Table of Contents

• Monolingual Phrase Alignment on Parse ForestsYuki Arase, Junichi Tsujii. 1-11 [doi]
• Fast(er) Exact Decoding and Global Training for Transition-Based Dependency Parsing via a Minimal Feature SetTianze Shi, Liang Huang, Lillian Lee. 12-23 [doi]
• Quasi-Second-Order Parsing for 1-Endpoint-Crossing, Pagenumber-2 GraphsJunjie Cao, Sheng Huang, Weiwei Sun, Xiaojun Wan 0001. 24-34 [doi]
• Position-aware Attention and Supervised Data Improve Slot FillingYuhao Zhang, Victor Zhong, Danqi Chen, Gabor Angeli, Christopher D. Manning. 35-45 [doi]
• Heterogeneous Supervision for Relation Extraction: A Representation Learning ApproachLiyuan Liu, Xiang Ren, Qi Zhu, Shi Zhi, Huan Gui, Heng Ji, Jiawei Han 0001. 46-56 [doi]
• Integrating Order Information and Event Relation for Script Event PredictionZhongqing Wang, Yue Zhang, Ching-Yun Chang. 57-67 [doi]
• Entity Linking for Queries by Searching Wikipedia SentencesChuanqi Tan, Furu Wei, Pengjie Ren, Weifeng Lv, Ming Zhou 0001. 68-77 [doi]
• Train-O-Matic: Large-Scale Supervised Word Sense Disambiguation in Multiple Languages without Manual Training DataTommaso Pasini, Roberto Navigli. 78-88 [doi]
• Universal Semantic ParsingSiva Reddy, Oscar Täckström, Slav Petrov, Mark Steedman, Mirella Lapata. 89-101 [doi]
• Mimicking Word Embeddings using Subword RNNsYuval Pinter, Robert Guthrie, Jacob Eisenstein. 102-112 [doi]
• Past, Present, Future: A Computational Investigation of the Typology of Tense in 1000 LanguagesEhsaneddin Asgari, Hinrich Schütze. 113-124 [doi]
• Neural Machine Translation with Source-Side Latent Graph ParsingKazuma Hashimoto, Yoshimasa Tsuruoka. 125-135 [doi]
• Neural Machine Translation with Word PredictionsRongxiang Weng, Shujian Huang, Zaixiang Zheng, Xin-Yu Dai, Jiajun Chen. 136-145 [doi]
• Towards Decoding as Continuous Optimisation in Neural Machine TranslationCong Duy Vu Hoang, Gholamreza Haffari, Trevor Cohn. 146-156 [doi]
• Where is Misty? Interpreting Spatial Descriptors by Modeling Regions in SpaceNikita Kitaev, Dan Klein. 157-166 [doi]
• Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density NetworksAfshin Rahimi, Timothy Baldwin, Trevor Cohn. 167-176 [doi]
• Obj2Text: Generating Visually Descriptive Language from Object LayoutsXuwang Yin, Vicente Ordonez. 177-187 [doi]
• End-to-end Neural Coreference ResolutionKenton Lee, Luheng He, Mike Lewis, Luke Zettlemoyer. 188-197 [doi]
• Neural Net Models of Open-domain Discourse CoherenceJiwei Li, Dan Jurafsky. 198-209 [doi]
• Affinity-Preserving Random Walk for Multi-Document SummarizationKexiang Wang, Tianyu Liu, Zhifang Sui, Baobao Chang. 210-220 [doi]
• A Mention-Ranking Model for Abstract Anaphora ResolutionAna Marasovic, Leo Born, Juri Opitz, Anette Frank. 221-232 [doi]
• Hierarchical Embeddings for Hypernymy Detection and DirectionalityKim Anh Nguyen, Maximilian Köper, Sabine Schulte im Walde, Ngoc Thang Vu. 233-243 [doi]
• Ngram2vec: Learning Improved Word Representations from Ngram Co-occurrence StatisticsZhe Zhao, Tao Liu 0001, Shen Li, Bofang Li, Xiaoyong Du. 244-253 [doi]
• Dict2vec : Learning Word Embeddings using Lexical DictionariesJulien Tissier, Christopher Gravier, Amaury Habrard. 254-263 [doi]
• Learning Chinese Word Representations From Glyphs Of CharactersTzu-Ray Su, Hung-yi Lee. 264-273 [doi]
• Learning Paraphrastic Sentence Embeddings from Back-Translated BitextJohn Wieting, Jonathan Mallinson, Kevin Gimpel. 274-285 [doi]
• Joint Embeddings of Chinese Words, Characters, and Fine-grained Subcharacter ComponentsJinxing Yu, Xun Jian, Hao Xin, Yangqiu Song. 286-291 [doi]
• Exploiting Morphological Regularities in Distributional Word RepresentationsArihant Gupta, Syed Sarfaraz Akhtar, Avijit Vajpayee, Arjit Srivastava, Madan Gopal Jhanwar, Manish Shrivastava. 292-297 [doi]
• Exploiting Word Internal Structures for Generic Chinese Sentence RepresentationShaonan Wang, Jiajun Zhang, Chengqing Zong. 298-303 [doi]
• High-risk learning: acquiring new word vectors from tiny dataAurélie Herbelot, Marco Baroni. 304-309 [doi]
• Word Embeddings based on Fixed-Size Ordinally Forgetting EncodingJoseph Sanu, Mingbin Xu, Hui Jiang 0001, Quan Liu. 310-315 [doi]
• VecShare: A Framework for Sharing Word Representation VectorsJared Fernandez, Zhaocheng Yu, Doug Downey. 316-320 [doi]
• Word Re-Embedding via Manifold Dimensionality RetentionSouleiman Hasan, Edward Curry. 321-326 [doi]
• MUSE: Modularizing Unsupervised Sense EmbeddingsGuang-He Lee, Yun-Nung Chen. 327-337 [doi]
• Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence TaggingNils Reimers, Iryna Gurevych. 338-348 [doi]
• Learning What's Easy: Fully Differentiable Neural Easy-First TaggersAndré F. T. Martins, Julia Kreutzer. 349-362 [doi]
• Incremental Skip-gram Model with Negative SamplingNobuhiro Kaji, Hayato Kobayashi. 363-371 [doi]
• Learning to select data for transfer learning with Bayesian OptimizationSebastian Ruder, Barbara Plank. 372-382 [doi]
• Unsupervised Pretraining for Sequence to Sequence LearningPrajit Ramachandran, Peter J. Liu, Quoc V. Le. 383-391 [doi]
• Efficient Attention using a Fixed-Size Memory RepresentationDenny Britz, Melody Y. Guan, Minh-Thang Luong. 392-400 [doi]
• Rotated Word Vector Representations and their InterpretabilitySungjoon Park, JinYeong Bak, Alice Oh. 401-411 [doi]
• A causal framework for explaining the predictions of black-box sequence-to-sequence modelsDavid Alvarez-Melis, Tommi S. Jaakkola. 412-421 [doi]
