Abstract is missing.
- Probabilistic FastText for Multi-Sense Word EmbeddingsBen Athiwaratkun, Andrew Gordon Wilson, Anima Anandkumar. 1-11 [doi]
- A La Carte Embedding: Cheap but Effective Induction of Semantic Feature VectorsSanjeev Arora, Yingyu Liang, Tengyu Ma, Mikhail Khodak, Nikunj Saunshi, Brandon Stewart. 12-22 [doi]
- Unsupervised Learning of Distributional Relation VectorsShoaib Jameel, Zied Bouraoui, Steven Schockaert. 23-33 [doi]
- Explicit Retrofitting of Distributional Word VectorsIvan Vulic, Goran Glavas. 34-45 [doi]
- Unsupervised Neural Machine Translation with Weight SharingBo Xu, Zhen Yang, Wei Chen, Feng Wang 0023. 46-55 [doi]
- Triangular Architecture for Rare Language TranslationMing Zhou 0001, Shujie Liu 0001, Mu Li, Shuo Ren, Wenhu Chen, Shuai Ma. 56-65 [doi]
- Subword Regularization: Improving Neural Network Translation Models with Multiple Subword CandidatesTaku Kudo. 66-75 [doi]
- The Best of Both Worlds: Combining Recent Advances in Neural Machine TranslationGeorge Foster, Ashish Vaswani, Jakob Uszkoreit, Wolfgang Macherey, Lukasz Kaiser, Orhan Firat, Llion Jones, Noam Shazeer, Yonghui Wu, Ankur Bapna, Melvin Johnson, Mike Schuster, Zhifeng Chen, Macduff Hughes, Niki Parmar, Mia Xu Chen. 76-86 [doi]
- Ultra-Fine Entity TypingOmer Levy, Luke Zettlemoyer, Yejin Choi, Eunsol Choi. 87-96 [doi]
- Hierarchical Losses and New Resources for Fine-grained Entity Typing and LinkingAndrew McCallum, Patrick Verga, Luke Vilnis, Shikhar Murty, Irena Radovanovic. 97-109 [doi]
- Improving Knowledge Graph Embedding Using Simple ConstraintsBoyang Ding, Quan Wang 0002, Bin Wang 0004, Li Guo 0001. 110-121 [doi]
- Towards Understanding the Geometry of Knowledge Graph EmbeddingsPartha P. Talukdar, Aditya Sharma, Chandrahas. 122-131 [doi]
- A Unified Model for Extractive and Abstractive Summarization using Inconsistency LossMin Sun, Wan Ting Hsu, Chieh-Kai Lin, Ming-Ying Lee, Kerui Min, Jing Tang. 132-141 [doi]
- Extractive Summarization with SWAP-NET: Sentences and Words from Alternating Pointer NetworksAishwarya Jadhav, Vaibhav Rajan. 142-151 [doi]
- Retrieve, Rerank and Rewrite: Soft Template Based Neural SummarizationWenjie Li, Furu Wei, Sujian Li, Ziqiang Cao. 152-161 [doi]
- Simple and Effective Text Simplification Using Semantic and Neural MethodsOmri Abend, Ari Rappoport, Elior Sulem. 162-173 [doi]
- Obtaining Reliable Human Ratings of Valence, Arousal, and Dominance for 20, 000 English WordsSaif Mohammad. 174-184 [doi]
- Comprehensive Supersense Disambiguation of English Prepositions and PossessivesOmri Abend, Nathan Schneider, Vivek Srikumar, Jena D. Hwang, Jakob Prange, Austin Blodgett, Sarah R. Moeller, Aviram Stern, Adi Bitan. 185-196 [doi]
- A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical LiteratureAni Nenkova, Junyi Jessy Li, Yinfei Yang, Iain James Marshall, Byron C. Wallace, Benjamin Nye, Roma Patel. 197-207 [doi]
- Efficient Online Scalar Annotation with Bounded SupportBenjamin Van Durme, Keisuke Sakaguchi. 208-218 [doi]
- Neural Argument Generation Augmented with Externally Retrieved EvidenceLu Wang, Xinyu Hua. 219-230 [doi]
- A Stylometric Inquiry into Hyperpartisan and Fake NewsBenno Stein, Martin Potthast, Johannes Kiesel, Janek Bevendorff, Kevin Reinartz. 231-240 [doi]
