ng. 4243-4252 [doi]
• Exploiting Deep Representations for Neural Machine TranslationZi-Yi Dou, Zhaopeng Tu, Xing Wang, Shuming Shi, Tong Zhang. 4253-4262 [doi]
• Why Self-Attention? A Targeted Evaluation of Neural Machine Translation ArchitecturesGongbo Tang, Mathias Müller, Annette Rios, Rico Sennrich. 4263-4272 [doi]
• Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent NetworksBiao Zhang 0002, Deyi Xiong, Jinsong Su, Qian Lin, Huiji Zhang. 4273-4283 [doi]
• Speeding Up Neural Machine Translation Decoding by Cube PruningWen Zhang, Liang Huang 0001, Yang Feng, Lei Shen, Qun Liu. 4284-4294 [doi]
• Revisiting Character-Based Neural Machine Translation with Capacity and CompressionColin Cherry, George Foster, Ankur Bapna, Orhan Firat, Wolfgang Macherey. 4295-4305 [doi]
• A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story GenerationJingjing Xu, Xuancheng Ren, Yi Zhang, Qi Zeng, Xiaoyan Cai, Xu Sun 0001. 4306-4315 [doi]
• Nexus Network: Connecting the Preceding and the Following in Dialogue GenerationXiaoyu Shen, Hui Su, Wenjie Li, Dietrich Klakow. 4316-4327 [doi]
• A Neural Local Coherence Model for Text Quality AssessmentMohsen Mesgar, Michael Strube 0001. 4328-4339 [doi]
• Deep Attentive Sentence Ordering NetworkBaiyun Cui, Yingming Li, Ming Chen, Zhongfei Zhang. 4340-4349 [doi]
• Getting to "Hearer-old": Charting Referring Expressions Across TimeIeva Staliunaite, Hannah Rohde, Bonnie L. Webber, Annie Louis. 4350-4359 [doi]
• Making "fetch" happen: The influence of social and linguistic context on nonstandard word growth and declineIan Stewart, Jacob Eisenstein. 4360-4370 [doi]
• Analyzing Correlated Evolution of Multiple Features Using Latent RepresentationsYugo Murawaki. 4371-4382 [doi]
• Capturing Regional Variation with Distributed Place Representations and Geographic RetrofittingDirk Hovy, Christoph Purschke. 4383-4394 [doi]
• Characterizing Interactions and Relationships between PeopleFarzana Rashid, Eduardo Blanco 0002. 4395-4404 [doi]
• Why Swear? Analyzing and Inferring the Intentions of Vulgar ExpressionsEric Holgate, Isabel Cachola, Daniel Preotiuc-Pietro, Junyi Jessy Li. 4405-4414 [doi]
• Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasksSteffen Eger, Paul Youssef, Iryna Gurevych. 4415-4424 [doi]
• Hard Non-Monotonic Attention for Character-Level TransductionShijie Wu, Pamela Shapiro, Ryan Cotterell. 4425-4438 [doi]
• Speed Reading: Learning to Read ForBackward via ShuttleTsu-Jui Fu, Wei-Yun Ma. 4439-4448 [doi]
• Modeling Localness for Self-Attention NetworksBaosong Yang, Zhaopeng Tu, Derek F. Wong, Fandong Meng, Lidia S. Chao, Tong Zhang. 4449-4458 [doi]
• Chargrid: Towards Understanding 2D DocumentsAnoop R. Katti, Christian Reisswig, Cordula Guder, Sebastian Brarda, Steffen Bickel, Johannes Höhne, Jean Baptiste Faddoul. 4459-4469 [doi]
• Simple Recurrent Units for Highly Parallelizable RecurrenceTao Lei, Yu Zhang, Sida I. Wang, Hui Dai, Yoav Artzi. 4470-4481 [doi]
• NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information RetrievalCanjia Li, Yingfei Sun, Ben He, Le Wang, Kai Hui, Andrew Yates, Le Sun, Jungang Xu. 4482-4491 [doi]
• Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text SequencesYi Tay, Anh Tuan Luu, Siu Cheung Hui. 4492-4502 [doi]