• Piecewise Latent Variables for Neural Variational Text ProcessingIulian Vlad Serban, Alexander G. Ororbia II, Joelle Pineau, Aaron C. Courville. 422-432 [doi]
• Learning the Structure of Variable-Order CRFs: a finite-state perspectiveThomas Lavergne, François Yvon. 433-439 [doi]
• Sparse Communication for Distributed Gradient DescentAlham Fikri Aji, Kenneth Heafield. 440-445 [doi]
• A Joint Many-Task Model: Growing a Neural Network for Multiple NLP TasksKazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, Richard Socher. 446-456 [doi]
• Why ADAGRAD Fails for Online Topic ModelingYou Lu, Jeffrey Lund, Jordan L. Boyd-Graber. 457-462 [doi]
• Recurrent Attention Network on Memory for Aspect Sentiment AnalysisPeng Chen, Zhongqian Sun, Lidong Bing, Wei Yang. 463-472 [doi]
• A Cognition Based Attention Model for Sentiment AnalysisYunfei Long, Lu Qin, Rong Xiang, Minglei Li, Chu-Ren Huang. 473-482 [doi]
• Author-aware Aspect Topic Sentiment Model to Retrieve Supporting Opinions from ReviewsLahari Poddar, Wynne Hsu, Mong-Li Lee. 483-492 [doi]
• Magnets for Sarcasm: Making Sarcasm Detection Timely, Contextual and Very PersonalAniruddha Ghosh, Tony Veale. 493-502 [doi]
• Identifying Humor in Reviews using Background Text SourcesAlex Morales, ChengXiang Zhai. 503-512 [doi]
• Sentiment Lexicon Construction with Representation Learning Based on Hierarchical Sentiment SupervisionLe Yi Wang, Rui Xia. 513-521 [doi]
• Towards a Universal Sentiment Classifier in Multiple languagesKui Xu, Xiaojun Wan 0001. 522-531 [doi]
• Capturing User and Product Information for Document Level Sentiment Analysis with Deep Memory NetworkZi-Yi Dou. 532-537 [doi]
• Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural DisastersMin Yang, Jincheng Mei, Heng Ji, Wei Zhao, Zhou Zhao, Xiaojun Chen 0004. 538-544 [doi]
• Refining Word Embeddings for Sentiment AnalysisLiang-Chih Yu, Jin Wang, K. Robert Lai, Xue-Jie Zhang. 545-550 [doi]
• A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment AnalysisMd. Shad Akhtar, Abhishek Kumar, Deepanway Ghosal, Asif Ekbal, Pushpak Bhattacharyya. 551-557 [doi]
• Sentiment Intensity Ranking among Adjectives Using Sentiment Bearing Word EmbeddingsRaksha Sharma, Arpan Somani, Lakshya Kumar, Pushpak Bhattacharyya. 558-563 [doi]
• Sentiment Lexicon Expansion Based on Neural PU Learning, Double Dictionary Lookup, and Polarity AssociationYasheng Wang, Yang Zhang, Bing Liu. 564-574 [doi]
• DeepPath: A Reinforcement Learning Method for Knowledge Graph ReasoningWenhan Xiong, Thien Hoang, William Yang Wang. 575-584 [doi]
• Task-Oriented Query Reformulation with Reinforcement LearningRodrigo Nogueira, KyungHyun Cho. 585-594 [doi]
• Sentence Simplification with Deep Reinforcement LearningXingxing Zhang, Mirella Lapata. 595-605 [doi]
• Learning how to Active Learn: A Deep Reinforcement Learning ApproachMeng Fang, Yuan Li, Trevor Cohn. 606-616 [doi]
• Split and RephraseShashi Narayan, Claire Gardent, Shay B. Cohen, Anastasia Shimorina. 617-627 [doi]
• Neural Response Generation via GAN with an Approximate Embedding LayerZhen Xu, Bingquan Liu, Baoxun Wang, Chengjie Sun, Xiaolong Wang, Zhuoran Wang, Chao Qi. 628-637 [doi]
• A Hybrid Convolutional Variational Autoencoder for Text GenerationStanislau Semeniuta, Aliaksei Severyn, Erhardt Barth. 638-648 [doi]
• Filling the Blanks (hint: plural noun) for Mad Libs HumorNabil Hossain, John Krumm, Lucy Vanderwende, Eric Horvitz, Henry A. Kautz. 649-658 [doi]
• Measuring Thematic Fit with Distributional Feature OverlapEnrico Santus, Emmanuele Chersoni, Alessandro Lenci, Philippe Blache. 659-669 [doi]
• SCDV : Sparse Composite Document Vectors using soft clustering over distributional representationsDheeraj Mekala, Vivek Gupta, Bhargavi Paranjape, Harish Karnick. 670-680 [doi]
• Supervised Learning of Universal Sentence Representations from Natural Language Inference DataAlexis Conneau, Douwe Kiela, Holger Schwenk, Loïc Barrault, Antoine Bordes. 681-691 [doi]
• Determining Semantic Textual Similarity using Natural Deduction ProofsHitomi Yanaka, Koji Mineshima, Pascual Martínez-Gómez, Daisuke Bekki. 692-702 [doi]
• Multi-Grained Chinese Word SegmentationChen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 703-714 [doi]
• Don't Throw Those Morphological Analyzers Away Just Yet: Neural Morphological Disambiguation for ArabicNasser Zalmout, Nizar Habash. 715-724 [doi]
• Paradigm Completion for Derivational MorphologyRyan Cotterell, Ekaterina Vylomova, Huda Khayrallah, Christo Kirov, David Yarowsky. 725-731 [doi]
• A Sub-Character Architecture for Korean Language ProcessingKarl Stratos. 732-737 [doi]
• Do LSTMs really work so well for PoS tagging? - A replication studyTobias Horsmann, Torsten Zesch. 738-747 [doi]
• The Labeled Segmentation of Printed BooksLara McConnaughey, Jennifer Dai, David Bamman. 748-758 [doi]
• Cross-lingual Character-Level Neural Morphological TaggingRyan Cotterell, Georg Heigold. 759-770 [doi]
• Word-Context Character Embeddings for Chinese Word SegmentationHao Zhou, Zhenting Yu, Yue Zhang, Shujian Huang, Xin-Yu Dai, Jiajun Chen. 771-777 [doi]
• Segmentation-Free Word Embedding for Unsegmented LanguagesTakamasa Oshikiri. 778-783 [doi]
• From Textbooks to Knowledge: A Case Study in Harvesting Axiomatic Knowledge from Textbooks to Solve Geometry ProblemsMrinmaya Sachan, Avinava Dubey, Eric P. Xing. 784-795 [doi]
