Table of Contents

• On Using Very Large Target Vocabulary for Neural Machine TranslationSébastien Jean, KyungHyun Cho, Roland Memisevic, Yoshua Bengio. 1-10 [doi]
• Addressing the Rare Word Problem in Neural Machine TranslationThang Luong, Ilya Sutskever, Quoc V. Le, Oriol Vinyals, Wojciech Zaremba. 11-19 [doi]
• Encoding Source Language with Convolutional Neural Network for Machine TranslationFandong Meng, Zhengdong Lu, Mingxuan Wang, Hang Li, Wenbin Jiang, Qun Liu. 20-30 [doi]
• Statistical Machine Translation Features with Multitask Tensor NetworksHendra Setiawan, Zhongqiang Huang, Jacob Devlin, Thomas Lamar, Rabih Zbib, Richard M. Schwartz, John Makhoul. 31-41 [doi]
• Describing Images using Inferred Visual Dependency RepresentationsDesmond Elliott, Arjen de Vries. 42-52 [doi]
• Text to 3D Scene Generation with Rich Lexical GroundingAngel X. Chang, Will Monroe, Manolis Savva, Christopher Potts, Christopher D. Manning. 53-62 [doi]
• MultiGranCNN: An Architecture for General Matching of Text Chunks on Multiple Levels of GranularityWenpeng Yin, Hinrich Schütze. 63-73 [doi]
• Weakly Supervised Models of Aspect-Sentiment for Online Course Discussion ForumsArti Ramesh, Shachi H. Kumar, James R. Foulds, Lise Getoor. 74-83 [doi]
• Semantically Smooth Knowledge Graph EmbeddingShu Guo, Quan Wang, Bin Wang, Lihong Wang, Li Guo. 84-94 [doi]
• SensEmbed: Learning Sense Embeddings for Word and Relational SimilarityIgnacio Iacobacci, Mohammad Taher Pilehvar, Roberto Navigli. 95-105 [doi]
• Revisiting Word Embedding for Contrasting MeaningZhigang Chen, Wei Lin, Qian Chen, Xiaoping Chen, Si Wei, Hui Jiang, Xiaodan Zhu. 106-115 [doi]
• Joint Models of Disagreement and Stance in Online DebateDhanya Sridhar, James R. Foulds, Bert Huang, Lise Getoor, Marilyn A. Walker. 116-125 [doi]
• Low-Rank Regularization for Sparse Conjunctive Feature Spaces: An Application to Named Entity ClassificationAudi Primadhanty, Xavier Carreras, Ariadna Quattoni. 126-135 [doi]
• Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic RelationsFei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng. 136-145 [doi]
• Learning Dynamic Feature Selection for Fast Sequential PredictionEmma Strubell, Luke Vilnis, Kate Silverstein, Andrew McCallum. 146-155 [doi]
• Compositional Vector Space Models for Knowledge Base CompletionArvind Neelakantan, Benjamin Roth, Andrew McCallum. 156-166 [doi]
• Event Extraction via Dynamic Multi-Pooling Convolutional Neural NetworksYubo Chen, Liheng Xu, Kang Liu, Daojian Zeng, Jun Zhao 0001. 167-176 [doi]
• Stacked Ensembles of Information Extractors for Knowledge-Base PopulationVidhoon Viswanathan, Nazneen Fatema Rajani, Yinon Bentor, Raymond J. Mooney. 177-187 [doi]
• Generative Event Schema Induction with Entity DisambiguationKiem-Hieu Nguyen, Xavier Tannier, Olivier Ferret, Romaric Besançon. 188-197 [doi]
• Syntax-based Simultaneous Translation through Prediction of Unseen Syntactic ConstituentsYusuke Oda, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura. 198-207 [doi]
• Efficient Top-Down BTG Parsing for Machine Translation PreorderingTetsuji Nakagawa. 208-218 [doi]
• Online Multitask Learning for Machine Translation Quality EstimationJosé Guilherme Camargo de Souza, Matteo Negri, Elisa Ricci, Marco Turchi. 219-228 [doi]
• A Context-Aware Topic Model for Statistical Machine TranslationJinsong Su, Deyi Xiong, Yang Liu 0005, Xianpei Han, Hongyu Lin, Junfeng Yao, Min Zhang. 229-238 [doi]