- Retrieval of the Best Counterargument without Prior Topic KnowledgeHenning Wachsmuth, Shahbaz Syed, Benno Stein. 241-251 [doi]
- LinkNBed: Multi-Graph Representation Learning with Entity LinkageChristos Faloutsos, Rakshit Trivedi, Bunyamin Sisman, Xin Luna Dong, Jun Ma, Hongyuan Zha. 252-262 [doi]
- Probabilistic Embedding of Knowledge Graphs with Box Lattice MeasuresAndrew McCallum, Luke Vilnis, Xiang Li, Shikhar Murty. 263-272 [doi]
- Graph-to-Sequence Learning using Gated Graph Neural NetworksTrevor Cohn, Gholamreza Haffari, Daniel Beck. 273-283 [doi]
- Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use ContextDan Jurafsky, He He, Peng Qi 0003, Urvashi Khandelwal. 284-294 [doi]
- Bridging CNNs, RNNs, and Weighted Finite-State MachinesNoah A. Smith, Roy Schwartz, Sam Thomson. 295-305 [doi]
- Zero-shot Learning of Classifiers from Natural Language QuantificationTom M. Mitchell, Shashank Srivastava, Igor Labutov. 306-316 [doi]
- Sentence-State LSTM for Text RepresentationYue Zhang, Qi Liu, Linfeng Song. 317-327 [doi]
- Universal Language Model Fine-tuning for Text ClassificationSebastian Ruder, Jeremy Howard. 328-339 [doi]
- Evaluating neural network explanation methods using hybrid documents and morphosyntactic agreementHinrich Schütze, Benjamin Roth, Nina Pörner. 340-350 [doi]
- Improving Text-to-SQL Evaluation MethodologyDragomir R. Radev, Jonathan K. Kummerfeld, Li Zhang, Rui Zhang, Catherine Finegan-Dollak, Karthik Ramanathan, Sesh Sadasivam. 351-360 [doi]
- Semantic Parsing with Syntax- and Table-Aware SQL GenerationMing Zhou 0001, Guihong Cao, Ting Liu 0001, Nan Duan, Duyu Tang, Bing Qin 0001, Xiaocheng Feng, Jianshu Ji, Yibo Sun. 361-372 [doi]
- Multitask Parsing Across Semantic RepresentationsOmri Abend, Ari Rappoport, Daniel Hershcovich. 373-385 [doi]
- Character-Level Models versus Morphology in Semantic Role LabelingMark Steedman, Gözde Gül Sahin. 386-396 [doi]
- AMR Parsing as Graph Prediction with Latent AlignmentIvan Titov, Chunchuan Lyu. 397-407 [doi]
- Accurate SHRG-Based Semantic ParsingWeiwei Sun, Xiaojun Wan 0001, Yufei Chen. 408-418 [doi]
- Using Intermediate Representations to Solve Math Word ProblemsChin-Yew Lin, Danqing Huang, Jian Yin, Qingyu Zhou, Jin-ge Yao. 419-428 [doi]
- Discourse Representation Structure ParsingMirella Lapata, Shay B. Cohen, Jiangming Liu. 429-439 [doi]
- Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling MechanismsRicardo Henao, Chunyuan Li, Lawrence Carin, Qinliang Su, Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Yizhe Zhang. 440-450 [doi]
- ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine TranslationsKevin Gimpel, John Wieting. 451-462 [doi]
- Event2Mind: Commonsense Inference on Events, Intents, and ReactionsNoah A. Smith, Yejin Choi, Maarten Sap, Hannah Rashkin, Emily Allaway. 463-473 [doi]
- Neural Adversarial Training for Semi-supervised Japanese Predicate-argument Structure AnalysisSadao Kurohashi, Daisuke Kawahara, Shuhei Kurita. 474-484 [doi]
- Improving Event Coreference Resolution by Modeling Correlations between Event Coreference Chains and Document Topic StructuresRuihong Huang, Prafulla Kumar Choubey. 485-495 [doi]