• Spherical Latent Spaces for Stable Variational AutoencodersJiacheng Xu, Greg Durrett. 4503-4513 [doi]
• Learning Universal Sentence Representations with Mean-Max Attention AutoencoderMinghua Zhang, Yunfang Wu, Weikang Li, Wei Li. 4514-4523 [doi]
• Word Mover's Embedding: From Word2Vec to Document EmbeddingLingfei Wu, Ian En-Hsu Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin-Yu Chen, Pradeep Ravikumar, Michael J. Witbrock. 4524-4534 [doi]
• Multilingual Clustering of Streaming NewsSebastião Miranda, Arturs Znotins, Shay B. Cohen, Guntis Barzdins. 4535-4544 [doi]
• Multi-Task Label Embedding for Text ClassificationHonglun Zhang, Liqiang Xiao, Wenqing Chen, Yongkun Wang, Yaohui Jin. 4545-4553 [doi]
• Semantic-Unit-Based Dilated Convolution for Multi-Label Text ClassificationJunyang Lin, Qi Su, Pengcheng Yang, Shuming Ma, Xu Sun 0001. 4554-4564 [doi]
• MCapsNet: Capsule Network for Text with Multi-Task LearningLiqiang Xiao, Honglun Zhang, Wenqing Chen, Yongkun Wang, Yaohui Jin. 4565-4574 [doi]
• Uncertainty-aware generative models for inferring document class prevalenceKatherine A. Keith, Brendan O'Connor. 4575-4585 [doi]
• Challenges of Using Text Classifiers for Causal InferenceZach Wood-Doughty, Ilya Shpitser, Mark Dredze. 4586-4598 [doi]
• Direct Output Connection for a High-Rank Language ModelSho Takase, Jun Suzuki, Masaaki Nagata. 4599-4609 [doi]
• Disfluency Detection using Auto-Correlational Neural NetworksParia Jamshid Lou, Peter Anderson 0001, Mark Johnson 0001. 4610-4619 [doi]
• Pyramidal Recurrent Unit for Language ModelingSachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari, Hannaneh Hajishirzi. 4620-4630 [doi]
• On Tree-Based Neural Sentence ModelingHaoyue Shi, Hao Zhou, Jiaze Chen, Lei Li. 4631-4641 [doi]
• Language Modeling with Sparse Product of Sememe ExpertsYihong Gu, Jun Yan, Hao Zhu, Zhiyuan Liu 0001, Ruobing Xie, Maosong Sun, Fen Lin, Leyu Lin. 4642-4651 [doi]
• Siamese Network-Based Supervised Topic ModelingMinghui Huang, Yanghui Rao, Yuwei Liu, Haoran Xie, Fu Lee Wang. 4652-4662 [doi]
• GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic ModelQile Zhu, Zheng Feng, Xiaolin Li. 4663-4672 [doi]
• Modeling Online Discourse with Coupled Distributed TopicsAkshay Srivatsan, Zachary Wojtowicz, Taylor Berg-Kirkpatrick. 4673-4682 [doi]
• Learning Disentangled Representations of Texts with Application to Biomedical AbstractsSarthak Jain, Edward Banner, Jan-Willem van de Meent, Iain James Marshall, Byron C. Wallace. 4683-4693 [doi]
• Multi-Source Domain Adaptation with Mixture of ExpertsJiang Guo, Darsh J. Shah, Regina Barzilay. 4694-4703 [doi]
• A Neural Model of Adaptation in ReadingMarten Van Schijndel, Tal Linzen. 4704-4710 [doi]
• Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case StudyJohn Lalor, Hao Wu, Tsendsuren Munkhdalai, Hong Yu. 4711-4716 [doi]
• Lexicosyntactic inference in neural modelsAaron Steven White, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme. 4717-4724 [doi]
• Dual Fixed-Size Ordinally Forgetting Encoding (FOFE) for Competitive Neural Language ModelsSedtawut Watcharawittayakul, Mingbin Xu, Hui Jiang 0001. 4725-4730 [doi]
• The importance of Being Recurrent for Modeling Hierarchical StructureKe M. Tran, Arianna Bisazza, Christof Monz. 4731-4736 [doi]