• RACE: Large-scale ReAding Comprehension Dataset From ExaminationsGuokun Lai, Qizhe Xie, Hanxiao Liu, Yiming Yang, Eduard H. Hovy. 796-805 [doi]
• Beyond Sentential Semantic Parsing: Tackling the Math SAT with a Cascade of Tree TransducersMark Hopkins, Cristian Petrescu-Prahova, Roie Levin, Ronan Le Bras, Alvaro Herrasti, Vidur Joshi. 806-815 [doi]
• Learning Fine-Grained Expressions to Solve Math Word ProblemsDanqing Huang, Shuming Shi, Chin-Yew Lin, Jian Yin. 816-825 [doi]
• Structural Embedding of Syntactic Trees for Machine ComprehensionRui Liu, Junjie Hu, Wei Wei, Zi Yang, Eric Nyberg. 826-835 [doi]
• World Knowledge for Reading Comprehension: Rare Entity Prediction with Hierarchical LSTMs Using External DescriptionsTeng Long, Emmanuel Bengio, Ryan Lowe, Jackie Chi Kit Cheung, Doina Precup. 836-845 [doi]
• Two-Stage Synthesis Networks for Transfer Learning in Machine ComprehensionDavid Golub, Po-Sen Huang, Xiaodong He, Li Deng. 846-855 [doi]
• Deep Neural Solver for Math Word ProblemsYan Wang, Xiaojiang Liu, Shuming Shi. 856-865 [doi]
• Latent Space Embedding for Retrieval in Question-Answer ArchivesDeepak P, Dinesh Garg, Shirish K. Shevade. 866-876 [doi]
• Question Generation for Question AnsweringNan Duan, Duyu Tang, Peng Chen, Ming Zhou 0001. 877-885 [doi]
• Learning to Paraphrase for Question AnsweringLi Dong, Jonathan Mallinson, Siva Reddy, Mirella Lapata. 886-897 [doi]
• Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based ArchitectureYuanliang Meng, Anna Rumshisky, Alexey Romanov. 898-907 [doi]
• Ranking Kernels for Structures and Embeddings: A Hybrid Preference and Classification ModelKateryna Tymoshenko, Daniele Bonadiman, Alessandro Moschitti. 908-913 [doi]
• Recovering Question Answering Errors via Query RevisionSemih Yavuz, Izzeddin Gur, Yu Su, Xifeng Yan. 914-920 [doi]
• An empirical study on the effectiveness of images in Multimodal Neural Machine TranslationJean-Benoit Delbrouck, Stéphane Dupont. 921-930 [doi]
• Sound-Word2Vec: Learning Word Representations Grounded in SoundsAshwin K. Vijayakumar, Ramakrishna Vedantam, Devi Parikh. 931-936 [doi]
• The Promise of Premise: Harnessing Question Premises in Visual Question AnsweringAroma Mahendru, Viraj Prabhu, Akrit Mohapatra, Dhruv Batra, Stefan Lee. 937-946 [doi]
• Guided Open Vocabulary Image Captioning with Constrained Beam SearchPeter Anderson, Basura Fernando, Mark Johnson, Stephen Gould. 947-956 [doi]
• Zero-Shot Activity Recognition with Verb Attribute InductionRowan Zellers, Yejin Choi. 957-969 [doi]
• Deriving continous grounded meaning representations from referentially structured multimodal contextsSina Zarrieß, David Schlangen. 970-976 [doi]
• Hierarchically-Attentive RNN for Album Summarization and StorytellingLicheng Yu, Mohit Bansal, Tamara L. Berg. 977-982 [doi]
• Video Highlight Prediction Using Audience Chat ReactionsCheng-Yang Fu, Joon Lee, Mohit Bansal, Alexander C. Berg. 983-989 [doi]
• Reinforced Video Captioning with Entailment RewardsRamakanth Pasunuru, Mohit Bansal. 990-996 [doi]
• Evaluating Hierarchies of Verb Argument Structure with Hierarchical ClusteringJesse Mu, Joshua K. Hartshorne, Timothy O'Donnell. 997-1002 [doi]
• Incorporating Global Visual Features into Attention-based Neural Machine TranslationIacer Calixto, Qun Liu. 1003-1014 [doi]
• Mapping Instructions and Visual Observations to Actions with Reinforcement LearningDipendra Kumar Misra, John Langford, Yoav Artzi. 1015-1026 [doi]
• An analysis of eye-movements during reading for the detection of mild cognitive impairmentKathleen C. Fraser, Kristina Lundholm Fors, Dimitrios Kokkinakis, Arto Nordlund. 1027-1037 [doi]
• A Structured Learning Approach to Temporal Relation ExtractionQiang Ning, Zhili Feng, Dan Roth. 1038-1048 [doi]
• Importance sampling for unbiased on-demand evaluation of knowledge base populationArun Tejasvi Chaganty, Ashwin Paranjape, Percy Liang, Christopher D. Manning. 1049-1059 [doi]
• PACRR: A Position-Aware Neural IR Model for Relevance MatchingKai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo. 1060-1069 [doi]
• Globally Normalized ReaderJonathan Raiman, John Miller. 1070-1080 [doi]
• Speech segmentation with a neural encoder model of working memoryMicha Elsner, Cory Shain. 1081-1091 [doi]
• Speaking, Seeing, Understanding: Correlating semantic models with conceptual representation in the brainLuana Bulat, Stephen Clark, Ekaterina Shutova. 1092-1102 [doi]
• Multi-modal Summarization for Asynchronous Collection of Text, Image, Audio and VideoHaoran Li, Junnan Zhu, Cong Ma, Jiajun Zhang, Chengqing Zong. 1103-1113 [doi]
• Tensor Fusion Network for Multimodal Sentiment AnalysisAmir Zadeh, Minghai Chen, Soujanya Poria, Erik Cambria, Louis-Philippe Morency. 1114-1125 [doi]
• ConStance: Modeling Annotation Contexts to Improve Stance ClassificationKenneth Joseph, Lisa Friedland, William Hobbs, David Lazer, Oren Tsur. 1126-1135 [doi]
• Deeper Attention to Abusive User Content ModerationJohn Pavlopoulos, Prodromos Malakasiotis, Ion Androutsopoulos. 1136-1146 [doi]
• Outta Control: Laws of Semantic Change and Inherent Biases in Word Representation ModelsHaim Dubossarsky, Daphna Weinshall, Eitan Grossman. 1147-1156 [doi]
• Human Centered NLP with User-Factor AdaptationVeronica E. Lynn, Youngseo Son, Vivek Kulkarni, Niranjan Balasubramanian, H. Andrew Schwartz. 1157-1166 [doi]