- DSGAN: Generative Adversarial Training for Distant Supervision Relation ExtractionWilliam Yang Wang, Weiran Xu, Pengda Qin. 496-505 [doi]
- Extracting Relational Facts by an End-to-End Neural Model with Copy MechanismKang Liu 0001, Jun Zhao 0001, Daojian Zeng, Shizhu He, Xiangrong Zeng. 506-514 [doi]
- Self-regulation: Employing a Generative Adversarial Network to Improve Event DetectionGuodong Zhou, Qiaoming Zhu, Yu Hong, Wenxuan Zhou. 515-526 [doi]
- Context-Aware Neural Model for Temporal Information ExtractionAnna Rumshisky, Yuanliang Meng. 527-536 [doi]
- Temporal Event Knowledge Acquisition via Identifying NarrativesRuihong Huang, Wenlin Yao. 537-547 [doi]
- Textual Deconvolution Saliency (TDS) : a deep tool box for linguistic analysisLaurent Vanni, Mélanie Ducoffe, Carlos Aguilar, Frédéric Precioso, Damon Mayaffre. 548-557 [doi]
- Coherence Modeling of Asynchronous Conversations: A Neural Entity Grid ApproachShafiq R. Joty, Dat Tien Nguyen, Muhammad Tasnim Mohiuddin. 558-568 [doi]
- Deep Reinforcement Learning for Chinese Zero Pronoun ResolutionTing Liu 0001, William Yang Wang, Yu Zhang, Qingyu Yin, Weinan Zhang. 569-578 [doi]
- Entity-Centric Joint Modeling of Japanese Coreference Resolution and Predicate Argument Structure AnalysisSadao Kurohashi, Tomohide Shibata. 579-589 [doi]
- Constraining MGbank: Agreement, L-Selection and Supertagging in Minimalist GrammarsJohn Torr. 590-600 [doi]
- Not that much power: Linguistic alignment is influenced more by low-level linguistic features rather than social powerDavid Reitter, Yang Xu, Jeremy R. Cole. 601-610 [doi]
- TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource RecommendationDragomir R. Radev, Alexander R. Fabbri, Irene Li, Prawat Trairatvorakul, Yijiao He, Wei Tai Ting, Robert Tung, Caitlin Westerfield. 611-620 [doi]
- Give Me More Feedback: Annotating Argument Persuasiveness and Related Attributes in Student EssaysVincent Ng, Winston Carlile, Nishant Gurrapadi, Zixuan Ke. 621-631 [doi]
- Inherent Biases in Reference-based Evaluation for Grammatical Error CorrectionOmri Abend, Leshem Choshen. 632-642 [doi]
- The price of debiasing automatic metrics in natural language evalautionPercy Liang, Arun Tejasvi Chaganty, Stephen Mussmann. 643-653 [doi]
- Neural Document Summarization by Jointly Learning to Score and Select SentencesTiejun Zhao, Ming Zhou 0001, Furu Wei, Nan Yang 0002, Shaohan Huang, Qingyu Zhou. 654-663 [doi]
- Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular MaximizationMichalis Vazirgiannis, Antoine J.-P. Tixier, Polykarpos Meladianos, Guokan Shang, Wensi Ding, Zekun Zhang, Jean-Pierre Lorré. 664-674 [doi]
- Fast Abstractive Summarization with Reinforce-Selected Sentence RewritingMohit Bansal, Yen-Chun Chen. 675-686 [doi]
- Soft Layer-Specific Multi-Task Summarization with Entailment and Question GenerationMohit Bansal, Ramakanth Pasunuru, Han Guo. 687-697 [doi]
- Modeling and Prediction of Online Product Review Helpfulness: A SurveyVincent Ng, Gerardo Ocampo Diaz. 698-708 [doi]
- Mining Cross-Cultural Differences and Similarities in Social MediaBill Y. Lin, Frank F. Xu, Kenny Q. Zhu, Seung-won Hwang. 709-719 [doi]