• Learning Answer-Entailing Structures for Machine ComprehensionMrinmaya Sachan, Kumar Dubey, Eric P. Xing, Matthew Richardson. 239-249 [doi]
• Learning Continuous Word Embedding with Metadata for Question Retrieval in Community Question AnsweringGuangyou Zhou, Tingting He, Jun Zhao 0001, Po Hu. 250-259 [doi]
• Question Answering over Freebase with Multi-Column Convolutional Neural NetworksLi Dong, Furu Wei, Ming Zhou, Ke Xu. 260-269 [doi]
• Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot LearningAngeliki Lazaridou, Georgiana Dinu, Marco Baroni. 270-280 [doi]
• A Generalisation of Lexical Functions for Composition in Distributional SemanticsAntoine Bride, Tim Van de Cruys, Nicholas Asher. 281-291 [doi]
• Simple Learning and Compositional Application of Perceptually Grounded Word Meanings for Incremental Reference ResolutionCasey Kennington, David Schlangen. 292-301 [doi]
• Neural CRF ParsingGreg Durrett, Dan Klein. 302-312 [doi]
• An Effective Neural Network Model for Graph-based Dependency ParsingWenzhe Pei, Tao Ge, Baobao Chang. 313-322 [doi]
• Structured Training for Neural Network Transition-Based ParsingDavid Weiss, Chris Alberti, Michael Collins, Slav Petrov. 323-333 [doi]
• Transition-Based Dependency Parsing with Stack Long Short-Term MemoryChris Dyer, Miguel Ballesteros, Wang Ling, Austin Matthews, Noah A. Smith. 334-343 [doi]
• Leveraging Linguistic Structure For Open Domain Information ExtractionGabor Angeli, Melvin Jose Johnson Premkumar, Christopher D. Manning. 344-354 [doi]
• Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning ApproachWilliam Yang Wang, William W. Cohen. 355-364 [doi]
• A Knowledge-Intensive Model for Prepositional Phrase AttachmentNdapandula Nakashole, Tom M. Mitchell. 365-375 [doi]
• A Convolution Kernel Approach to Identifying Comparisons in TextMaksim Tkachenko, Hady Wirawan Lauw. 376-386 [doi]
• It Depends: Dependency Parser Comparison Using A Web-based Evaluation ToolJinho D. Choi, Joel R. Tetreault, Amanda Stent. 387-396 [doi]
• Generating High Quality Proposition Banks for Multilingual Semantic Role LabelingAlan Akbik, Laura Chiticariu, Marina Danilevsky, Yunyao Li, Shivakumar Vaithyanathan, Huaiyu Zhu. 397-407 [doi]
• Aligning Opinions: Cross-Lingual Opinion Mining with DependenciesMariana S. C. Almeida, Cláudia Pinto, Helena Figueira, Pedro Mendes, André F. T. Martins. 408-418 [doi]
• Learning to Adapt Credible Knowledge in Cross-lingual Sentiment AnalysisQiang Chen, Wenjie Li, Yu Lei, Xule Liu, Yanxiang He. 419-429 [doi]
• Learning Bilingual Sentiment Word Embeddings for Cross-language Sentiment ClassificationHuiwei Zhou, Long Chen, Fulin Shi, Degen Huang. 430-440 [doi]
• Content Models for Survey Generation: A Factoid-Based EvaluationRahul Jha, Catherine Finegan-Dollak, Ben King, Reed Coke, Dragomir R. Radev. 441-450 [doi]
• Training a Natural Language Generator From Unaligned DataOndrej Dusek, Filip Jurcícek. 451-461 [doi]
• Event-Driven Headline GenerationRui Sun, Yue Zhang, Meishan Zhang, Dong-Hong Ji. 462-472 [doi]
• New Transfer Learning Techniques for Disparate Label SetsYoung-Bum Kim, Karl Stratos, Ruhi Sarikaya, Minwoo Jeong. 473-482 [doi]
• Matrix Factorization with Knowledge Graph Propagation for Unsupervised Spoken Language UnderstandingYun-Nung Chen, William Yang Wang, Anatole Gershman, Alexander I. Rudnicky. 483-494 [doi]
