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ORCID53rd ACL 2015: Beijing, China
- Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, ACL 2015, July 26-31, 2015, Beijing, China, Volume 1: Long Papers. The Association for Computer Linguistics 2015, ISBN 978-1-941643-72-3
- Sébastien Jean, KyungHyun Cho, Roland Memisevic, Yoshua Bengio:
On Using Very Large Target Vocabulary for Neural Machine Translation. 1-10 - Thang Luong, Ilya Sutskever, Quoc V. Le, Oriol Vinyals, Wojciech Zaremba:
Addressing the Rare Word Problem in Neural Machine Translation. 11-19 - Fandong Meng, Zhengdong Lu, Mingxuan Wang, Hang Li, Wenbin Jiang, Qun Liu:
Encoding Source Language with Convolutional Neural Network for Machine Translation. 20-30 - Hendra Setiawan, Zhongqiang Huang, Jacob Devlin, Thomas Lamar, Rabih Zbib, Richard M. Schwartz, John Makhoul:
Statistical Machine Translation Features with Multitask Tensor Networks. 31-41 - Desmond Elliott
, Arjen P. de Vries:
Describing Images using Inferred Visual Dependency Representations. 42-52 - Angel X. Chang, Will Monroe, Manolis Savva, Christopher Potts, Christopher D. Manning:
Text to 3D Scene Generation with Rich Lexical Grounding. 53-62 - Wenpeng Yin, Hinrich Schütze:
MultiGranCNN: An Architecture for General Matching of Text Chunks on Multiple Levels of Granularity. 63-73 - Arti Ramesh, Shachi H. Kumar, James R. Foulds, Lise Getoor:
Weakly Supervised Models of Aspect-Sentiment for Online Course Discussion Forums. 74-83 - Shu Guo, Quan Wang, Bin Wang, Lihong Wang, Li Guo:
Semantically Smooth Knowledge Graph Embedding. 84-94 - Ignacio Iacobacci, Mohammad Taher Pilehvar, Roberto Navigli:
SensEmbed: Learning Sense Embeddings for Word and Relational Similarity. 95-105 - Zhigang Chen, Wei Lin, Qian Chen, Xiaoping Chen, Si Wei, Hui Jiang, Xiaodan Zhu:
Revisiting Word Embedding for Contrasting Meaning. 106-115 - Dhanya Sridhar, James R. Foulds, Bert Huang, Lise Getoor, Marilyn A. Walker:
Joint Models of Disagreement and Stance in Online Debate. 116-125 - Audi Primadhanty, Xavier Carreras, Ariadna Quattoni:
Low-Rank Regularization for Sparse Conjunctive Feature Spaces: An Application to Named Entity Classification. 126-135 - Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations. 136-145 - Emma Strubell, Luke Vilnis, Kate Silverstein, Andrew McCallum:
Learning Dynamic Feature Selection for Fast Sequential Prediction. 146-155 - Arvind Neelakantan, Benjamin Roth, Andrew McCallum:
Compositional Vector Space Models for Knowledge Base Completion. 156-166 - Yubo Chen, Liheng Xu, Kang Liu, Daojian Zeng, Jun Zhao:
Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks. 167-176 - Vidhoon Viswanathan, Nazneen Fatema Rajani, Yinon Bentor, Raymond J. Mooney:
Stacked Ensembles of Information Extractors for Knowledge-Base Population. 177-187 - Kiem-Hieu Nguyen, Xavier Tannier, Olivier Ferret, Romaric Besançon:
Generative Event Schema Induction with Entity Disambiguation. 188-197 - Yusuke Oda, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
Syntax-based Simultaneous Translation through Prediction of Unseen Syntactic Constituents. 198-207 - Tetsuji Nakagawa:
Efficient Top-Down BTG Parsing for Machine Translation Preordering. 208-218 - José Guilherme Camargo de Souza, Matteo Negri, Elisa Ricci, Marco Turchi:
Online Multitask Learning for Machine Translation Quality Estimation. 219-228 - Jinsong Su, Deyi Xiong, Yang Liu, Xianpei Han, Hongyu Lin, Junfeng Yao, Min Zhang:
A Context-Aware Topic Model for Statistical Machine Translation. 229-238 - Mrinmaya Sachan, Kumar Avinava Dubey, Eric P. Xing, Matthew Richardson:
Learning Answer-Entailing Structures for Machine Comprehension. 239-249 - Guangyou Zhou, Tingting He, Jun Zhao, Po Hu:
Learning Continuous Word Embedding with Metadata for Question Retrieval in Community Question Answering. 250-259 - Li Dong, Furu Wei, Ming Zhou, Ke Xu:
Question Answering over Freebase with Multi-Column Convolutional Neural Networks. 260-269 - Angeliki Lazaridou, Georgiana Dinu, Marco Baroni:
Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot Learning. 270-280 - Antoine Bride, Tim Van de Cruys, Nicholas Asher:
A Generalisation of Lexical Functions for Composition in Distributional Semantics. 281-291 - Casey Kennington, David Schlangen:
Simple Learning and Compositional Application of Perceptually Grounded Word Meanings for Incremental Reference Resolution. 292-301 - Greg Durrett, Dan Klein:
Neural CRF Parsing. 302-312 - Wenzhe Pei, Tao Ge, Baobao Chang:
An Effective Neural Network Model for Graph-based Dependency Parsing. 313-322 - David Weiss, Chris Alberti, Michael Collins, Slav Petrov:
Structured Training for Neural Network Transition-Based Parsing. 323-333 - Chris Dyer, Miguel Ballesteros, Wang Ling, Austin Matthews, Noah A. Smith:
Transition-Based Dependency Parsing with Stack Long Short-Term Memory. 334-343 - Gabor Angeli, Melvin Jose Johnson Premkumar, Christopher D. Manning:
Leveraging Linguistic Structure For Open Domain Information Extraction. 344-354 - William Yang Wang, William W. Cohen:
Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach. 355-364 - Ndapandula Nakashole, Tom M. Mitchell:
A Knowledge-Intensive Model for Prepositional Phrase Attachment. 365-375 - Maksim Tkachenko, Hady Wirawan Lauw:
A Convolution Kernel Approach to Identifying Comparisons in Text. 376-386 - Jinho D. Choi, Joel R. Tetreault, Amanda Stent:
It Depends: Dependency Parser Comparison Using A Web-based Evaluation Tool. 387-396 - Alan Akbik, Laura Chiticariu, Marina Danilevsky, Yunyao Li, Shivakumar Vaithyanathan, Huaiyu Zhu:
Generating High Quality Proposition Banks for Multilingual Semantic Role Labeling. 397-407 - Mariana S. C. Almeida, Cláudia Pinto, Helena Figueira, Pedro Mendes, André F. T. Martins:
Aligning Opinions: Cross-Lingual Opinion Mining with Dependencies. 408-418 - Qiang Chen, Wenjie Li, Yu Lei, Xule Liu, Yanxiang He:
Learning to Adapt Credible Knowledge in Cross-lingual Sentiment Analysis. 419-429 - Huiwei Zhou, Long Chen, Fulin Shi, Degen Huang:
Learning Bilingual Sentiment Word Embeddings for Cross-language Sentiment Classification. 430-440 - Rahul Jha, Catherine Finegan-Dollak, Ben King, Reed Coke, Dragomir R. Radev:
Content Models for Survey Generation: A Factoid-Based Evaluation. 441-450 - Ondrej Dusek, Filip Jurcícek:
Training a Natural Language Generator From Unaligned Data. 451-461 - Rui Sun, Yue Zhang, Meishan Zhang, Dong-Hong Ji:
Event-Driven Headline Generation. 462-472 - Young-Bum Kim, Karl Stratos, Ruhi Sarikaya, Minwoo Jeong:
New Transfer Learning Techniques for Disparate Label Sets. 473-482 - Yun-Nung Chen, William Yang Wang, Anatole Gershman, Alexander I. Rudnicky:
Matrix Factorization with Knowledge Graph Propagation for Unsupervised Spoken Language Understanding. 483-494 - Shuangzhi Wu, Dongdong Zhang, Ming Zhou, Tiejun Zhao:
Efficient Disfluency Detection with Transition-based Parsing. 495-503 - Yi Yang, Ming-Wei Chang:
S-MART: Novel Tree-based Structured Learning Algorithms Applied to Tweet Entity Linking. 504-513 - Chunliang Lu, Wai Lam, Yi Liao:
Entity Retrieval via Entity Factoid Hierarchy. 514-523 - Muyu Zhang, Bing Qin, Mao Zheng, Graeme Hirst, Ting Liu:
Encoding Distributional Semantics into Triple-Based Knowledge Ranking for Document Enrichment. 524-533 - Jon Scott Stevens, Anton Benz, Sebastian Reuße, Ralf Klabunde:
A Strategic Reasoning Model for Generating Alternative Answers. 534-542 - Isaac Persing, Vincent Ng:
Modeling Argument Strength in Student Essays. 543-552 - Ramakrishna Bairi, Rishabh K. Iyer, Ganesh Ramakrishnan, Jeff A. Bilmes:
Summarization of Multi-Document Topic Hierarchies using Submodular Mixtures. 553-563 - Nikos Voskarides, Edgar Meij, Manos Tsagkias, Maarten de Rijke, Wouter Weerkamp:
Learning to Explain Entity Relationships in Knowledge Graphs. 564-574 - Tao Ge, Wenzhe Pei, Heng Ji, Sujian Li, Baobao Chang, Zhifang Sui:
Bring you to the past: Automatic Generation of Topically Relevant Event Chronicles. 575-585 - Boliang Zhang, Hongzhao Huang, Xiaoman Pan, Sujian Li, Chin-Yew Lin, Heng Ji, Kevin Knight, Zhen Wen, Yizhou Sun, Jiawei Han, Bülent Yener:
Context-aware Entity Morph Decoding. 586-595 - Dirk Weissenborn, Leonhard Hennig, Feiyu Xu, Hans Uszkoreit:
Multi-Objective Optimization for the Joint Disambiguation of Nouns and Named Entities. 596-605 - Eytan Adar, Srayan Datta:
Building a Scientific Concept Hierarchy Database (SCHBase). 606-615 - Linlin Wang, Kang Liu, Zhu Cao, Jun Zhao, Gerard de Melo:
Sentiment-Aspect Extraction based on Restricted Boltzmann Machines. 616-625 - Cícero Nogueira dos Santos, Bing Xiang, Bowen Zhou:
Classifying Relations by Ranking with Convolutional Neural Networks. 626-634 - Thien Huu Nguyen, Barbara Plank, Ralph Grishman:
Semantic Representations for Domain Adaptation: A Case Study on the Tree Kernel-based Method for Relation Extraction. 635-644 - Yating Zhang, Adam Jatowt, Sourav S. Bhowmick, Katsumi Tanaka:
Omnia Mutantur, Nihil Interit: Connecting Past with Present by Finding Corresponding Terms across Time. 645-655 - Bowei Zou, Qiaoming Zhu, Guodong Zhou:
Negation and Speculation Identification in Chinese Language. 656-665 - Ni Lao, Einat Minkov, William W. Cohen:
Learning Relational Features with Backward Random Walks. 666-675 - Yezhou Yang, Yiannis Aloimonos, Cornelia Fermüller, Eren Erdal Aksoy:
Learning the Semantics of Manipulation Action. 676-686 - Guoliang Ji, Shizhu He, Liheng Xu, Kang Liu, Jun Zhao:
Knowledge Graph Embedding via Dynamic Mapping Matrix. 687-696 - Christopher Bryant, Hwee Tou Ng:
How Far are We from Fully Automatic High Quality Grammatical Error Correction? 697-707 - Mihael Arcan, Marco Turchi, Paul Buitelaar:
Knowledge Portability with Semantic Expansion of Ontology Labels. 708-718 - Tristan Miller, Iryna Gurevych:
Automatic disambiguation of English puns. 719-729 - Danushka Bollegala, Takanori Maehara, Ken-ichi Kawarabayashi:
Unsupervised Cross-Domain Word Representation Learning. 730-740 - José Camacho-Collados, Mohammad Taher Pilehvar, Roberto Navigli:
A Unified Multilingual Semantic Representation of Concepts. 741-751 - Dirk Hovy:
Demographic Factors Improve Classification Performance. 752-762 - Asad B. Sayeed, Stefan Fischer, Vera Demberg:
Vector-space calculation of semantic surprisal for predicting word pronunciation duration. 763-773 - Doug Downey, Chandra Bhagavatula, Yi Yang:
Efficient Methods for Inferring Large Sparse Topic Hierarchies. 774-784 - Bin Wang, Zhijian Ou, Zhiqiang Tan:
Trans-dimensional Random Fields for Language Modeling. 785-794 - Rajarshi Das, Manzil Zaheer, Chris Dyer:
Gaussian LDA for Topic Models with Word Embeddings. 795-804 - Francisco Guzmán, Shafiq R. Joty, Lluís Màrquez, Preslav Nakov:
Pairwise Neural Machine Translation Evaluation. 805-814 - Nina Seemann, Fabienne Braune, Andreas Maletti:
String-to-Tree Multi Bottom-up Tree Transducers. 815-824 - Shujian Huang, Huadong Chen, Xinyu Dai, Jiajun Chen:
Non-linear Learning for Statistical Machine Translation. 825-835 - Qing Dou, Ashish Vaswani, Kevin Knight, Chris Dyer:
Unifying Bayesian Inference and Vector Space Models for Improved Decipherment. 836-845 - Antonio Valerio Miceli Barone, Giuseppe Attardi:
Non-projective Dependency-based Pre-Reordering with Recurrent Neural Network for Machine Translation. 846-856 - Dian Yu, Yulia Tyshchuk, Heng Ji, William A. Wallace:
Detecting Deceptive Groups Using Conversations and Network Analysis. 857-866 - Siddhartha Banerjee, Prasenjit Mitra:
WikiKreator: Improving Wikipedia Stubs Automatically. 867-877 - Chris Quirk, Raymond J. Mooney, Michel Galley:
Language to Code: Learning Semantic Parsers for If-This-Then-That Recipes. 878-888 - Igor Labutov, Sumit Basu, Lucy Vanderwende:
Deep Questions without Deep Understanding. 889-898 - Nguyen Ha Vo, Arindam Mitra, Chitta Baral:
The NL2KR Platform for building Natural Language Translation Systems. 899-908 - Steffen Eger:
Multiple Many-to-Many Sequence Alignment for Combining String-Valued Variables: A G2P Experiment. 909-919 - Ke Xu, Yunqing Xia, Chin-Hui Lee:
Tweet Normalization with Syllables. 920-928 - Chen Li, Yang Liu:
Improving Named Entity Recognition in Tweets via Detecting Non-Standard Words. 929-938 - Martin Gleize, Brigitte Grau:
A Unified Kernel Approach for Learning Typed Sentence Rewritings. 939-949 - Ekaterina Shutova, Niket Tandon, Gerard de Melo:
Perceptually Grounded Selectional Preferences. 950-960 - Hiroki Ouchi, Hiroyuki Shindo, Kevin Duh, Yuji Matsumoto:
Joint Case Argument Identification for Japanese Predicate Argument Structure Analysis. 961-970 - Nghia The Pham, Germán Kruszewski, Angeliki Lazaridou, Marco Baroni:
Jointly optimizing word representations for lexical and sentential tasks with the C-PHRASE model. 971-981 - Keenon Werling, Gabor Angeli, Christopher D. Manning:
Robust Subgraph Generation Improves Abstract Meaning Representation Parsing. 982-991 - Dipendra Kumar Misra, Kejia Tao, Percy Liang, Ashutosh Saxena:
Environment-Driven Lexicon Induction for High-Level Instructions. 992-1002 - Simone Filice, Giovanni Da San Martino, Alessandro Moschitti:
Structural Representations for Learning Relations between Pairs of Texts. 1003-1013 - Duyu Tang, Bing Qin, Ting Liu:
Learning Semantic Representations of Users and Products for Document Level Sentiment Classification. 1014-1023 - Andrew T. Schneider, Eduard C. Dragut:
Towards Debugging Sentiment Lexicons. 1024-1034 - Byron C. Wallace, Do Kook Choe, Eugene Charniak:
Sparse, Contextually Informed Models for Irony Detection: Exploiting User Communities, Entities and Sentiment. 1035-1044 - Shoushan Li, Lei Huang, Rong Wang, Guodong Zhou:
Sentence-level Emotion Classification with Label and Context Dependence. 1045-1053 - Rui Xia, Cheng Wang, Xin-Yu Dai, Tao Li:
Co-training for Semi-supervised Sentiment Classification Based on Dual-view Bags-of-words Representation. 1054-1063 - Caroline Langlet, Chloé Clavel:
Improving social relationships in face-to-face human-agent interactions: when the agent wants to know user's likes and dislikes. 1064-1073 - Ramón Fernandez Astudillo, Silvio Amir, Wang Ling, Mário J. Silva, Isabel Trancoso:
Learning Word Representations from Scarce and Noisy Data with Embedding Subspaces. 1074-1084 - Vinay Shashidhar, Nishant Pandey, Varun Aggarwal:
Automatic Spontaneous Speech Grading: A Novel Feature Derivation Technique using the Crowd. 1085-1094 - Shahab Jalalvand, Matteo Negri, Daniele Falavigna, Marco Turchi:
Driving ROVER with Segment-based ASR Quality Estimation. 1095-1105 - Jiwei Li, Minh-Thang Luong, Dan Jurafsky:
A Hierarchical Neural Autoencoder for Paragraphs and Documents. 1106-1115 - Alexis Nasr, Carlos Ramisch, José Deulofeu, André Valli:
Joint Dependency Parsing and Multiword Expression Tokenization. 1116-1126 - Jie Zhou, Wei Xu:
End-to-end learning of semantic role labeling using recurrent neural networks. 1127-1137 - Zhiguo Wang, Haitao Mi, Nianwen Xue:
Feature Optimization for Constituent Parsing via Neural Networks. 1138-1147 - Dominick Ng, James R. Curran:
Identifying Cascading Errors using Constraints in Dependency Parsing. 1148-1158 - Chenxi Zhu, Xipeng Qiu, Xinchi Chen, Xuanjing Huang:
A Re-ranking Model for Dependency Parser with Recursive Convolutional Neural Network. 1159-1168 - Taro Watanabe, Eiichiro Sumita:
Transition-based Neural Constituent Parsing. 1169-1179 - Xian Qian, Yang Liu:
Feature Selection in Kernel Space: A Case Study on Dependency Parsing. 1180-1190 - Ioannis Konstas, Frank Keller:
Semantic Role Labeling Improves Incremental Parsing. 1191-1201 - Wolfgang Maier:
Discontinuous Incremental Shift-reduce Parsing. 1202-1212 - Hao Zhou, Yue Zhang, Shujian Huang, Jiajun Chen:
A Neural Probabilistic Structured-Prediction Model for Transition-Based Dependency Parsing. 1213-1222 - Do Kook Choe, David McClosky:
Parsing Paraphrases with Joint Inference. 1223-1233 - Jiang Guo, Wanxiang Che, David Yarowsky, Haifeng Wang, Ting Liu:
Cross-lingual Dependency Parsing Based on Distributed Representations. 1234-1244 - Marti A. Hearst:
Can Natural Language Processing Become Natural Language Coaching? 1245-1252 - Karthik Narasimhan, Regina Barzilay:
Machine Comprehension with Discourse Relations. 1253-1262 - Ru Li, Juan Wu, Zhiqiang Wang, Qinghua Chai:
Implicit Role Linking on Chinese Discourse: Exploiting Explicit Roles and Frame-to-Frame Relations. 1263-1271 - Annemarie Friedrich, Manfred Pinkal:
Discourse-sensitive Automatic Identification of Generic Expressions. 1272-1281 - Karl Stratos, Michael Collins, Daniel J. Hsu:
Model-based Word Embeddings from Decompositions of Count Matrices. 1282-1291 - Zhiting Hu, Poyao Huang, Yuntian Deng, Yingkai Gao, Eric P. Xing:
Entity Hierarchy Embedding. 1292-1300 - Jeff Mitchell, Mark Steedman:
Orthogonality of Syntax and Semantics within Distributional Spaces. 1301-1310 - Eunsol Choi, Tom Kwiatkowski, Luke Zettlemoyer:
Scalable Semantic Parsing with Partial Ontologies. 1311-1320 - Wen-tau Yih, Ming-Wei Chang, Xiaodong He, Jianfeng Gao:
Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base. 1321-1331 - Yushi Wang, Jonathan Berant, Percy Liang:
Building a Semantic Parser Overnight. 1332-1342 - Xin Wang, Yuanchao Liu, Chengjie Sun, Baoxun Wang, Xiaolong Wang:
Predicting Polarities of Tweets by Composing Word Embeddings with Long Short-Term Memory. 1343-1353 - Thien Hai Nguyen, Kiyoaki Shirai:
Topic Modeling based Sentiment Analysis on Social Media for Stock Market Prediction. 1354-1364 - Qiao Qian, Bo Tian, Minlie Huang, Yang Liu, Xuan Zhu, Xiaoyan Zhu:
Learning Tag Embeddings and Tag-specific Composition Functions in Recursive Neural Network. 1365-1374 - Edouard Grave, Noémie Elhadad:
A convex and feature-rich discriminative approach to dependency grammar induction. 1375-1384 - Jason Mielens, Liang Sun, Jason Baldridge:
Parse Imputation for Dependency Annotations. 1385-1394 - Yonatan Bisk, Julia Hockenmaier:
Probing the Linguistic Strengths and Limitations of Unsupervised Grammar Induction. 1395-1404 - Kevin Clark, Christopher D. Manning:
Entity-Centric Coreference Resolution with Model Stacking. 1405-1415 - Sam Wiseman, Alexander M. Rush, Stuart M. Shieber, Jason Weston:
Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution. 1416-1426 - André F. T. Martins:
Transferring Coreference Resolvers with Posterior Regularization. 1427-1437 - Viet-An Nguyen, Jordan L. Boyd-Graber, Philip Resnik, Kristina Miler:
Tea Party in the House: A Hierarchical Ideal Point Topic Model and Its Application to Republican Legislators in the 112th Congress. 1438-1448 - Dana Movshovitz-Attias, William W. Cohen:
KB-LDA: Jointly Learning a Knowledge Base of Hierarchy, Relations, and Facts. 1449-1459 - Zhendong Zhao, Lan Du, Benjamin Börschinger, John K. Pate, Massimiliano Ciaramita, Mark Steedman, Mark Johnson:
A Computationally Efficient Algorithm for Learning Topical Collocation Models. 1460-1469 - Panupong Pasupat, Percy Liang:
Compositional Semantic Parsing on Semi-Structured Tables. 1470-1480 - Jonas Groschwitz, Alexander Koller, Christoph Teichmann:
Graph parsing with s-graph grammars. 1481-1490 - Manaal Faruqui, Yulia Tsvetkov, Dani Yogatama, Chris Dyer, Noah A. Smith:
Sparse Overcomplete Word Vector Representations. 1491-1500 - Quan Liu, Hui Jiang, Si Wei, Zhen-Hua Ling, Yu Hu:
Learning Semantic Word Embeddings based on Ordinal Knowledge Constraints. 1501-1511 - Ellie Pavlick, Johan Bos, Malvina Nissim, Charley Beller, Benjamin Van Durme, Chris Callison-Burch:
Adding Semantics to Data-Driven Paraphrasing. 1512-1522 - Daniel Fernández-González, André F. T. Martins:
Parsing as Reduction. 1523-1533 - Le Quang Thang, Hiroshi Noji, Yusuke Miyao:
Optimal Shift-Reduce Constituent Parsing with Structured Perceptron. 1534-1544 - Yantao Du, Weiwei Sun, Xiaojun Wan:
A Data-Driven, Factorization Parser for CCG Dependency Structures. 1545-1555 - Kai Sheng Tai, Richard Socher, Christopher D. Manning:
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks. 1556-1566 - Mingxuan Wang, Zhengdong Lu, Hang Li, Wenbin Jiang, Qun Liu:
genCNN: A Convolutional Architecture for Word Sequence Prediction. 1567-1576 - Lifeng Shang, Zhengdong Lu, Hang Li:
Neural Responding Machine for Short-Text Conversation. 1577-1586 - Lidong Bing, Piji Li, Yi Liao, Wai Lam, Weiwei Guo, Rebecca J. Passonneau:
Abstractive Multi-Document Summarization via Phrase Selection and Merging. 1587-1597 - Giang Binh Tran, Eelco Herder, Katja Markert:
Joint Graphical Models for Date Selection in Timeline Summarization. 1598-1607 - Chris Kedzie, Kathleen R. McKeown, Fernando Diaz:
Predicting Salient Updates for Disaster Summarization. 1608-1617 - Jey Han Lau, Alexander Clark, Shalom Lappin:
Unsupervised Prediction of Acceptability Judgements. 1618-1628 - Oren Tsur, Dan Calacci, David Lazer:
A Frame of Mind: Using Statistical Models for Detection of Framing and Agenda Setting Campaigns. 1629-1638 - Naho Orita, Eliana Vornov, Naomi Feldman, Hal Daumé III:
Why discourse affects speakers' choice of referring expressions. 1639-1649 - Vlad Niculae, Srijan Kumar, Jordan L. Boyd-Graber, Cristian Danescu-Niculescu-Mizil:
Linguistic Harbingers of Betrayal: A Case Study on an Online Strategy Game. 1650-1659 - Shin Kanouchi, Mamoru Komachi, Naoaki Okazaki, Eiji Aramaki, Hiroshi Ishikawa:
Who caught a cold ? - Identifying the subject of a symptom. 1660-1670 - Diyi Yang, Miaomiao Wen, Carolyn P. Rosé:
Weakly Supervised Role Identification in Teamwork Interactions. 1671-1680 - Mohit Iyyer, Varun Manjunatha, Jordan L. Boyd-Graber, Hal Daumé III:
Deep Unordered Composition Rivals Syntactic Methods for Text Classification. 1681-1691 - Jialei Wang, Ji Wan, Yongdong Zhang, Steven C. H. Hoi:
SOLAR: Scalable Online Learning Algorithms for Ranking. 1692-1701 - François Rousseau, Emmanouil Kiagias, Michalis Vazirgiannis:
Text Categorization as a Graph Classification Problem. 1702-1712 - Anders Søgaard, Zeljko Agic, Héctor Martínez Alonso, Barbara Plank, Bernd Bohnet, Anders Johannsen:
Inverted indexing for cross-lingual NLP. 1713-1722 - Daxiang Dong, Hua Wu, Wei He, Dianhai Yu, Haifeng Wang:
Multi-Task Learning for Multiple Language Translation. 1723-1732 - Jianqiang Ma, Erhard W. Hinrichs:
Accurate Linear-Time Chinese Word Segmentation via Embedding Matching. 1733-1743 - Xinchi Chen, Xipeng Qiu, Chenxi Zhu, Xuanjing Huang:
Gated Recursive Neural Network for Chinese Word Segmentation. 1744-1753 - Daniel Preotiuc-Pietro, Vasileios Lampos, Nikolaos Aletras:
An analysis of the user occupational class through Twitter content. 1754-1764 - Dominik Wurzer, Victor Lavrenko, Miles Osborne:
Tracking unbounded Topic Streams. 1765-1773 - Kei Uchiumi, Hiroshi Tsukahara, Daichi Mochihashi:
Inducing Word and Part-of-Speech with Pitman-Yor Hidden Semi-Markov Models. 1774-1782 - Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen:
Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. 1783-1792 - Sascha Rothe, Hinrich Schütze:
AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes. 1793-1803 - Yvette Graham:
Improving Evaluation of Machine Translation Quality Estimation. 1804-1813
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