• Neural Sequence Learning Models for Word Sense DisambiguationAlessandro Raganato, Claudio Delli Bovi, Roberto Navigli. 1167-1178 [doi]
• Learning Word Relatedness over TimeGuy D. Rosin, Eytan Adar, Kira Radinsky. 1179-1189 [doi]
• Inter-Weighted Alignment Network for Sentence Pair ModelingGehui Shen, Yunlun Yang, Zhi-Hong Deng. 1190-1200 [doi]
• A Short Survey on Taxonomy Learning from Text Corpora: Issues, Resources and Recent AdvancesChengyu Wang, Xiaofeng He, Aoying Zhou. 1201-1214 [doi]
• Idiom-Aware Compositional Distributed SemanticsPengfei Liu, Kaiyu Qian, Xipeng Qiu, Xuanjing Huang. 1215-1224 [doi]
• Macro Grammars and Holistic Triggering for Efficient Semantic ParsingYuchen Zhang, Panupong Pasupat, Percy Liang. 1225-1234 [doi]
• A Continuously Growing Dataset of Sentential ParaphrasesWuwei Lan, Siyu Qiu, Hua He, Wei Xu. 1235-1245 [doi]
• Cross-domain Semantic Parsing via ParaphrasingYu Su, Xifeng Yan. 1246-1257 [doi]
• A Joint Sequential and Relational Model for Frame-Semantic ParsingBishan Yang, Tom M. Mitchell. 1258-1267 [doi]
• Getting the Most out of AMR ParsingChuan Wang, Nianwen Xue. 1268-1279 [doi]
• AMR Parsing using Stack-LSTMsMiguel Ballesteros, Yaser Al-Onaizan. 1280-1286 [doi]
• An End-to-End Deep Framework for Answer Triggering with a Novel Group-Level ObjectiveJie Zhao, Yu Su, Ziyu Guan, Huan Sun. 1287-1293 [doi]
• Predicting Word Association StrengthsAndrew Cattle, Xiaojuan Ma. 1294-1299 [doi]
• Learning Contextually Informed Representations for Linear-Time Discourse ParsingYang Liu, Mirella Lapata. 1300-1309 [doi]
• Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and IdentificationMan Lan, Jianxiang Wang, Yuanbin Wu, Zheng-Yu Niu, Haifeng Wang. 1310-1319 [doi]
• Chinese Zero Pronoun Resolution with Deep Memory NetworkQingyu Yin, Yu Zhang, Weinan Zhang, Ting Liu. 1320-1329 [doi]
• How much progress have we made on RST discourse parsing? A replication study of recent results on the RST-DTMathieu Morey, Philippe Muller, Nicholas Asher. 1330-1335 [doi]
• What is it? Disambiguating the different readings of the pronoun 'it'Sharid Loáiciga, Liane Guillou, Christian Hardmeier. 1336-1342 [doi]
• Revisiting Selectional Preferences for Coreference ResolutionBenjamin Heinzerling, Nafise Sadat Moosavi, Michael Strube 0001. 1343-1350 [doi]
• Learning to Rank Semantic Coherence for Topic SegmentationLiang Wang, Sujian Li, Yajuan Lv, Houfeng Wang. 1351-1355 [doi]
• GRASP: Rich Patterns for Argumentation MiningEyal Shnarch, Ran Levy, Vikas C. Raykar, Noam Slonim. 1356-1361 [doi]
• Patterns of Argumentation Strategies across TopicsKhalid Al Khatib, Henning Wachsmuth, Matthias Hagen, Benno Stein. 1362-1368 [doi]
• Using Argument-based Features to Predict and Analyse Review HelpfulnessHaijing Liu, Yang Gao, Pin Lv, Mengxue Li, Shiqiang Geng, Minglan Li, Hao Wang. 1369-1374 [doi]
• Here's My Point: Joint Pointer Architecture for Argument MiningPeter Potash, Alexey Romanov, Anna Rumshisky. 1375-1384 [doi]
• Identifying attack and support argumentative relations using deep learningOana Cocarascu, Francesca Toni. 1385-1390 [doi]
• Neural Lattice-to-Sequence Models for Uncertain InputsMatthias Sperber, Graham Neubig, Jan Niehues, Alex Waibel. 1391-1400 [doi]
• Memory-augmented Neural Machine TranslationYang Feng, Shiyue Zhang, Andi Zhang, Dong Wang, Andrew Abel. 1401-1410 [doi]
• Dynamic Data Selection for Neural Machine TranslationMarlies van der Wees, Arianna Bisazza, Christof Monz. 1411-1421 [doi]
• Neural Machine Translation Leveraging Phrase-based Models in a Hybrid SearchLeonard Dahlmann, Evgeny Matusov, Pavel Petrushkov, Shahram Khadivi. 1422-1431 [doi]
• Translating Phrases in Neural Machine TranslationXing Wang, Zhaopeng Tu, Deyi Xiong, Min Zhang. 1432-1442 [doi]
• Towards Bidirectional Hierarchical Representations for Attention-based Neural Machine TranslationBaosong Yang, Derek F. Wong, Tong Xiao, Lidia S. Chao, Jingbo Zhu. 1443-1452 [doi]
• Learning Translations via Matrix CompletionDerry Tanti Wijaya, Brendan Callahan, John Hewitt, Jie Gao, Xiao Ling, Marianna Apidianaki, Chris Callison-Burch. 1453-1464 [doi]
• Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human FeedbackKhanh Nguyen, Hal Daumé III, Jordan L. Boyd-Graber. 1465-1475 [doi]
• Towards Compact and Fast Neural Machine Translation Using a Combined MethodXiaowei Zhang, Wei Chen, Feng Wang, Shuang Xu, Bo Xu. 1476-1482 [doi]
• Instance Weighting for Neural Machine Translation Domain AdaptationRui Wang 0015, Masao Utiyama, Lemao Liu, Kehai Chen, Eiichiro Sumita. 1483-1489 [doi]
• Regularization techniques for fine-tuning in neural machine translationAntonio Valerio Miceli Barone, Barry Haddow, Ulrich Germann, Rico Sennrich. 1490-1495 [doi]
• Source-Side Left-to-Right or Target-Side Left-to-Right? An Empirical Comparison of Two Phrase-Based Decoding AlgorithmsYin-Wen Chang, Michael Collins. 1496-1500 [doi]
• Using Target-side Monolingual Data for Neural Machine Translation through Multi-task LearningTobias Domhan, Felix Hieber. 1501-1506 [doi]
• Encoding Sentences with Graph Convolutional Networks for Semantic Role LabelingDiego Marcheggiani, Ivan Titov. 1507-1516 [doi]
• Neural Semantic Parsing with Type Constraints for Semi-Structured TablesJayant Krishnamurthy, Pradeep Dasigi, Matt Gardner. 1517-1527 [doi]
• Joint Concept Learning and Semantic Parsing from Natural Language ExplanationsShashank Srivastava, Igor Labutov, Tom M. Mitchell. 1528-1537 [doi]