- Classification of Moral Foundations in Microblog Political DiscourseKristen Johnson, Dan Goldwasser. 720-730 [doi]
- Coarse-to-Fine Decoding for Neural Semantic ParsingMirella Lapata, Li Dong 0004. 731-742 [doi]
- Confidence Modeling for Neural Semantic ParsingChris Quirk, Mirella Lapata, Li Dong 0004. 743-753 [doi]
- StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic ParsingGraham Neubig, Chunting Zhou, Pengcheng Yin, Junxian He. 754-765 [doi]
- Sequence-to-Action: End-to-End Semantic Graph Generation for Semantic ParsingLe Sun, Xianpei Han, Bo Chen. 766-777 [doi]
- On the Limitations of Unsupervised Bilingual Dictionary InductionAnders Søgaard, Ivan Vulic, Sebastian Ruder. 778-788 [doi]
- A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddingsEneko Agirre, Gorka Labaka, Mikel Artetxe. 789-798 [doi]
- A Multi-lingual Multi-task Architecture for Low-resource Sequence LabelingVeselin Stoyanov, Heng Ji, Ying Lin, Shengqi Yang. 799-809 [doi]
- Two Methods for Domain Adaptation of Bilingual Tasks: Delightfully Simple and Broadly ApplicableHinrich Schütze, Fabienne Braune, Alexander M. Fraser, Viktor Hangya. 810-820 [doi]
- Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense KnowledgeAnette Frank, Todor Mihaylov. 821-832 [doi]
- Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated WorldsBishan Yang, Igor Labutov, Anusha Prakash, Amos Azaria. 833-844 [doi]
- Simple and Effective Multi-Paragraph Reading ComprehensionMatt Gardner 0001, Christopher Clark. 845-855 [doi]
- Semantically Equivalent Adversarial Rules for Debugging NLP modelsSameer Singh 0001, Carlos Guestrin, Marco Túlio Ribeiro. 856-865 [doi]
- Style Transfer Through Back-TranslationYulia Tsvetkov, Alan W. Black, Ruslan Salakhutdinov, Shrimai Prabhumoye. 866-876 [doi]
- Generating Fine-Grained Open Vocabulary Entity Type DescriptionsGerard de Melo, Rajarshi Bhowmik. 877-888 [doi]
- Hierarchical Neural Story GenerationMike Lewis, Yann Dauphin, Angela Fan. 889-898 [doi]
- No Metrics Are Perfect: Adversarial Reward Learning for Visual StorytellingWilliam Yang Wang, Xin Wang, Wenhu Chen, Yuan-Fang Wang. 899-909 [doi]
- Bridging Languages through Images with Deep Partial Canonical Correlation AnalysisRoi Reichart, Ivan Vulic, Guy Rotman. 910-921 [doi]
- Illustrative Language Understanding: Large-Scale Visual Grounding with Image SearchJamie Kiros, William Chan, Geoffrey E. Hinton. 922-933 [doi]
- What Action Causes This? Towards Naive Physical Action-Effect PredictionLucy Vanderwende, Joyce Yue Chai, Shaohua Yang, Qiaozi Gao. 934-945 [doi]
- Transformation Networks for Target-Oriented Sentiment ClassificationWai Lam, Xin Li, Bei Shi, Lidong Bing. 946-956 [doi]
- Target-Sensitive Memory Networks for Aspect Sentiment ClassificationBing Liu 0001, Yi Chang, Shuai Wang, Sahisnu Mazumder, Mianwei Zhou. 957-967 [doi]
- Identifying Transferable Information Across Domains for Cross-domain Sentiment ClassificationPushpak Bhattacharyya, Sandipan Dandapat, Raksha Sharma, Himanshu Sharad Bhatt. 968-978 [doi]
- Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning ApproachJingjing Xu, Xu Sun 0001, Qi Zeng, Xiaodong Zhang, Xuancheng Ren, Houfeng Wang, Wenjie Li. 979-988 [doi]
