default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID52nd ACL 2014: Baltimore, MD, USA
- Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014, June 22-27, 2014, Baltimore, MD, USA, Volume 1: Long Papers. The Association for Computer Linguistics 2014, ISBN 978-1-937284-72-5
- Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri:
Learning Ensembles of Structured Prediction Rules. 1-12 - Yangfeng Ji, Jacob Eisenstein:
Representation Learning for Text-level Discourse Parsing. 13-24 - Sujian Li, Liang Wang, Ziqiang Cao, Wenjie Li:
Text-level Discourse Dependency Parsing. 25-35 - Ke Zhai, Jason D. Williams
:
Discovering Latent Structure in Task-Oriented Dialogues. 36-46 - Anders Björkelund, Jonas Kuhn:
Learning Structured Perceptrons for Coreference Resolution with Latent Antecedents and Non-local Features. 47-57 - Karl Moritz Hermann, Phil Blunsom:
Multilingual Models for Compositional Distributed Semantics. 58-68 - Woodley Packard, Emily M. Bender, Jonathon Read, Stephan Oepen, Rebecca Dridan:
Simple Negation Scope Resolution through Deep Parsing: A Semantic Solution to a Semantic Problem. 69-78 - Ran Tian, Yusuke Miyao, Takuya Matsuzaki:
Logical Inference on Dependency-based Compositional Semantics. 79-89 - Denis Paperno, Nghia The Pham, Marco Baroni:
A practical and linguistically-motivated approach to compositional distributional semantics. 90-99 - Mohammad Salameh, Colin Cherry, Grzegorz Kondrak:
Lattice Desegmentation for Statistical Machine Translation. 100-110 - Jiajun Zhang, Shujie Liu, Mu Li, Ming Zhou, Chengqing Zong:
Bilingually-constrained Phrase Embeddings for Machine Translation. 111-121 - Shixiang Lu, Zhenbiao Chen, Bo Xu:
Learning New Semi-Supervised Deep Auto-encoder Features for Statistical Machine Translation. 122-132 - Lei Cui, Dongdong Zhang, Shujie Liu, Qiming Chen, Mu Li, Ming Zhou, Muyun Yang:
Learning Topic Representation for SMT with Neural Networks. 133-143 - Ji Ma, Yue Zhang, Jingbo Zhu:
Tagging The Web: Building A Robust Web Tagger with Neural Network. 144-154 - Deepak P, Karthik Visweswariah:
Unsupervised Solution Post Identification from Discussion Forums. 155-164 - Jiwei Li, Alan Ritter, Eduard H. Hovy:
Weakly Supervised User Profile Extraction from Twitter. 165-174 - Chenhao Tan, Lillian Lee, Bo Pang:
The effect of wording on message propagation: Topic- and author-controlled natural experiments on Twitter. 175-185 - Svitlana Volkova, Glen Coppersmith, Benjamin Van Durme:
Inferring User Political Preferences from Streaming Communications. 186-196 - Yuan Zhang, Tao Lei, Regina Barzilay, Tommi S. Jaakkola, Amir Globerson:
Steps to Excellence: Simple Inference with Refined Scoring of Dependency Trees. 197-207 - David Hall, Taylor Berg-Kirkpatrick, Dan Klein:
Sparser, Better, Faster GPU Parsing. 208-217 - Wenduan Xu, Stephen Clark, Yue Zhang:
Shift-Reduce CCG Parsing with a Dependency Model. 218-227 - David Hall, Greg Durrett, Dan Klein:
Less Grammar, More Features. 228-237 - Marco Baroni, Georgiana Dinu, Germán Kruszewski:
Don't count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors. 238-247 - Yulia Tsvetkov, Leonid Boytsov, Anatole Gershman, Eric Nyberg, Chris Dyer:
Metaphor Detection with Cross-Lingual Model Transfer. 248-258 - Jey Han Lau, Paul Cook, Diana McCarthy, Spandana Gella, Timothy Baldwin:
Learning Word Sense Distributions, Detecting Unattested Senses and Identifying Novel Senses Using Topic Models. 259-270 - Nate Kushman, Luke Zettlemoyer, Regina Barzilay, Yoav Artzi:
Learning to Automatically Solve Algebra Word Problems. 271-281 - Mark Johnson, Anne Christophe, Emmanuel Dupoux, Katherine Demuth:
Modelling function words improves unsupervised word segmentation. 282-292 - Wenzhe Pei, Tao Ge, Baobao Chang:
Max-Margin Tensor Neural Network for Chinese Word Segmentation. 293-303 - Xiaodan Zhu, Hongyu Guo, Saif M. Mohammad, Svetlana Kiritchenko:
An Empirical Study on the Effect of Negation Words on Sentiment. 304-313 - Kang Liu, Liheng Xu, Jun Zhao:
Extracting Opinion Targets and Opinion Words from Online Reviews with Graph Co-ranking. 314-324 - Bishan Yang, Claire Cardie:
Context-aware Learning for Sentence-level Sentiment Analysis with Posterior Regularization. 325-335 - Liheng Xu, Kang Liu, Siwei Lai, Jun Zhao:
Product Feature Mining: Semantic Clues versus Syntactic Constituents. 336-346 - Zhiyuan Chen, Arjun Mukherjee, Bing Liu:
Aspect Extraction with Automated Prior Knowledge Learning. 347-358 - Thang Nguyen, Yuening Hu, Jordan L. Boyd-Graber:
Anchors Regularized: Adding Robustness and Extensibility to Scalable Topic-Modeling Algorithms. 359-369 - David Bamman, Ted Underwood, Noah A. Smith:
A Bayesian Mixed Effects Model of Literary Character. 370-379 - Hongzhao Huang, Yunbo Cao, Xiaojiang Huang, Heng Ji, Chin-Yew Lin:
Collective Tweet Wikification based on Semi-supervised Graph Regularization. 380-390 - Panupong Pasupat, Percy Liang:
Zero-shot Entity Extraction from Web Pages. 391-401 - Qi Li, Heng Ji:
Incremental Joint Extraction of Entity Mentions and Relations. 402-412 - Manjuan Duan, Michael White:
That's Not What I Meant! Using Parsers to Avoid Structural Ambiguities in Generated Text. 413-423 - Bikash Gyawali, Claire Gardent:
Surface Realisation from Knowledge-Bases. 424-434 - Shashi Narayan, Claire Gardent:
Hybrid Simplification using Deep Semantics and Machine Translation. 435-445 - Weiwei Sun, Yantao Du, Xin Kou, Shuoyang Ding, Xiaojun Wan:
Grammatical Relations in Chinese: GB-Ground Extraction and Data-Driven Parsing. 436-456 - Zhenghua Li, Min Zhang, Wenliang Chen:
Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. 457-467 - Mohammad Taher Pilehvar, Roberto Navigli:
A Robust Approach to Aligning Heterogeneous Lexical Resources. 468-478 - Philippe Muller, Cécile Fabre, Clémentine Adam:
Predicting the relevance of distributional semantic similarity with contextual information. 479-488 - Alona Fyshe, Partha Pratim Talukdar, Brian Murphy, Tom M. Mitchell:
Interpretable Semantic Vectors from a Joint Model of Brain- and Text- Based Meaning. 489-499 - Kallirroi Georgila, Claire Nelson, David R. Traum:
Single-Agent vs. Multi-Agent Techniques for Concurrent Reinforcement Learning of Negotiation Dialogue Policies. 500-510 - Vanessa Wei Feng, Graeme Hirst:
A Linear-Time Bottom-Up Discourse Parser with Constraints and Post-Editing. 511-521 - Bowei Zou, Guodong Zhou, Qiaoming Zhu:
Negation Focus Identification with Contextual Discourse Information. 522-530 - Minlie Huang, Borui Ye, Yichen Wang, Haiqiang Chen, Junjun Cheng, Xiaoyan Zhu:
New Word Detection for Sentiment Analysis. 531-541 - Zhe Zhang, Munindar P. Singh:
ReNew: A Semi-Supervised Framework for Generating Domain-Specific Lexicons and Sentiment Analysis. 542-551 - Nathan McKinley, Soumya Ray:
A Decision-Theoretic Approach to Natural Language Generation. 552-561 - Igor Labutov, Hod Lipson:
Generating Code-switched Text for Lexical Learning. 562-571 - Yanping Chen, Qinghua Zheng, Wei Zhang:
Omni-word Feature and Soft Constraint for Chinese Relation Extraction. 572-581 - Longhua Qian, Haotian Hui, Yanan Hu, Guodong Zhou, Qiaoming Zhu:
Bilingual Active Learning for Relation Classification via Pseudo Parallel Corpora. 582-592 - Sam Anzaroot, Alexandre Passos, David Belanger, Andrew McCallum:
Learning Soft Linear Constraints with Application to Citation Field Extraction. 593-602 - Yue Wang, Xitong Liu, Hui Fang:
A Study of Concept-based Weighting Regularization for Medical Records Search. 603-612 - Danushka Bollegala, David J. Weir, John Carroll:
Learning to Predict Distributions of Words Across Domains. 613-623 - Georgiana Dinu, Marco Baroni:
How to make words with vectors: Phrase generation in distributional semantics. 624-633 - Shashank Srivastava, Eduard H. Hovy:
Vector space semantics with frequency-driven motifs. 634-643 - Omri Abend, Shay B. Cohen, Mark Steedman:
Lexical Inference over Multi-Word Predicates: A Distributional Approach. 644-654 - Nal Kalchbrenner, Edward Grefenstette, Phil Blunsom:
A Convolutional Neural Network for Modelling Sentences. 655-665 - Yuan Cao, Sanjeev Khudanpur:
Online Learning in Tensor Space. 666-675 - Avneesh Saluja, Hany Hassan, Kristina Toutanova, Chris Quirk:
Graph-based Semi-Supervised Learning of Translation Models from Monolingual Data. 676-686 - Francisco Guzmán, Shafiq R. Joty, Lluís Màrquez, Preslav Nakov:
Using Discourse Structure Improves Machine Translation Evaluation. 687-698 - Jianfeng Gao, Xiaodong He, Wen-tau Yih, Li Deng:
Learning Continuous Phrase Representations for Translation Modeling. 699-709 - Marco Turchi, Antonios Anastasopoulos, José G. C. de Souza, Matteo Negri:
Adaptive Quality Estimation for Machine Translation. 710-720 - Carina Silberer, Mirella Lapata:
Learning Grounded Meaning Representations with Autoencoders. 721-732 - Zhiguo Wang, Nianwen Xue:
Joint POS Tagging and Transition-based Constituent Parsing in Chinese with Non-local Features. 733-742 - Marie Candito, Matthieu Constant:
Strategies for Contiguous Multiword Expression Analysis and Dependency Parsing. 743-753 - Ryo Nagata, Mikko Vilenius, Edward W. D. Whittaker:
Correcting Preposition Errors in Learner English Using Error Case Frames and Feedback Messages. 754-764 - Hui Zhang, David Chiang:
Kneser-Ney Smoothing on Expected Counts. 765-774 - Nicholas Andrews, Jason Eisner, Mark Dredze:
Robust Entity Clustering via Phylogenetic Inference. 775-785 - Dani Yogatama, Noah A. Smith:
Linguistic Structured Sparsity in Text Categorization. 786-796 - Hayato Kobayashi:
Perplexity on Reduced Corpora. 797-806 - Minh Luan Nguyen, Ivor W. Tsang, Kian Ming Adam Chai, Hai Leong Chieu:
Robust Domain Adaptation for Relation Extraction via Clustering Consistency. 807-817 - Liwei Chen, Yansong Feng, Songfang Huang, Yong Qin, Dongyan Zhao:
Encoding Relation Requirements for Relation Extraction via Joint Inference. 818-827 - Chang Wang, James Fan:
Medical Relation Extraction with Manifold Models. 828-838 - Miao Fan, Deli Zhao, Qiang Zhou, Zhiyuan Liu, Thomas Fang Zheng, Edward Y. Chang:
Distant Supervision for Relation Extraction with Matrix Completion. 839-849 - Mei Tu, Yu Zhou, Chengqing Zong:
Enhancing Grammatical Cohesion: Generating Transitional Expressions for SMT. 850-860 - Fei Huang, Jian-Ming Xu, Abraham Ittycheriah, Salim Roukos:
Adaptive HTER Estimation for Document-Specific MT Post-Editing. 861-870 - Maarten van Gompel, Antal van den Bosch:
Translation Assistance by Translation of L1 Fragments in an L2 Context. 871-880 - Stefan Riezler, Patrick Simianer, Carolin Haas:
Response-based Learning for Grounded Machine Translation. 881-891 - Daniele Pighin, Marco Cornolti, Enrique Alfonseca, Katja Filippova:
Modelling Events through Memory-based, Open-IE Patterns for Abstractive Summarization. 892-901 - Janara Christensen, Stephen Soderland, Gagan Bansal, Mausam:
Hierarchical Summarization: Scaling Up Multi-Document Summarization. 902-912 - Tal Baumel, Raphael Cohen, Michael Elhadad:
Query-Chain Focused Summarization. 913-922 - Jun-Ping Ng, Yan Chen, Min-Yen Kan, Zhoujun Li:
Exploiting Timelines to Enhance Multi-document Summarization. 923-933 - Arne Skjærholt:
A chance-corrected measure of inter-annotator agreement for syntax. 934-944 - Tiziano Flati, Daniele Vannella, Tommaso Pasini, Roberto Navigli:
Two Is Bigger (and Better) Than One: the Wikipedia Bitaxonomy Project. 945-955 - Xuchen Yao, Benjamin Van Durme:
Information Extraction over Structured Data: Question Answering with Freebase. 956-966 - Junwei Bao, Nan Duan, Ming Zhou, Tiejun Zhao:
Knowledge-Based Question Answering as Machine Translation. 967-976 - Peter Jansen, Mihai Surdeanu, Peter Clark:
Discourse Complements Lexical Semantics for Non-factoid Answer Reranking. 977-986 - Chikara Hashimoto, Kentaro Torisawa, Julien Kloetzer, Motoki Sano, István Varga, Jong-Hoon Oh, Yutaka Kidawara:
Toward Future Scenario Generation: Extracting Event Causality Exploiting Semantic Relation, Context, and Association Features. 987-997 - Preethi Raghavan, Eric Fosler-Lussier, Noemie Elhadad, Albert M. Lai:
Cross-narrative Temporal Ordering of Medical Events. 998-1008 - Ndapandula Nakashole, Tom M. Mitchell:
Language-Aware Truth Assessment of Fact Candidates. 1009-1019 - Sunny Mitra, Ritwik Mitra, Martin Riedl, Chris Biemann, Animesh Mukherjee, Pawan Goyal:
That's sick dude!: Automatic identification of word sense change across different timescales. 1020-1029 - Daisuke Kawahara, Daniel W. Peterson, Martha Palmer:
A Step-wise Usage-based Method for Inducing Polysemy-aware Verb Classes. 1030-1040 - Mohit Bansal, David Burkett, Gerard de Melo, Dan Klein:
Structured Learning for Taxonomy Induction with Belief Propagation. 1041-1051 - Shay B. Cohen, Michael Collins:
A Provably Correct Learning Algorithm for Latent-Variable PCFGs. 1052-1061 - Ankur P. Parikh, Shay B. Cohen, Eric P. Xing:
Spectral Unsupervised Parsing with Additive Tree Metrics. 1062-1072 - Stella Frank, Naomi Feldman, Sharon Goldwater:
Weak semantic context helps phonetic learning in a model of infant language acquisition. 1073-1083 - Marten van Schijndel, Micha Elsner:
Bootstrapping into Filler-Gap: An Acquisition Story. 1084-1093 - Gabriel Doyle, Klinton Bicknell, Roger Levy:
Nonparametric Learning of Phonological Constraints in Optimality Theory. 1094-1103 - Justin Martineau, Lu Chen, Doreen Cheng, Amit P. Sheth:
Active Learning with Efficient Feature Weighting Methods for Improving Data Quality and Classification Accuracy. 1104-1112 - Mohit Iyyer, Peter Enns, Jordan L. Boyd-Graber, Philip Resnik:
Political Ideology Detection Using Recursive Neural Networks. 1113-1122 - Junhui Li, Yuval Marton, Philip Resnik, Hal Daumé III:
A Unified Model for Soft Linguistic Reordering Constraints in Statistical Machine Translation. 1123-1133 - Rui Yan, Mingkun Gao, Ellie Pavlick, Chris Callison-Burch:
Are Two Heads Better than One? Crowdsourced Translation via a Two-Step Collaboration of Non-Professional Translators and Editors. 1134-1144 - Rene Pickhardt, Thomas Gottron, Martin Körner, Paul Georg Wagner, Till Speicher, Steffen Staab:
A Generalized Language Model as the Combination of Skipped n-grams and Modified Kneser Ney Smoothing. 1145-1154 - William Yang Wang, Zhenhao Hua:
A Semiparametric Gaussian Copula Regression Model for Predicting Financial Risks from Earnings Calls. 1155-1165 - Yuening Hu, Ke Zhai, Vladimir Eidelman, Jordan L. Boyd-Graber:
Polylingual Tree-Based Topic Models for Translation Domain Adaptation. 1166-1176 - Matthew R. Gormley, Margaret Mitchell, Benjamin Van Durme, Mark Dredze:
Low-Resource Semantic Role Labeling. 1177-1187 - Jayant Krishnamurthy, Tom M. Mitchell:
Joint Syntactic and Semantic Parsing with Combinatory Categorial Grammar. 1188-1198 - Ruiji Fu, Jiang Guo, Bing Qin, Wanxiang Che, Haifeng Wang, Ting Liu:
Learning Semantic Hierarchies via Word Embeddings. 1199-1209 - Islam Beltagy, Katrin Erk, Raymond J. Mooney:
Probabilistic Soft Logic for Semantic Textual Similarity. 1210-1219 - Yashar Mehdad, Giuseppe Carenini, Raymond T. Ng:
Abstractive Summarization of Spoken and Written Conversations Based on Phrasal Queries. 1220-1230 - Dimitra Gkatzia, Helen F. Hastie, Oliver Lemon:
Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data. 1231-1240 - Kapil Thadani:
Approximation Strategies for Multi-Structure Sentence Compression. 1241-1251 - Aliaksei Severyn, Alessandro Moschitti, Olga Uryupina, Barbara Plank, Katja Filippova:
Opinion Mining on YouTube. 1252-1261 - Kazi Saidul Hasan, Vincent Ng:
Automatic Keyphrase Extraction: A Survey of the State of the Art. 1262-1273 - Ken Litkowski:
Pattern Dictionary of English Prepositions. 1274-1283 - Emmanuel Morin, Amir Hazem:
Looking at Unbalanced Specialized Comparable Corpora for Bilingual Lexicon Extraction. 1284-1293 - Daniele Vannella, David Jurgens, Daniele Scarfini, Domenico Toscani, Roberto Navigli:
Validating and Extending Semantic Knowledge Bases using Video Games with a Purpose. 1294-1304 - Suma Bhat, Huichao Xue, Su-Youn Yoon:
Shallow Analysis Based Assessment of Syntactic Complexity for Automated Speech Scoring. 1305-1315 - Jonathan Wintrode, Sanjeev Khudanpur:
Can You Repeat That? Using Word Repetition to Improve Spoken Term Detection. 1316-1325 - Meishan Zhang, Yue Zhang, Wanxiang Che, Ting Liu:
Character-Level Chinese Dependency Parsing. 1326-1336 - Xuezhe Ma, Fei Xia:
Unsupervised Dependency Parsing with Transferring Distribution via Parallel Guidance and Entropy Regularization. 1337-1348 - Mohammad Sadegh Rasooli, Thomas Lippincott, Nizar Habash, Owen Rambow:
Unsupervised Morphology-Based Vocabulary Expansion. 1349-1359 - Xiaodong Zeng, Lidia S. Chao, Derek F. Wong, Isabel Trancoso, Liang Tian:
Toward Better Chinese Word Segmentation for SMT via Bilingual Constraints. 1360-1369 - Jacob Devlin, Rabih Zbib, Zhongqiang Huang, Thomas Lamar, Richard M. Schwartz, John Makhoul:
Fast and Robust Neural Network Joint Models for Statistical Machine Translation. 1370-1380 - Tao Lei, Yu Xin, Yuan Zhang, Regina Barzilay, Tommi S. Jaakkola:
Low-Rank Tensors for Scoring Dependency Structures. 1381-1391 - Sascha Rothe, Hinrich Schütze:
CoSimRank: A Flexible & Efficient Graph-Theoretic Similarity Measure. 1392-1402 - Angeliki Lazaridou, Elia Bruni, Marco Baroni:
Is this a wampimuk? Cross-modal mapping between distributional semantics and the visual world. 1403-1414 - Jonathan Berant, Percy Liang:
Semantic Parsing via Paraphrasing. 1415-1425 - Jeffrey Flanigan, Sam Thomson, Jaime G. Carbonell, Chris Dyer, Noah A. Smith:
A Discriminative Graph-Based Parser for the Abstract Meaning Representation. 1426-1436 - Kenton Lee, Yoav Artzi, Jesse Dodge, Luke Zettlemoyer:
Context-dependent Semantic Parsing for Time Expressions. 1437-1447 - Karl Moritz Hermann, Dipanjan Das, Jason Weston, Kuzman Ganchev:
Semantic Frame Identification with Distributed Word Representations. 1448-1458 - Deyi Xiong, Min Zhang:
A Sense-Based Translation Model for Statistical Machine Translation. 1459-1469 - Akihiro Tamura, Taro Watanabe, Eiichiro Sumita:
Recurrent Neural Networks for Word Alignment Model. 1470-1480 - Yin-Wen Chang, Alexander M. Rush, John DeNero, Michael Collins:
A Constrained Viterbi Relaxation for Bidirectional Word Alignment. 1481-1490 - Shujie Liu, Nan Yang, Mu Li, Ming Zhou:
A Recursive Recurrent Neural Network for Statistical Machine Translation. 1491-1500 - Snigdha Chaturvedi, Dan Goldwasser, Hal Daumé III:
Predicting Instructor's Intervention in MOOC forums. 1501-1511 - Zhongye Jia, Hai Zhao:
A Joint Graph Model for Pinyin-to-Chinese Conversion with Typo Correction. 1512-1523 - Patrick Pantel, Michael Gamon, Ariel Fuxman:
Smart Selection. 1524-1533 - Isaac Persing, Vincent Ng:
Modeling Prompt Adherence in Student Essays. 1534-1543 - Jun Seok Kang, Song Feng, Leman Akoglu, Yejin Choi:
ConnotationWordNet: Learning Connotation over the Word+Sense Network. 1544-1554 - Duyu Tang, Furu Wei, Nan Yang, Ming Zhou, Ting Liu, Bing Qin:
Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification. 1555-1565 - Jiwei Li, Myle Ott, Claire Cardie, Eduard H. Hovy:
Towards a General Rule for Identifying Deceptive Opinion Spam. 1566-1576
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-12-03 20:35 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