• Efficient Disfluency Detection with Transition-based ParsingShuangzhi Wu, DongDong Zhang, Ming Zhou, Tiejun Zhao. 495-503 [doi]
• S-MART: Novel Tree-based Structured Learning Algorithms Applied to Tweet Entity LinkingYi Yang, Ming-Wei Chang. 504-513 [doi]
• Entity Retrieval via Entity Factoid HierarchyChunliang Lu, Wai Lam, Yi Liao. 514-523 [doi]
• Encoding Distributional Semantics into Triple-Based Knowledge Ranking for Document EnrichmentMuyu Zhang, Bing Qin, Mao Zheng, Graeme Hirst, Ting Liu. 524-533 [doi]
• A Strategic Reasoning Model for Generating Alternative AnswersJon Scott Stevens, Anton Benz, Sebastian Reuße, Ralf Klabunde. 534-542 [doi]
• Modeling Argument Strength in Student EssaysIsaac Persing, Vincent Ng. 543-552 [doi]
• Summarization of Multi-Document Topic Hierarchies using Submodular MixturesRamakrishna Bairi, Rishabh K. Iyer, Ganesh Ramakrishnan, Jeff A. Bilmes. 553-563 [doi]
• Learning to Explain Entity Relationships in Knowledge GraphsNikos Voskarides, Edgar Meij, Manos Tsagkias, Maarten de Rijke, Wouter Weerkamp. 564-574 [doi]
• Bring you to the past: Automatic Generation of Topically Relevant Event ChroniclesTao Ge, Wenzhe Pei, Heng Ji, Sujian Li, Baobao Chang, Zhifang Sui. 575-585 [doi]
• Context-aware Entity Morph DecodingBoliang Zhang, Hongzhao Huang, Xiaoman Pan, Sujian Li, Chin-Yew Lin, Heng Ji, Kevin Knight, Zhen Wen, Yizhou Sun, Jiawei Han, Bülent Yener. 586-595 [doi]
• Multi-Objective Optimization for the Joint Disambiguation of Nouns and Named EntitiesDirk Weissenborn, Leonhard Hennig, Feiyu Xu, Hans Uszkoreit. 596-605 [doi]
• Building a Scientific Concept Hierarchy Database (SCHBase)Eytan Adar, Srayan Datta. 606-615 [doi]
• Sentiment-Aspect Extraction based on Restricted Boltzmann MachinesLinlin Wang, Kang Liu, Zhu Cao, Jun Zhao 0001, Gerard de Melo. 616-625 [doi]
• Classifying Relations by Ranking with Convolutional Neural NetworksCícero Nogueira dos Santos, Bing Xiang, Bowen Zhou. 626-634 [doi]
• Semantic Representations for Domain Adaptation: A Case Study on the Tree Kernel-based Method for Relation ExtractionThien Huu Nguyen, Barbara Plank, Ralph Grishman. 635-644 [doi]
• Omnia Mutantur, Nihil Interit: Connecting Past with Present by Finding Corresponding Terms across TimeYating Zhang, Adam Jatowt, Sourav S. Bhowmick, Katsumi Tanaka. 645-655 [doi]
• Negation and Speculation Identification in Chinese LanguageBowei Zou, Qiaoming Zhu, Guodong Zhou. 656-665 [doi]
• Learning Relational Features with Backward Random WalksNi Lao, Einat Minkov, William W. Cohen. 666-675 [doi]
• Learning the Semantics of Manipulation ActionYezhou Yang, Yiannis Aloimonos, Cornelia Fermüller, Eren Erdal Aksoy. 676-686 [doi]
• Knowledge Graph Embedding via Dynamic Mapping MatrixGuoliang Ji, Shizhu He, Liheng Xu, Kang Liu, Jun Zhao 0001. 687-696 [doi]
• How Far are We from Fully Automatic High Quality Grammatical Error Correction?Christopher Bryant, Hwee Tou Ng. 697-707 [doi]
• Knowledge Portability with Semantic Expansion of Ontology LabelsMihael Arcan, Marco Turchi, Paul Buitelaar. 708-718 [doi]
• Automatic disambiguation of English punsTristan Miller, Iryna Gurevych. 719-729 [doi]
• Unsupervised Cross-Domain Word Representation LearningDanushka Bollegala, Takanori Maehara, Ken-ichi Kawarabayashi. 730-740 [doi]