- Discourse Marker Augmented Network with Reinforcement Learning for Natural Language InferenceBoyuan Pan, Yazheng Yang, Zhou Zhao, Yueting Zhuang, Deng Cai, Xiaofei He. 989-999 [doi]
- Working Memory Networks: Augmenting Memory Networks with a Relational Reasoning ModuleJuan Pavez, Héctor Allende, Héctor Allende-Cid. 1000-1009 [doi]
- Reasoning with Sarcasm by Reading In-BetweenJian Su, Yi Tay, Siu Cheung Hui, Anh Tuan Luu. 1010-1020 [doi]
- Adversarial Contrastive EstimationAvishek Joey Bose, Huan Ling, Yanshuai Cao. 1021-1032 [doi]
- Adaptive Scaling for Sparse Detection in Information ExtractionLe Sun, Xianpei Han, Yaojie Lu, Hongyu Lin. 1033-1043 [doi]
- Strong Baselines for Neural Semi-Supervised Learning under Domain ShiftBarbara Plank, Sebastian Ruder. 1044-1054 [doi]
- Fluency Boost Learning and Inference for Neural Grammatical Error CorrectionMing Zhou 0001, Furu Wei, Tao Ge. 1055-1065 [doi]
- A Neural Architecture for Automated ICD CodingPengtao Xie, Haoran Shi, Ming Zhang 0004, Eric P. Xing. 1066-1076 [doi]
- Domain Adaptation with Adversarial Training and Graph EmbeddingsShafiq R. Joty, Firoj Alam, Muhammad Imran 0002. 1077-1087 [doi]
- TDNN: A Two-stage Deep Neural Network for Prompt-independent Automated Essay ScoringLe Sun, Ben He, Kai Hui, Cancan Jin. 1088-1097 [doi]
- Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog GenerationMaxine Eskénazi, Kyusong Lee, Tiancheng Zhao. 1098-1107 [doi]
- Learning to Control the Specificity in Neural Response GenerationXueqi Cheng, Jun Xu 0001, Jiafeng Guo, Yanyan Lan, Ruqing Zhang, Yixing Fan. 1108-1117 [doi]
- Multi-Turn Response Selection for Chatbots with Deep Attention Matching NetworkHua Wu 0003, Yi Liu, Ying Chen, Wayne Xin Zhao, Daxiang Dong, Dianhai Yu, Xiangyang Zhou, Lu Li. 1118-1127 [doi]
- MojiTalk: Generating Emotional Responses at ScaleWilliam Yang Wang, Xianda Zhou. 1128-1137 [doi]
- Taylor's law for Human Linguistic SequencesKumiko Tanaka-Ishii, Tatsuru Kobayashi. 1138-1148 [doi]
- A Framework for Representing Language Acquisition in a Population SettingJordan Kodner, Christopher Cerezo Falco. 1149-1159 [doi]
- Prefix Lexicalization of Synchronous CFGs using Synchronous TAGAnoop Sarkar, Logan Born. 1160-1170 [doi]
- Straight to the Tree: Constituency Parsing with Neural Syntactic DistanceYoshua Bengio, Alessandro Sordoni, Aaron C. Courville, Athul Paul Jacob, Zhouhan Lin, Yikang Shen. 1171-1180 [doi]
- Gaussian Mixture Latent Vector GrammarsKewei Tu, Yanpeng Zhao, Liwen Zhang. 1181-1189 [doi]
- Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated ExamplesMark Hopkins, Vidur Joshi, Matthew Peters. 1190-1199 [doi]
- Paraphrase to Explicate: Revealing Implicit Noun-Compound RelationsIdo Dagan, Vered Shwartz. 1200-1211 [doi]
- Searching for the X-Factor: Exploring Corpus Subjectivity for Word EmbeddingsMaksim Tkachenko, Chong Cher Chia, Hady W. Lauw. 1212-1221 [doi]
- Word Embedding and WordNet Based Metaphor Identification and InterpretationChenghua Lin, Frank Guerin, Rui Mao. 1222-1231 [doi]
- Incorporating Latent Meanings of Morphological Compositions to Enhance Word EmbeddingsWei Yang 0011, Jiawei Liu, Yang Xu, Liusheng Huang. 1232-1242 [doi]