• Grasping the Finer Point: A Supervised Similarity Network for Metaphor DetectionMarek Rei, Luana Bulat, Douwe Kiela, Ekaterina Shutova. 1538-1547 [doi]
• Identifying civilians killed by police with distantly supervised entity-event extractionKatherine A. Keith, Abram Handler, Michael Pinkham, Cara Magliozzi, Joshua McDuffie, Brendan O'Connor. 1548-1558 [doi]
• Asking too much? The rhetorical role of questions in political discourseJustine Zhang, Arthur Spirling, Cristian Danescu-Niculescu-Mizil. 1559-1573 [doi]
• Detecting Perspectives in Political DebatesDavid Vilares, Yulan He. 1574-1583 [doi]
• "i have a feeling trump will win..................": Forecasting Winners and Losers from User Predictions on TwitterSandesh Swamy, Alan Ritter, Marie-Catherine de Marneffe. 1584-1593 [doi]
• A Question Answering Approach for Emotion Cause ExtractionLin Gui, Jiannan Hu, Yulan He, Ruifeng Xu, Qin Lu, Jiachen Du. 1594-1603 [doi]
• Story Comprehension for Predicting What Happens NextSnigdha Chaturvedi, Haoruo Peng, Dan Roth. 1604-1615 [doi]
• Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasmBjarke Felbo, Alan Mislove, Anders Søgaard, Iyad Rahwan, Sune Lehmann. 1616-1626 [doi]
• Opinion Recommendation Using A Neural ModelZhongqing Wang, Yue Zhang. 1627-1638 [doi]
• CRF Autoencoder for Unsupervised Dependency ParsingJiong Cai, Yong Jiang, Kewei Tu. 1639-1644 [doi]
• Efficient Discontinuous Phrase-Structure Parsing via the Generalized Maximum Spanning ArborescenceCaio Corro, Joseph Le Roux, Mathieu Lacroix. 1645-1655 [doi]
• Incremental Graph-based Neural Dependency ParsingXiaoqing Zheng. 1656-1666 [doi]
• Neural Discontinuous Constituency ParsingMilos Stanojevic, Raquel G. Alhama. 1667-1677 [doi]
• Stack-based Multi-layer Attention for Transition-based Dependency ParsingZhirui Zhang, Shujie Liu 0001, Mu Li, Ming Zhou 0001, Enhong Chen. 1678-1683 [doi]
• Dependency Grammar Induction with Neural Lexicalization and Big Training DataWenjuan Han, Yong Jiang, Kewei Tu. 1684-1689 [doi]
• Combining Generative and Discriminative Approaches to Unsupervised Dependency Parsing via Dual DecompositionYong Jiang, Wenjuan Han, Kewei Tu. 1690-1695 [doi]
• Effective Inference for Generative Neural ParsingMitchell Stern, Daniel Fried, Dan Klein. 1696-1701 [doi]
• Semi-supervised Structured Prediction with Neural CRF AutoencoderXiao Zhang, Yong Jiang, Hao Peng, Kewei Tu, Dan Goldwasser. 1702-1712 [doi]
• TAG Parsing with Neural Networks and Vector Representations of SupertagsJungo Kasai, Bob Frank, Tom McCoy, Owen Rambow, Alexis Nasr. 1713-1723 [doi]
• Global Normalization of Convolutional Neural Networks for Joint Entity and Relation ClassificationHeike Adel, Hinrich Schütze. 1724-1730 [doi]
• End-to-End Neural Relation Extraction with Global OptimizationMeishan Zhang, Yue Zhang, Guohong Fu. 1731-1741 [doi]
• KGEval: Accuracy Estimation of Automatically Constructed Knowledge GraphsPrakhar Ojha, Partha P. Talukdar. 1742-1751 [doi]
• Sparsity and Noise: Where Knowledge Graph Embeddings Fall ShortJay Pujara, Eriq Augustine, Lise Getoor. 1752-1757 [doi]
• Dual Tensor Model for Detecting Asymmetric Lexico-Semantic RelationsGoran Glavas, Simone Paolo Ponzetto. 1758-1768 [doi]
• Incorporating Relation Paths in Neural Relation ExtractionWenyuan Zeng, Yankai Lin, Zhiyuan Liu, Maosong Sun. 1769-1778 [doi]
• Adversarial Training for Relation ExtractionYi Wu, David Bamman, Stuart J. Russell. 1779-1784 [doi]
• Context-Aware Representations for Knowledge Base Relation ExtractionDaniil Sorokin, Iryna Gurevych. 1785-1790 [doi]
• A Soft-label Method for Noise-tolerant Distantly Supervised Relation ExtractionTianyu Liu, Kexiang Wang, Baobao Chang, Zhifang Sui. 1791-1796 [doi]
• A Sequential Model for Classifying Temporal Relations between Intra-Sentence EventsPrafulla Kumar Choubey, Ruihong Huang. 1797-1803 [doi]
• Deep Residual Learning for Weakly-Supervised Relation ExtractionYi Yao Huang, William Yang Wang. 1804-1808 [doi]
• Noise-Clustered Distant Supervision for Relation Extraction: A Nonparametric Bayesian PerspectiveQing Zhang, Houfeng Wang. 1809-1814 [doi]
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• Towards Quantum Language ModelsIvano Basile, Fabio Tamburini. 1841-1850 [doi]
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• Syllable-aware Neural Language Models: A Failure to Beat Character-aware OnesZhenisbek Assylbekov, Rustem Takhanov, Bagdat Myrzakhmetov, Jonathan Washington. 1867-1873 [doi]
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• Shortest-Path Graph Kernels for Document SimilarityGiannis Nikolentzos, Polykarpos Meladianos, François Rousseau 0001, Yannis Stavrakas, Michalis Vazirgiannis. 1891-1901 [doi]
• Adapting Topic Models using Lexical Associations with Tree PriorsWeiwei Yang, Jordan L. Boyd-Graber, Philip Resnik. 1902-1907 [doi]
• Finding Patterns in Noisy Crowds: Regression-based Annotation Aggregation for Crowdsourced DataNatalie Parde, Rodney D. Nielsen. 1908-1913 [doi]
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• Earth Mover's Distance Minimization for Unsupervised Bilingual Lexicon InductionMeng Zhang, Yang Liu 0005, Huanbo Luan, Maosong Sun. 1924-1935 [doi]
• Unfolding and Shrinking Neural Machine Translation EnsemblesFelix Stahlberg, Bill Byrne. 1936-1946 [doi]
• Graph Convolutional Encoders for Syntax-aware Neural Machine TranslationJoost Bastings, Ivan Titov, Wilker Aziz, Diego Marcheggiani, Khalil Sima'an. 1947-1957 [doi]