• Joint Learning for Targeted Sentiment AnalysisDehong Ma, Sujian Li, Houfeng Wang. 4737-4742 [doi]
• Revisiting the Importance of Encoding Logic Rules in Sentiment ClassificationKalpesh Krishna, Preethi Jyothi, Mohit Iyyer. 4743-4751 [doi]
• A Co-attention Neural Network Model for Emotion Cause Analysis with Emotional Context AwarenessXiangju Li, Kaisong Song, Shi Feng, Daling Wang, Yifei Zhang. 4752-4757 [doi]
• Modeling Empathy and Distress in Reaction to News StoriesSven Buechel, Anneke Buffone, Barry Slaff, Lyle H. Ungar, João Sedoc. 4758-4765 [doi]
• Interpretable Emoji Prediction via Label-Wise Attention LSTMsFrancesco Barbieri, Luis Espinosa Anke, José Camacho-Collados, Steven Schockaert, Horacio Saggion. 4766-4771 [doi]
• A Tree-based Decoder for Neural Machine TranslationXinyi Wang, Hieu Pham, Pengcheng Yin, Graham Neubig. 4772-4777 [doi]
• Greedy Search with Probabilistic N-gram Matching for Neural Machine TranslationChenze Shao, Xilin Chen, Yang Feng. 4778-4784 [doi]
• Exploring Recombination for Efficient Decoding of Neural Machine TranslationZhisong Zhang, Rui Wang 0015, Masao Utiyama, Eiichiro Sumita, Hai Zhao. 4785-4790 [doi]
• Has Machine Translation Achieved Human Parity? A Case for Document-level EvaluationSamuel Läubli, Rico Sennrich, Martin Volk 0001. 4791-4796 [doi]
• Automatic Reference-Based Evaluation of Pronoun Translation Misses the PointLiane Guillou, Christian Hardmeier. 4797-4802 [doi]
• FewRel: A Large-Scale Supervised Few-shot Relation Classification Dataset with State-of-the-Art EvaluationXu Han, Hao Zhu, Pengfei Yu, Ziyun Wang, Yuan Yao, Zhiyuan Liu 0001, Maosong Sun. 4803-4809 [doi]
• A strong baseline for question relevancy rankingAna Gonzalez, Isabelle Augenstein, Anders Søgaard. 4810-4815 [doi]
• Learning Sequence Encoders for Temporal Knowledge Graph CompletionAlberto García-Durán, Sebastijan Dumancic, Mathias Niepert. 4816-4821 [doi]
• Similar but not the Same - Word Sense Disambiguation Improves Event Detection via Neural Representation MatchingWeiyi Lu, Thien Huu Nguyen. 4822-4828 [doi]
• Learning Word Representations with Cross-Sentence Dependencyfor End-to-End Co-reference ResolutionHongyin Luo, Jim Glass. 4829-4833 [doi]
• Word Relation Autoencoder for Unseen Hypernym Extraction Using Word EmbeddingsHong-You Chen, Cheng-Syuan Lee, Keng-Te Liao, Shou-de Lin. 4834-4839 [doi]
• Refining Pretrained Word Embeddings Using Layer-wise Relevance PropagationAkira Utsumi. 4840-4846 [doi]
• Learning Gender-Neutral Word EmbeddingsJieyu Zhao, Yichao Zhou, ZeYu Li, Wei Wang, Kai-Wei Chang. 4847-4853 [doi]
• Learning Concept Abstractness Using Weak SupervisionElla Rabinovich, Benjamin Sznajder, Artem Spector, Ilya Shnayderman, Ranit Aharonov, David Konopnicki, Noam Slonim. 4854-4859 [doi]
• Word Sense Induction with Neural biLM and Symmetric PatternsAsaf Amrami, Yoav Goldberg. 4860-4867 [doi]
• InferLite: Simple Universal Sentence Representations from Natural Language Inference DataJamie Kiros, William Chan. 4868-4874 [doi]
• Similarity-Based Reconstruction Loss for Meaning RepresentationOlga Kovaleva, Anna Rumshisky, Alexey Romanov. 4875-4880 [doi]
• What can we learn from Semantic Tagging?Mostafa Abdou, Artur Kulmizev, Vinit Ravishankar, Lasha Abzianidze, Johan Bos. 4881-4889 [doi]