• A Unified Multilingual Semantic Representation of ConceptsJosé Camacho-Collados, Mohammad Taher Pilehvar, Roberto Navigli. 741-751 [doi]
• Demographic Factors Improve Classification PerformanceDirk Hovy. 752-762 [doi]
• Vector-space calculation of semantic surprisal for predicting word pronunciation durationAsad B. Sayeed, Stefan Fischer, Vera Demberg. 763-773 [doi]
• Efficient Methods for Inferring Large Sparse Topic HierarchiesDoug Downey, Chandra Bhagavatula, Yi Yang. 774-784 [doi]
• Trans-dimensional Random Fields for Language ModelingBin Wang, Zhijian Ou, Zhiqiang Tan. 785-794 [doi]
• Gaussian LDA for Topic Models with Word EmbeddingsRajarshi Das, Manzil Zaheer, Chris Dyer. 795-804 [doi]
• Pairwise Neural Machine Translation EvaluationFrancisco Guzmán, Shafiq R. Joty, Lluís Màrquez, Preslav Nakov. 805-814 [doi]
• String-to-Tree Multi Bottom-up Tree TransducersNina Seemann, Fabienne Braune, Andreas Maletti. 815-824 [doi]
• Non-linear Learning for Statistical Machine TranslationShujian Huang, Huadong Chen, Xinyu Dai, Jiajun Chen. 825-835 [doi]
• Unifying Bayesian Inference and Vector Space Models for Improved DeciphermentQing Dou, Ashish Vaswani, Kevin Knight, Chris Dyer. 836-845 [doi]
• Non-projective Dependency-based Pre-Reordering with Recurrent Neural Network for Machine TranslationAntonio Valerio Miceli Barone, Giuseppe Attardi. 846-856 [doi]
• Detecting Deceptive Groups Using Conversations and Network AnalysisDian Yu, Yulia Tyshchuk, Heng Ji, William A. Wallace. 857-866 [doi]
• WikiKreator: Improving Wikipedia Stubs AutomaticallySiddhartha Banerjee, Prasenjit Mitra. 867-877 [doi]
• Language to Code: Learning Semantic Parsers for If-This-Then-That RecipesChris Quirk, Raymond J. Mooney, Michel Galley. 878-888 [doi]
• Deep Questions without Deep UnderstandingIgor Labutov, Sumit Basu, Lucy Vanderwende. 889-898 [doi]
• The NL2KR Platform for building Natural Language Translation SystemsNguyen Ha Vo, Arindam Mitra, Chitta Baral. 899-908 [doi]
• Multiple Many-to-Many Sequence Alignment for Combining String-Valued Variables: A G2P ExperimentSteffen Eger. 909-919 [doi]
• Tweet Normalization with SyllablesKe Xu, Yunqing Xia, Chin-Hui Lee. 920-928 [doi]
• Improving Named Entity Recognition in Tweets via Detecting Non-Standard WordsChen Li, Yang Liu. 929-938 [doi]
• A Unified Kernel Approach for Learning Typed Sentence RewritingsMartin Gleize, Brigitte Grau. 939-949 [doi]
• Perceptually Grounded Selectional PreferencesEkaterina Shutova, Niket Tandon, Gerard de Melo. 950-960 [doi]
• Joint Case Argument Identification for Japanese Predicate Argument Structure AnalysisHiroki Ouchi, Hiroyuki Shindo, Kevin Duh, Yuji Matsumoto. 961-970 [doi]
• Jointly optimizing word representations for lexical and sentential tasks with the C-PHRASE modelNghia The Pham, Germán Kruszewski, Angeliki Lazaridou, Marco Baroni. 971-981 [doi]
• Robust Subgraph Generation Improves Abstract Meaning Representation ParsingKeenon Werling, Gabor Angeli, Christopher D. Manning. 982-991 [doi]
• Environment-Driven Lexicon Induction for High-Level InstructionsDipendra Kumar Misra, Kejia Tao, Percy Liang, Ashutosh Saxena. 992-1002 [doi]
• Structural Representations for Learning Relations between Pairs of TextsSimone Filice, Giovanni Da San Martino, Alessandro Moschitti. 1003-1013 [doi]
• Learning Semantic Representations of Users and Products for Document Level Sentiment ClassificationDuyu Tang, Bing Qin, Ting Liu. 1014-1023 [doi]