• Trainable Greedy Decoding for Neural Machine TranslationJiatao Gu, KyungHyun Cho, Victor O. K. Li. 1958-1968 [doi]
• Satirical News Detection and Analysis using Attention Mechanism and Linguistic FeaturesFan Yang, Arjun Mukherjee, Eduard Constantin Dragut. 1969-1979 [doi]
• Fine Grained Citation Span for References in WikipediaBesnik Fetahu, Katja Markert, Avishek Anand. 1980-1989 [doi]
• Identifying Semantic Edit Intentions from Revisions in WikipediaDiyi Yang, Aaron Halfaker, Robert E. Kraut, Eduard H. Hovy. 1990-2000 [doi]
• Accurate Supervised and Semi-Supervised Machine Reading for Long DocumentsDaniel Hewlett, Llion Jones, Alexandre Lacoste, Izzeddin Gur. 2001-2010 [doi]
• Adversarial Examples for Evaluating Reading Comprehension SystemsRobin Jia, Percy Liang. 2011-2021 [doi]
• Reasoning with Heterogeneous Knowledge for Commonsense Machine ComprehensionHongyu Lin, Le Sun, Xianpei Han. 2022-2033 [doi]
• Document-Level Multi-Aspect Sentiment Classification as Machine ComprehensionYichun Yin, Yangqiu Song, Ming Zhang. 2034-2044 [doi]
• What is the Essence of a Claim? Cross-Domain Claim IdentificationJohannes Daxenberger, Steffen Eger, Ivan Habernal, Christian Stab, Iryna Gurevych. 2045-2056 [doi]
• Identifying Where to Focus in Reading Comprehension for Neural Question GenerationXinya Du, Claire Cardie. 2057-2063 [doi]
• Break it Down for Me: A Study in Automated Lyric AnnotationLucas Sterckx, Jason Naradowsky, Bill Byrne, Thomas Demeester, Chris Develder. 2064-2070 [doi]
• Cascaded Attention based Unsupervised Information Distillation for Compressive SummarizationPiji Li, Wai Lam, Lidong Bing, Weiwei Guo, Hang Li. 2071-2080 [doi]
• Deep Recurrent Generative Decoder for Abstractive Text SummarizationPiji Li, Wai Lam, Lidong Bing, Zihao Wang. 2081-2090 [doi]
• Extractive Summarization Using Multi-Task Learning with Document ClassificationMasaru Isonuma, Toru Fujino, Junichiro Mori, Yutaka Matsuo, Ichiro Sakata. 2091-2100 [doi]
• Towards Automatic Construction of News Overview Articles by News SynthesisJianmin Zhang, Xiaojun Wan 0001. 2101-2106 [doi]
• Joint Syntacto-Discourse Parsing and the Syntacto-Discourse TreebankKai Zhao, Liang Huang 0001. 2107-2113 [doi]
• Event Coreference Resolution by Iteratively Unfolding Inter-dependencies among EventsPrafulla Kumar Choubey, Ruihong Huang. 2114-2123 [doi]
• When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size)Liang Huang 0001, Kai Zhao, Mingbo Ma. 2124-2129 [doi]
• Steering Output Style and Topic in Neural Response GenerationDi Wang, Nebojsa Jojic, Chris Brockett, Eric Nyberg. 2130-2140 [doi]
• Preserving Distributional Information in Dialogue Act ClassificationQuan Hung Tran, Ingrid Zukerman, Gholamreza Haffari. 2141-2146 [doi]
• Adversarial Learning for Neural Dialogue GenerationJiwei Li, Will Monroe, Tianlin Shi, Sébastien Jean, Alan Ritter, Dan Jurafsky. 2147-2159 [doi]
• Using Context Information for Dialog Act Classification in DNN FrameworkYang Liu, Kun Han, Zhao Tan, Yun Lei. 2160-2168 [doi]
• Modeling Dialogue Acts with Content Word Filtering and Speaker PreferencesYohan Jo, Michael Yoder, Hyeju Jang, Carolyn Penstein Rosé. 2169-2179 [doi]
• Towards Implicit Content-Introducing for Generative Short-Text Conversation SystemsLili Yao, Yaoyuan Zhang, Yansong Feng, Dongyan Zhao, Rui Yan. 2180-2189 [doi]
• Affordable On-line Dialogue Policy LearningCheng Chang, Runzhe Yang, Lu Chen, Xiang Zhou, Kai Yu. 2190-2199 [doi]
• Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence ModelsYuanlong Shao, Stephan Gouws, Denny Britz, Anna Goldie, Brian Strope, Ray Kurzweil. 2200-2209 [doi]
• Bootstrapping incremental dialogue systems from minimal data: the generalisation power of dialogue grammarsArash Eshghi, Igor Shalyminov, Oliver Lemon. 2210-2220 [doi]
• Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement LearningBaolin Peng, Xiujun Li, Lihong Li, Jianfeng Gao, Asli Çelikyilmaz, Sungjin Lee, Kam-Fai Wong. 2221-2230 [doi]
• Why We Need New Evaluation Metrics for NLGJekaterina Novikova, Ondrej Dusek, Amanda Cercas Curry, Verena Rieser. 2231-2242 [doi]
• Challenges in Data-to-Document GenerationSam Wiseman, Stuart M. Shieber, Alexander M. Rush. 2243-2253 [doi]
• All that is English may be Hindi: Enhancing language identification through automatic ranking of the likeliness of word borrowing in social mediaJasabanta Patro, Bidisha Samanta, Saurabh Singh, Abhipsa Basu, Prithwish Mukherjee, Monojit Choudhury, Animesh Mukherjee. 2254-2264 [doi]
• Multi-View Unsupervised User Feature Embedding for Social Media-based Substance Use PredictionTao Ding, Warren K. Bickel, Shimei Pan. 2265-2274 [doi]
• Demographic-aware word associationsAparna Garimella, Carmen Banea, Rada Mihalcea. 2275-2285 [doi]
• A Factored Neural Network Model for Characterizing Online Discussions in Vector SpaceHao Cheng, Hao Fang, Mari Ostendorf. 2286-2296 [doi]
• Dimensions of Interpersonal Relationships: Corpus and ExperimentsFarzana Rashid, Eduardo Blanco. 2297-2306 [doi]
• Argument Mining on Twitter: Arguments, Facts and SourcesMihai Dusmanu, Elena Cabrio, Serena Villata. 2307-2312 [doi]
• Distinguishing Japanese Non-standard Usages from Standard OnesTatsuya Aoki, Ryohei Sasano, Hiroya Takamura, Manabu Okumura. 2313-2318 [doi]