• Conditional Word Embedding and Hypothesis Testing via Bayes-by-BackpropRujun Han, Michael Gill, Arthur Spirling, KyungHyun Cho. 4890-4895 [doi]
• Classifying Referential and Non-referential It Using GazeVictoria Yaneva, Le An Ha, Richard Evans, Ruslan Mitkov. 4896-4901 [doi]
• State-of-the-art Chinese Word Segmentation with Bi-LSTMsJi Ma, Kuzman Ganchev, David Weiss. 4902-4908 [doi]
• Sanskrit Sandhi Splitting using seq2(seq)2Rahul Aralikatte, Neelamadhav Gantayat, Naveen Panwar, Anush Sankaran, Senthil Mani. 4909-4914 [doi]
• Unsupervised Neural Word Segmentation for Chinese via Segmental Language ModelingZhiqing Sun, Zhi-Hong Deng. 4915-4920 [doi]
• LemmaTag: Jointly Tagging and Lemmatizing for Morphologically Rich Languages with BRNNsDaniel Kondratyuk, Tomás Gavenciak, Milan Straka, Jan Hajic. 4921-4928 [doi]
• Recovering Missing Characters in Old Hawaiian WritingBrendan Shillingford, Oiwi Parker Jones. 4929-4934 [doi]
• When data permutations are pathological: the case of neural natural language inferenceNatalie Schluter, Daniel Varab. 4935-4939 [doi]
• Bridging Knowledge Gaps in Neural Entailment via Symbolic ModelsDongyeop Kang, Tushar Khot, Ashish Sabharwal, Peter Clark. 4940-4945 [doi]
• The BQ Corpus: A Large-scale Domain-specific Chinese Corpus For Sentence Semantic Equivalence IdentificationJing Chen, Qingcai Chen, Xin Liu, Haijun Yang, Daohe Lu, Buzhou Tang. 4946-4951 [doi]
• Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language InferenceReza Ghaeini, Xiaoli Z. Fern, Prasad Tadepalli. 4952-4957 [doi]
• Towards Semi-Supervised Learning for Deep Semantic Role LabelingSanket Vaibhav Mehta, Jay Yoon Lee, Jaime G. Carbonell. 4958-4963 [doi]
• Identifying Domain Adjacent Instances for Semantic ParsersJames Ferguson, Janara Christensen, Edward Li, Edgar Gonzàlez. 4964-4969 [doi]
• Mapping natural language commands to web elementsPanupong Pasupat, Tian-Shun Jiang, Evan Zheran Liu, Kelvin Guu, Percy Liang. 4970-4976 [doi]
• Wronging a Right: Generating Better Errors to Improve Grammatical Error DetectionSudhanshu Kasewa, Pontus Stenetorp, Sebastian Riedel 0001. 4977-4983 [doi]
• Modeling Input Uncertainty in Neural Network Dependency ParsingRob van der Goot, Gertjan van Noord. 4984-4991 [doi]
• Parameter sharing between dependency parsers for related languagesMiryam de Lhoneux, Johannes Bjerva, Isabelle Augenstein, Anders Søgaard. 4992-4997 [doi]
• Grammar Induction with Neural Language Models: An Unusual ReplicationPhu Mon Htut, KyungHyun Cho, Samuel R. Bowman. 4998-5003 [doi]
• Data Augmentation via Dependency Tree Morphing for Low-Resource LanguagesGözde Gül Sahin, Mark Steedman. 5004-5009 [doi]
• How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular BenchmarksDivyansh Kaushik, Zachary C. Lipton. 5010-5015 [doi]
• MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue ModellingPawel Budzianowski, Tsung-Hsien Wen, Bo-Hsiang Tseng, Iñigo Casanueva, Stefan Ultes, Osman Ramadan, Milica Gasic. 5016-5026 [doi]
• Linguistically-Informed Self-Attention for Semantic Role LabelingEmma Strubell, Patrick Verga, Daniel Andor, David Weiss, Andrew McCallum. 5027-5038 [doi]
• Phrase-Based & Neural Unsupervised Machine TranslationGuillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato. 5039-5049 [doi]