• Towards Debugging Sentiment LexiconsAndrew Schneider, Eduard C. Dragut. 1024-1034 [doi]
• Sparse, Contextually Informed Models for Irony Detection: Exploiting User Communities, Entities and SentimentByron C. Wallace, Do Kook Choe, Eugene Charniak. 1035-1044 [doi]
• Sentence-level Emotion Classification with Label and Context DependenceShoushan Li, Lei Huang, Rong Wang, Guodong Zhou. 1045-1053 [doi]
• Co-training for Semi-supervised Sentiment Classification Based on Dual-view Bags-of-words RepresentationRui Xia, Cheng Wang, Xin-Yu Dai, Tao Li. 1054-1063 [doi]
• Improving social relationships in face-to-face human-agent interactions: when the agent wants to know user's likes and dislikesCaroline Langlet, Chloé Clavel. 1064-1073 [doi]
• Learning Word Representations from Scarce and Noisy Data with Embedding SubspacesRamón Fernandez Astudillo, Silvio Amir, Wang Ling, Mário Silva, Isabel Trancoso. 1074-1084 [doi]
• Automatic Spontaneous Speech Grading: A Novel Feature Derivation Technique using the CrowdVinay Shashidhar, Nishant Pandey, Varun Aggarwal. 1085-1094 [doi]
• Driving ROVER with Segment-based ASR Quality EstimationShahab Jalalvand, Matteo Negri, Daniele Falavigna, Marco Turchi. 1095-1105 [doi]
• A Hierarchical Neural Autoencoder for Paragraphs and DocumentsJiwei Li, Minh-Thang Luong, Dan Jurafsky. 1106-1115 [doi]
• Joint Dependency Parsing and Multiword Expression TokenizationAlexis Nasr, Carlos Ramisch, José Deulofeu, André Valli. 1116-1126 [doi]
• End-to-end learning of semantic role labeling using recurrent neural networksJie Zhou, Wei Xu. 1127-1137 [doi]
• Feature Optimization for Constituent Parsing via Neural NetworksZhiguo Wang, Haitao Mi, Nianwen Xue. 1138-1147 [doi]
• Identifying Cascading Errors using Constraints in Dependency ParsingDominick Ng, James R. Curran. 1148-1158 [doi]
• A Re-ranking Model for Dependency Parser with Recursive Convolutional Neural NetworkChenxi Zhu, Xipeng Qiu, Xinchi Chen, Xuanjing Huang. 1159-1168 [doi]
• Transition-based Neural Constituent ParsingTaro Watanabe, Eiichiro Sumita. 1169-1179 [doi]
• Feature Selection in Kernel Space: A Case Study on Dependency ParsingXian Qian, Yang Liu 0004. 1180-1190 [doi]
• Semantic Role Labeling Improves Incremental ParsingIoannis Konstas, Frank Keller. 1191-1201 [doi]
• Discontinuous Incremental Shift-reduce ParsingWolfgang Maier. 1202-1212 [doi]
• A Neural Probabilistic Structured-Prediction Model for Transition-Based Dependency ParsingHao Zhou, Yue Zhang, Shujian Huang, Jiajun Chen. 1213-1222 [doi]
• Parsing Paraphrases with Joint InferenceDo Kook Choe, David McClosky. 1223-1233 [doi]
• Cross-lingual Dependency Parsing Based on Distributed RepresentationsJiang Guo, Wanxiang Che, David Yarowsky, Haifeng Wang, Ting Liu. 1234-1244 [doi]
• Can Natural Language Processing Become Natural Language Coaching?Marti A. Hearst. 1245-1252 [doi]
• Machine Comprehension with Discourse RelationsKarthik Narasimhan, Regina Barzilay. 1253-1262 [doi]
• Implicit Role Linking on Chinese Discourse: Exploiting Explicit Roles and Frame-to-Frame RelationsRu Li, Juan Wu, Zhiqiang Wang, Qinghua Chai. 1263-1271 [doi]
• Discourse-sensitive Automatic Identification of Generic ExpressionsAnnemarie Friedrich, Manfred Pinkal. 1272-1281 [doi]
• Model-based Word Embeddings from Decompositions of Count MatricesKarl Stratos, Michael Collins, Daniel J. Hsu. 1282-1291 [doi]