- A Stochastic Decoder for Neural Machine TranslationTrevor Cohn, Philip Schulz, Wilker Aziz. 1243-1252 [doi]
- Forest-Based Neural Machine TranslationEiichiro Sumita, Masao Utiyama, Tiejun Zhao, Akihiro Tamura, Chunpeng Ma. 1253-1263 [doi]
- Context-Aware Neural Machine Translation Learns Anaphora ResolutionIvan Titov, Rico Sennrich, Pavel Serdyukov, Elena Voita. 1264-1274 [doi]
- Document Context Neural Machine Translation with Memory NetworksGholamreza Haffari, Sameen Maruf. 1275-1284 [doi]
- Which Melbourne? Augmenting Geocoding with MapsNigel Collier, Mohammad Taher Pilehvar, Milan Gritta. 1285-1296 [doi]
- Learning Prototypical Goal Activities for LocationsEllen Riloff, Tianyu Jiang. 1297-1307 [doi]
- Guess Me if You Can: Acronym Disambiguation for EnterprisesYang Li, Fangbo Tao, Ariel Fuxman, Bo Zhao 0001. 1308-1317 [doi]
- A Multi-Axis Annotation Scheme for Event Temporal RelationsDan Roth, Hao Wu, Qiang Ning. 1318-1328 [doi]
- Exemplar Encoder-Decoder for Neural Conversation GenerationDanish Contractor, Vineet Kumar, Sachindra Joshi, Gaurav Pandey. 1329-1338 [doi]
- DialSQL: Dialogue Based Structured Query GenerationIzzeddin Gur, Semih Yavuz, Yu Su 0001, Xifeng Yan. 1339-1349 [doi]
- Conversations Gone Awry: Detecting Early Signs of Conversational FailureCristian Danescu-Niculescu-Mizil, Justine Zhang, Jonathan P. Chang, Lucas Dixon, Yiqing Hua, Dario Taraborelli, Nithum Thain. 1350-1361 [doi]
- Are BLEU and Meaning Representation in Opposition?Ondrej Bojar, Ondrej Cífka. 1362-1371 [doi]
- Automatic Metric Validation for Grammatical Error CorrectionOmri Abend, Leshem Choshen. 1372-1382 [doi]
- The Hitchhiker's Guide to Testing Statistical Significance in Natural Language ProcessingRoi Reichart, Rotem Dror, Gili Baumer, Segev Shlomov. 1383-1392 [doi]
- Distilling Knowledge for Search-based Structured PredictionTing Liu 0001, Wanxiang Che, Bing Qin 0001, Yijia Liu, Huaipeng Zhao. 1393-1402 [doi]
- Stack-Pointer Networks for Dependency ParsingEduard H. Hovy, Xuezhe Ma, Graham Neubig, Nanyun Peng, Zecong Hu, Jingzhou Liu. 1403-1414 [doi]
- Twitter Universal Dependency Parsing for African-American and Mainstream American EnglishBrendan T. O'Connor, Su Lin Blodgett, Johnny Wei. 1415-1425 [doi]
- LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them BetterStephen Clark, Chris Dyer, Phil Blunsom, Dani Yogatama, Adhiguna Kuncoro, John Hale. 1426-1436 [doi]
- Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence ArchitecturesMin-Yen Kan, Xiangnan He 0001, Wenqiang Lei, Xisen Jin, Zhaochun Ren, Dawei Yin. 1437-1447 [doi]
- An End-to-end Approach for Handling Unknown Slot Values in Dialogue State TrackingPuyang Xu, Qi Hu. 1448-1457 [doi]
- Global-Locally Self-Attentive Encoder for Dialogue State TrackingRichard Socher, Victor Zhong, Caiming Xiong. 1458-1467 [doi]
- Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog SystemsPascale Fung, Chien-Sheng Wu, Andrea Madotto. 1468-1478 [doi]
- Tailored Sequence to Sequence Models to Different Conversation ScenariosXueqi Cheng, Jun Xu 0001, Jiafeng Guo, Yanyan Lan, Hainan Zhang. 1479-1488 [doi]
- Knowledge Diffusion for Neural Dialogue GenerationQun Liu, Yang Feng, Hongshen Chen, Zhaochun Ren, Dawei Yin, Shuman Liu. 1489-1498 [doi]