• Connotation Frames of Power and Agency in Modern FilmsMaarten Sap, Marcella Cindy Prasettio, Ari Holtzman, Hannah Rashkin, Yejin Choi. 2319-2324 [doi]
• Controlling Human Perception of Basic User TraitsDaniel Preotiuc-Pietro, Sharath Chandra Guntuku, Lyle H. Ungar. 2325-2331 [doi]
• Topic Signatures in Political Campaign SpeechesClément Gautrais, Peggy Cellier, René Quiniou, Alexandre Termier. 2332-2337 [doi]
• Assessing Objective Recommendation Quality through Political ForecastingH. Andrew Schwartz, Masoud Rouhizadeh, Michael Bishop, Philip Tetlock, Barbara A. Mellers, Lyle H. Ungar. 2338-2347 [doi]
• Never Abandon Minorities: Exhaustive Extraction of Bursty Phrases on Microblogs Using Set Cover ProblemMasumi Shirakawa, Takahiro Hara, Takuya Maekawa. 2348-2357 [doi]
• Maximum Margin Reward Networks for Learning from Explicit and Implicit SupervisionHaoruo Peng, Ming-Wei Chang, Wen-tau Yih. 2358-2368 [doi]
• The Impact of Modeling Overall Argumentation with Tree KernelsHenning Wachsmuth, Giovanni Da San Martino, Dora Kiesel, Benno Stein. 2369-2379 [doi]
• Learning Generic Sentence Representations Using Convolutional Neural NetworksZhe Gan, Yunchen Pu, Ricardo Henao, Chunyuan Li, Xiaodong He, Lawrence Carin. 2380-2390 [doi]
• Repeat before Forgetting: Spaced Repetition for Efficient and Effective Training of Neural NetworksHadi Amiri, Timothy A. Miller, Guergana Savova. 2391-2400 [doi]
• Part-of-Speech Tagging for Twitter with Adversarial Neural NetworksTao Gui, Qi Zhang, Haoran Huang, Minlong Peng, Xuanjing Huang. 2401-2410 [doi]
• Investigating Different Syntactic Context Types and Context Representations for Learning Word EmbeddingsBofang Li, Tao Liu 0001, Zhe Zhao, Buzhou Tang, Aleksandr Drozd, Anna Rogers, Xiaoyong Du. 2411-2421 [doi]
• Does syntax help discourse segmentation? Not so muchChloé Braud, Ophélie Lacroix, Anders Søgaard. 2422-2432 [doi]
• Deal or No Deal? End-to-End Learning of Negotiation DialoguesMike Lewis, Denis Yarats, Yann Dauphin, Devi Parikh, Dhruv Batra. 2433-2443 [doi]
• Agent-Aware Dropout DQN for Safe and Efficient On-line Dialogue Policy LearningLu Chen, Xiang Zhou, Cheng Chang, Runzhe Yang, Kai Yu. 2444-2454 [doi]
• Towards Debate Automation: a Recurrent Model for Predicting Debate WinnersPeter Potash, Anna Rumshisky. 2455-2465 [doi]
• Further Investigation into Reference Bias in Monolingual Evaluation of Machine TranslationQingsong Ma, Yvette Graham, Timothy Baldwin, Qun Liu. 2466-2475 [doi]
• A Challenge Set Approach to Evaluating Machine TranslationPierre Isabelle, Colin Cherry, George F. Foster. 2476-2486 [doi]
• Knowledge Distillation for Bilingual Dictionary InductionNdapandula Nakashole, Raphael Flauger. 2487-2496 [doi]
• Machine Translation, it's a question of style, innit? The case of English tag questionsRachel Bawden. 2497-2502 [doi]
• Deciphering Related LanguagesNima Pourdamghani, Kevin Knight. 2503-2508 [doi]
• Identifying Cognate Sets Across Dictionaries of Related LanguagesAdam St. Arnaud, David Beck, Grzegorz Kondrak. 2509-2518 [doi]
• Learning Language Representations for Typology PredictionChaitanya Malaviya, Graham Neubig, Patrick Littell. 2519-2525 [doi]
• Cheap Translation for Cross-Lingual Named Entity RecognitionStephen D. Mayhew, Chen-Tse Tsai, Dan Roth. 2526-2535 [doi]
• Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space SpecialisationIvan Vulic, Nikola Mrksic, Anna Korhonen. 2536-2548 [doi]
• Classification of telicity using cross-linguistic annotation projectionAnnemarie Friedrich, Damyana Gateva. 2549-2555 [doi]
• Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine TranslationCarolin Lawrence, Artem Sokolov, Stefan Riezler. 2556-2566 [doi]
• Learning Fine-grained Relations from Chinese User Generated CategoriesChengyu Wang, Yan Fan, Xiaofeng He, Aoying Zhou. 2567-2577 [doi]
• Improving Slot Filling Performance with Attentive Neural Networks on Dependency StructuresLifu Huang, Avirup Sil, Heng Ji, Radu Florian. 2578-2587 [doi]
• Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain AdaptationGreg Durrett, Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Rebecca S. Portnoff, Sadia Afroz, Damon McCoy, Kirill Levchenko, Vern Paxson. 2588-2597 [doi]
• Labeling Gaps Between Words: Recognizing Overlapping Mentions with Mention SeparatorsAldrian Obaja Muis, Wei Lu. 2598-2608 [doi]
• Deep Joint Entity Disambiguation with Local Neural AttentionOctavian-Eugen Ganea, Thomas Hofmann. 2609-2619 [doi]
• MinIE: Minimizing Facts in Open Information ExtractionKiril Gashteovski, Rainer Gemulla, Luciano Del Corro. 2620-2630 [doi]
• Scientific Information Extraction with Semi-supervised Neural TaggingYi Luan, Mari Ostendorf, Hannaneh Hajishirzi. 2631-2641 [doi]
• NITE: A Neural Inductive Teaching Framework for Domain Specific NERSiliang Tang, Ning Zhang, Jinjian Zhang, Fei Wu, Yueting Zhuang. 2642-2647 [doi]
• Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous MethodsAditya Sharma, Zarana Parekh, Partha P. Talukdar. 2648-2653 [doi]
• Leveraging Linguistic Structures for Named Entity Recognition with Bidirectional Recursive Neural NetworksPeng-Hsuan Li, Ruo-Ping Dong, Yu-Siang Wang, Ju-Chieh Chou, Wei-Yun Ma. 2654-2659 [doi]
• Fast and Accurate Entity Recognition with Iterated Dilated ConvolutionsEmma Strubell, Patrick Verga, David Belanger, Andrew McCallum. 2660-2670 [doi]
• Entity Linking via Joint Encoding of Types, Descriptions, and ContextNitish Gupta, Sameer Singh 0001, Dan Roth. 2671-2680 [doi]