• Entity Hierarchy EmbeddingZhiting Hu, Poyao Huang, Yuntian Deng, Yingkai Gao, Eric P. Xing. 1292-1300 [doi]
• Orthogonality of Syntax and Semantics within Distributional SpacesJeff Mitchell, Mark Steedman. 1301-1310 [doi]
• Scalable Semantic Parsing with Partial OntologiesEunsol Choi, Tom Kwiatkowski, Luke Zettlemoyer. 1311-1320 [doi]
• Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge BaseWen-tau Yih, Ming-Wei Chang, Xiaodong He, Jianfeng Gao. 1321-1331 [doi]
• Building a Semantic Parser OvernightYushi Wang, Jonathan Berant, Percy Liang. 1332-1342 [doi]
• Predicting Polarities of Tweets by Composing Word Embeddings with Long Short-Term MemoryXin Wang, Yuanchao Liu, Chengjie Sun, Baoxun Wang, Xiaolong Wang. 1343-1353 [doi]
• Topic Modeling based Sentiment Analysis on Social Media for Stock Market PredictionThien Hai Nguyen, Kiyoaki Shirai. 1354-1364 [doi]
• Learning Tag Embeddings and Tag-specific Composition Functions in Recursive Neural NetworkQiao Qian, Bo Tian, Minlie Huang, Yang Liu, Xuan Zhu, Xiaoyan Zhu. 1365-1374 [doi]
• A convex and feature-rich discriminative approach to dependency grammar inductionEdouard Grave, Noémie Elhadad. 1375-1384 [doi]
• Parse Imputation for Dependency AnnotationsJason Mielens, Liang Sun, Jason Baldridge. 1385-1394 [doi]
• Probing the Linguistic Strengths and Limitations of Unsupervised Grammar InductionYonatan Bisk, Julia Hockenmaier. 1395-1404 [doi]
• Entity-Centric Coreference Resolution with Model StackingKevin Clark, Christopher D. Manning. 1405-1415 [doi]
• Learning Anaphoricity and Antecedent Ranking Features for Coreference ResolutionSam Wiseman, Alexander M. Rush, Stuart M. Shieber, Jason Weston. 1416-1426 [doi]
• Transferring Coreference Resolvers with Posterior RegularizationAndré F. T. Martins. 1427-1437 [doi]
• Tea Party in the House: A Hierarchical Ideal Point Topic Model and Its Application to Republican Legislators in the 112th CongressViet-An Nguyen, Jordan L. Boyd-Graber, Philip Resnik, Kristina Miler. 1438-1448 [doi]
• KB-LDA: Jointly Learning a Knowledge Base of Hierarchy, Relations, and FactsDana Movshovitz-Attias, William W. Cohen. 1449-1459 [doi]
• A Computationally Efficient Algorithm for Learning Topical Collocation ModelsZhendong Zhao, Lan Du, Benjamin Börschinger, John K. Pate, Massimiliano Ciaramita, Mark Steedman, Mark Johnson. 1460-1469 [doi]
• Compositional Semantic Parsing on Semi-Structured TablesPanupong Pasupat, Percy Liang. 1470-1480 [doi]
• Graph parsing with s-graph grammarsJonas Groschwitz, Alexander Koller, Christoph Teichmann. 1481-1490 [doi]
• Sparse Overcomplete Word Vector RepresentationsManaal Faruqui, Yulia Tsvetkov, Dani Yogatama, Chris Dyer, Noah A. Smith. 1491-1500 [doi]
• Learning Semantic Word Embeddings based on Ordinal Knowledge ConstraintsQuan Liu, Hui Jiang 0001, Si Wei, Zhen-Hua Ling, Yu Hu. 1501-1511 [doi]
• Adding Semantics to Data-Driven ParaphrasingEllie Pavlick, Johan Bos, Malvina Nissim, Charley Beller, Benjamin Van Durme, Chris Callison-Burch. 1512-1522 [doi]
• Parsing as ReductionDaniel Fernández-González, André F. T. Martins. 1523-1533 [doi]
• Optimal Shift-Reduce Constituent Parsing with Structured PerceptronLe Quang Thang, Hiroshi Noji, Yusuke Miyao. 1534-1544 [doi]
• A Data-Driven, Factorization Parser for CCG Dependency StructuresYantao Du, Weiwei Sun, Xiaojun Wan. 1545-1555 [doi]