- Generating Informative Responses with Controlled Sentence FunctionMinlie Huang, Pei Ke, Jian Guan, Xiaoyan Zhu. 1499-1508 [doi]
- Sentiment Adaptive End-to-End Dialog SystemsZhou Yu, Weiyan Shi. 1509-1519 [doi]
- Embedding Learning Through Multilingual Concept InductionPhilipp Dufter, Mengjie Zhao, Martin Schmitt, Alexander M. Fraser, Hinrich Schütze. 1520-1530 [doi]
- Isomorphic Transfer of Syntactic Structures in Cross-Lingual NLPRoi Reichart, Anna Korhonen, Ivan Vulic, Edoardo Maria Ponti. 1531-1542 [doi]
- Language Modeling for Code-Mixing: The Role of Linguistic Theory based Synthetic DataAdithya Pratapa, Gayatri Bhat, Monojit Choudhury, Sunayana Sitaram, Sandipan Dandapat, Kalika Bali. 1543-1553 [doi]
- Chinese NER Using Lattice LSTMYue Zhang, Jie Yang. 1554-1564 [doi]
- Nugget Proposal Networks for Chinese Event DetectionLe Sun, Xianpei Han, Yaojie Lu, Hongyu Lin. 1565-1574 [doi]
- Higher-order Relation Schema Induction using Tensor Factorization with Back-off and AggregationManish Gupta, Partha P. Talukdar, Madhav Nimishakavi. 1575-1584 [doi]
- Discovering Implicit Knowledge with Unary RelationsAlfio Gliozzo, Michael Glass. 1585-1594 [doi]
- Improving Entity Linking by Modeling Latent Relations between MentionsIvan Titov, Phong Le. 1595-1604 [doi]
- Dating Documents using Graph Convolution NetworksPartha Talukdar, Shikhar Vashishth, Shib Sankar Dasgupta, Swayambhu Nath Ray. 1605-1615 [doi]
- A Graph-to-Sequence Model for AMR-to-Text GenerationDaniel Gildea, Zhiguo Wang, Yue Zhang, Linfeng Song. 1616-1626 [doi]
- GTR-LSTM: A Triple Encoder for Sentence Generation from RDF DataWei Wang 0011, Rui Zhang, Jianzhong Qi, Bayu Distiawan Trisedya. 1627-1637 [doi]
- Learning to Write with Cooperative DiscriminatorsYejin Choi, Jan Buys, David Golub, Ari Holtzman, Antoine Bosselut, Maxwell Forbes. 1638-1649 [doi]
- A Neural Approach to Pun GenerationXiaojun Wan 0001, Jiwei Tan, Zhiwei Yu. 1650-1660 [doi]
- Learning to Generate Move-by-Move Commentary for Chess Games from Large-Scale Social Forum DataEduard H. Hovy, Graham Neubig, Taylor Berg-Kirkpatrick, Varun Gangal, Harsh Jhamtani. 1661-1671 [doi]
- From Credit Assignment to Entropy Regularization: Two New Algorithms for Neural Sequence PredictionEduard H. Hovy, Qizhe Xie, Zihang Dai. 1672-1682 [doi]
- DuoRC: Towards Complex Language Understanding with Paraphrased Reading ComprehensionMitesh M. Khapra, Amrita Saha, Karthik Sankaranarayanan, Rahul Aralikatte. 1683-1693 [doi]
- Stochastic Answer Networks for Machine Reading ComprehensionJianfeng Gao, Kevin Duh, Xiaodong Liu, Yelong Shen. 1694-1704 [doi]
- Multi-Granularity Hierarchical Attention Fusion Networks for Reading Comprehension and Question AnsweringWei Wang, Chen Wu, Ming Yan. 1705-1714 [doi]
- Joint Training of Candidate Extraction and Answer Selection for Reading ComprehensionXinyan Xiao, Zhen Wang, Yajuan Lyu, Tian Wu, Jiachen Liu. 1715-1724 [doi]
- Efficient and Robust Question Answering from Minimal Context over DocumentsRichard Socher, Victor Zhong, Caiming Xiong, Sewon Min. 1725-1735 [doi]
- Denoising Distantly Supervised Open-Domain Question AnsweringMaosong Sun, Zhiyuan Liu 0001, Yankai Lin, Haozhe Ji. 1736-1745 [doi]