• An Insight Extraction System on BioMedical Literature with Deep Neural NetworksHua He, Kris Ganjam, Navendu Jain, Jessica Lundin, Ryen White, Jimmy Lin. 2681-2691 [doi]
• Word Etymology as Native Language InterferenceVivi Nastase, Carlo Strapparava. 2692-2697 [doi]
• A Simpler and More Generalizable Story Detector using Verb and Character FeaturesJoshua D. Eisenberg, Mark A. Finlayson. 2698-2705 [doi]
• Multi-modular domain-tailored OCR post-correctionSarah Schulz, Jonas Kuhn. 2706-2716 [doi]
• Learning to Predict Charges for Criminal Cases with Legal BasisBingfeng Luo, Yansong Feng, Jianbo Xu, Xiang Zhang, Dongyan Zhao. 2717-2726 [doi]
• Quantifying the Effects of Text Duplication on Semantic ModelsAlexandra Schofield, Laure Thompson, David M. Mimno. 2727-2737 [doi]
• Identifying Semantically Deviating Outlier DocumentsHonglei Zhuang, Chi Wang 0001, Fangbo Tao, Lance M. Kaplan, Jiawei Han 0001. 2738-2747 [doi]
• Detecting and Explaining Causes From Text For a Time Series EventDongyeop Kang, Varun Gangal, Ang Lu, Zheng Chen, Eduard H. Hovy. 2748-2757 [doi]
• A Novel Cascade Model for Learning Latent Similarity from Heterogeneous Sequential Data of MOOCZhuoxuan Jiang, Shanshan Feng, Gao Cong, Chunyan Miao, Xiaoming Li. 2758-2763 [doi]
• Identifying the Provision of Choices in Privacy Policy TextKanthashree Mysore Sathyendra, Shomir Wilson, Florian Schaub, Sebastian Zimmeck, Norman M. Sadeh. 2764-2769 [doi]
• An Empirical Analysis of Edit Importance between Document VersionsTanya Goyal, Sachin Kelkar, Manas Agarwal, Jeenu Grover. 2770-2774 [doi]
• Transition-Based Disfluency Detection using LSTMsShaolei Wang, Wanxiang Che, Yue Zhang, Meishan Zhang, Ting Liu. 2775-2784 [doi]
• Neural Sequence-Labelling Models for Grammatical Error CorrectionHelen Yannakoudakis, Marek Rei, Øistein E. Andersen, Zheng Yuan. 2785-2796 [doi]
• Adapting Sequence Models for Sentence CorrectionAllen Schmaltz, Yoon Kim, Alexander M. Rush, Stuart M. Shieber. 2797-2803 [doi]
• A Study of Style in Machine Translation: Controlling the Formality of Machine Translation OutputXing Niu, Marianna J. Martindale, Marine Carpuat. 2804-2809 [doi]
• Sharp Models on Dull Hardware: Fast and Accurate Neural Machine Translation Decoding on the CPUJacob Devlin. 2810-2815 [doi]
• Exploiting Cross-Sentence Context for Neural Machine TranslationLongyue Wang, Zhaopeng Tu, Andy Way, Qun Liu. 2816-2821 [doi]
• Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual ResourcesJoo-Kyung Kim, Young-Bum Kim, Ruhi Sarikaya, Eric Fosler-Lussier. 2822-2828 [doi]
• Image Pivoting for Learning Multilingual Multimodal RepresentationsSpandana Gella, Rico Sennrich, Frank Keller, Mirella Lapata. 2829-2835 [doi]
• Neural Machine Translation with Source Dependency RepresentationKehai Chen, Rui Wang 0015, Masao Utiyama, Lemao Liu, Akihiro Tamura, Eiichiro Sumita, Tiejun Zhao. 2836-2842 [doi]
• Visual Denotations for Recognizing Textual EntailmentDan Han, Pascual Martínez-Gómez, Koji Mineshima. 2843-2849 [doi]
• Sequence Effects in Crowdsourced AnnotationsNitika Mathur, Timothy Baldwin, Trevor Cohn. 2850-2855 [doi]
• No Need to Pay Attention: Simple Recurrent Neural Networks Work!Ferhan Türe, Oliver Jojic. 2856-2862 [doi]
• The strange geometry of skip-gram with negative samplingDavid M. Mimno, Laure Thompson. 2863-2868 [doi]
• Natural Language Processing with Small Feed-Forward NetworksJan A. Botha, Emily Pitler, Ji Ma, Anton Bakalov, Alex Salcianu, David Weiss, Ryan T. McDonald, Slav Petrov. 2869-2875 [doi]
• Deep Multi-Task Learning for Aspect Term Extraction with Memory InteractionXin Li, Wai Lam. 2876-2882 [doi]
• Analogs of Linguistic Structure in Deep RepresentationsJacob Andreas, Dan Klein. 2883-2887 [doi]
• A Simple Regularization-based Algorithm for Learning Cross-Domain Word EmbeddingsWei Yang, Wei Lu, Vincent Zheng. 2888-2894 [doi]
• Learning what to read: Focused machine readingEnrique Noriega-Atala, Marco Antonio Valenzuela-Escárcega, Clayton Morrison, Mihai Surdeanu. 2895-2900 [doi]
• DOC: Deep Open Classification of Text DocumentsLei Shu, Hu Xu, Bing Liu. 2901-2906 [doi]
• Charmanteau: Character Embedding Models For Portmanteau CreationVarun Gangal, Harsh Jhamtani, Graham Neubig, Eduard H. Hovy, Eric Nyberg. 2907-2912 [doi]
• Using Automated Metaphor Identification to Aid in Detection and Prediction of First-Episode SchizophreniaE. Dario Gutiérrez, Guillermo A. Cecchi, Cheryl Corcoran, Philip Corlett. 2913-2920 [doi]
• Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-CheckingHannah Rashkin, Eunsol Choi, Jin Yea Jang, Svitlana Volkova, Yejin Choi. 2921-2927 [doi]
• Topic-Based Agreement and Disagreement in US Electoral ManifestosStefano Menini, Federico Nanni, Simone Paolo Ponzetto, Sara Tonelli. 2928-2934 [doi]
• Zipporah: a Fast and Scalable Data Cleaning System for Noisy Web-Crawled Parallel CorporaHainan Xu, Philipp Koehn. 2935-2940 [doi]
• Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level ConstraintsJieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang. 2941-2951 [doi]
• Natural Language Does Not Emerge 'Naturally' in Multi-Agent DialogSatwik Kottur, José M. F. Moura, Stefan Lee, Dhruv Batra. 2952-2957 [doi]
• Depression and Self-Harm Risk Assessment in Online ForumsAndrew Yates, Arman Cohan, Nazli Goharian. 2958-2968 [doi]
• Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept MapsTobias Falke, Iryna Gurevych. 2969-2979 [doi]