• Improved Semantic Representations From Tree-Structured Long Short-Term Memory NetworksKai Sheng Tai, Richard Socher, Christopher D. Manning. 1556-1566 [doi]
• genCNN: A Convolutional Architecture for Word Sequence PredictionMingxuan Wang, Zhengdong Lu, Hang Li, Wenbin Jiang, Qun Liu. 1567-1576 [doi]
• Neural Responding Machine for Short-Text ConversationLifeng Shang, Zhengdong Lu, Hang Li. 1577-1586 [doi]
• Abstractive Multi-Document Summarization via Phrase Selection and MergingLidong Bing, Piji Li, Yi Liao, Wai Lam, Weiwei Guo, Rebecca J. Passonneau. 1587-1597 [doi]
• Joint Graphical Models for Date Selection in Timeline SummarizationGiang Binh Tran, Eelco Herder, Katja Markert. 1598-1607 [doi]
• Predicting Salient Updates for Disaster SummarizationChris Kedzie, Kathleen McKeown, Fernando Diaz. 1608-1617 [doi]
• Unsupervised Prediction of Acceptability JudgementsJey Han Lau, Alexander Clark, Shalom Lappin. 1618-1628 [doi]
• A Frame of Mind: Using Statistical Models for Detection of Framing and Agenda Setting CampaignsOren Tsur, Dan Calacci, David Lazer. 1629-1638 [doi]
• Why discourse affects speakers' choice of referring expressionsNaho Orita, Eliana Vornov, Naomi Feldman, Hal Daumé III. 1639-1649 [doi]
• Linguistic Harbingers of Betrayal: A Case Study on an Online Strategy GameVlad Niculae, Srijan Kumar, Jordan L. Boyd-Graber, Cristian Danescu-Niculescu-Mizil. 1650-1659 [doi]
• Who caught a cold ? - Identifying the subject of a symptomShin Kanouchi, Mamoru Komachi, Naoaki Okazaki, Eiji Aramaki, Hiroshi Ishikawa 0004. 1660-1670 [doi]
• Weakly Supervised Role Identification in Teamwork InteractionsDiyi Yang, Miaomiao Wen, Carolyn Penstein Rosé. 1671-1680 [doi]
• Deep Unordered Composition Rivals Syntactic Methods for Text ClassificationMohit Iyyer, Varun Manjunatha, Jordan L. Boyd-Graber, Hal Daumé III. 1681-1691 [doi]
• SOLAR: Scalable Online Learning Algorithms for RankingJialei Wang, Ji Wan, Yongdong Zhang, Steven C. H. Hoi. 1692-1701 [doi]
• Text Categorization as a Graph Classification ProblemFrançois Rousseau 0001, Emmanouil Kiagias, Michalis Vazirgiannis. 1702-1712 [doi]
• Inverted indexing for cross-lingual NLPAnders Søgaard, Zeljko Agic, Héctor Martínez Alonso, Barbara Plank, Bernd Bohnet, Anders Johannsen. 1713-1722 [doi]
• Multi-Task Learning for Multiple Language TranslationDaxiang Dong, Hua Wu, Wei He, Dianhai Yu, Haifeng Wang. 1723-1732 [doi]
• Accurate Linear-Time Chinese Word Segmentation via Embedding MatchingJianqiang Ma, Erhard W. Hinrichs. 1733-1743 [doi]
• Gated Recursive Neural Network for Chinese Word SegmentationXinchi Chen, Xipeng Qiu, Chenxi Zhu, Xuanjing Huang. 1744-1753 [doi]
• An analysis of the user occupational class through Twitter contentDaniel Preotiuc-Pietro, Vasileios Lampos, Nikolaos Aletras. 1754-1764 [doi]
• Tracking unbounded Topic StreamsDominik Wurzer, Victor Lavrenko, Miles Osborne. 1765-1773 [doi]
• Inducing Word and Part-of-Speech with Pitman-Yor Hidden Semi-Markov ModelsKei Uchiumi, Hiroshi Tsukahara, Daichi Mochihashi. 1774-1782 [doi]
• Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case StudyZhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 1783-1792 [doi]
• AutoExtend: Extending Word Embeddings to Embeddings for Synsets and LexemesSascha Rothe, Hinrich Schütze. 1793-1803 [doi]
• Improving Evaluation of Machine Translation Quality EstimationYvette Graham. 1804-1813 [doi]