- Question Condensing Networks for Answer Selection in Community Question AnsweringWei Wu, Houfeng Wang, Xu Sun 0001. 1746-1755 [doi]
- Towards Robust Neural Machine TranslationYang Liu 0005, Zhaopeng Tu, Fandong Meng, Yong Cheng, Junjie Zhai. 1756-1766 [doi]
- Attention Focusing for Neural Machine Translation by Bridging Source and Target EmbeddingsDeyi Xiong, Junhui Li, António Branco, Shaohui Kuang, Weihua Luo. 1767-1776 [doi]
- Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement LearningStefan Riezler, Julia Kreutzer, Joshua Uyheng. 1777-1788 [doi]
- Accelerating Neural Transformer via an Average Attention NetworkDeyi Xiong, Biao Zhang 0002, Jinsong Su. 1789-1798 [doi]
- How Much Attention Do You Need? A Granular Analysis of Neural Machine Translation ArchitecturesTobias Domhan. 1799-1808 [doi]
- Weakly Supervised Semantic Parsing with Abstract ExamplesJonathan Berant, Amir Globerson, Omer Goldman, Veronica Latcinnik, Ehud Nave. 1809-1819 [doi]
- Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit FeedbackStefan Riezler, Carolin Lawrence. 1820-1830 [doi]
- AMR dependency parsing with a typed semantic algebraMark Johnson, Alexander Koller, Jonas Groschwitz, Meaghan Fowlie, Matthias Lindemann. 1831-1841 [doi]
- Sequence-to-sequence Models for Cache Transition SystemsGiorgio Satta, Daniel Gildea, Linfeng Song, Xiaochang Peng. 1842-1852 [doi]
- Batch IS NOT Heavy: Learning Word Representations From All SamplesXiangnan He 0001, Xin Xin, Fajie Yuan, Joemon M. Jose. 1853-1862 [doi]
- Backpropagating through Structured Argmax using a SPIGOTNoah A. Smith, Hao Peng, Sam Thomson. 1863-1873 [doi]
- Learning How to Actively Learn: A Deep Imitation Learning ApproachGholamreza Haffari, Ming Liu, Wray L. Buntine. 1874-1883 [doi]
- Training Classifiers with Natural Language ExplanationsPercy Liang, Christopher Ré, Braden Hancock, Paroma Varma, Stephanie Wang, Martin Bringmann. 1884-1895 [doi]
- Did the Model Understand the Question?Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, Kedar Dhamdhere. 1896-1906 [doi]
- Harvesting Paragraph-level Question-Answer Pairs from WikipediaClaire Cardie, Xinya Du. 1907-1917 [doi]
- Multi-Passage Machine Reading Comprehension with Cross-Passage Answer VerificationHua Wu 0003, Haifeng Wang, Sujian Li, Wei He, Yizhong Wang, Jing Liu, Kai Liu, Yajuan Lyu. 1918-1927 [doi]
- Language Generation via DAG TransductionWeiwei Sun, Xiaojun Wan 0001, Yajie Ye. 1928-1937 [doi]
- A Distributional and Orthographic Aggregation Model for English Derivational MorphologyDan Roth, John Hewitt, Daniel Deutsch. 1938-1947 [doi]
- Deep-speare: A joint neural model of poetic language, meter and rhymeTimothy Baldwin, Trevor Cohn, Julian Brooke, Jey Han Lau, Adam Hammond. 1948-1958 [doi]
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- Incorporating Glosses into Neural Word Sense DisambiguationZhifang Sui, Baobao Chang, Tianyu Liu, Qiaolin Xia, Fuli Luo. 2473-2482 [doi]
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- Pre- and In-Parsing Models for Neural Empty Category DetectionWeiwei Sun, Xiaojun Wan 0001, Yufei Chen, Yuanyuan Zhao. 2686-2695 [doi]
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