Stanford Natural Language Processing Group

Stanford Natural Language Processing Group http://nlp.stanford.edu/ Information about Stanford's Natural Language Processing group. en-us Effective Bilingual Constraints for Semi-supervised Learning of Named Entity Recognizers http://nlp.stanford.edu/pubs/aaai13-wang.pdf Mengqiu Wang, Wanxiang Che, and Christopher D. Manning. 2013. Effective Bilingual Constraints for Semi-supervised Learning of Named Entity Recognizers. In AAAI. Named Entity Recognition with Bilingual Constraints http://nlp.stanford.edu/pubs/naacl13-che.pdf Wanxiang Che, Mengqiu Wang, Christopher D. Manning, and Ting Liu. 2013. Named Entity Recognition with Bilingual Constraints. In NAACL-HLT. Same Referent, Different Words: Unsupervised Mining of Opaque Coreferent Mentions http://www-nlp.stanford.edu/pubs/coref-dictionary.pdf Marta Recasens, Matthew Can, and Dan Jurafsky. 2013. Same Referent, Different Words: Unsupervised Mining of Opaque Coreferent Mentions. In Proceedings of NAACL 2013. The Life and Death of Discourse Entities: Identifying Singleton Mentions http://www-nlp.stanford.edu/pubs/discourse-referent-lifespans.pdf Marta Recasens, Marie-Catherine de Marneffe, and Christopher Potts. 2013. The Life and Death of Discourse Entities: Identifying Singleton Mentions. In Proceedings of NAACL 2013. Learning Attitudes and Attributes from Multi-Aspect Reviews http://www-nlp.stanford.edu/pubs/icdm2012.pdf Julian J. McAuley, Jure Leskovec, and Dan Jurafsky. 2012. Learning Attitudes and Attributes from Multi-Aspect Reviews. In International Conference on Data Mining. Convolutional-Recursive Deep Learning for 3D Object Classification http://www-nlp.stanford.edu/pubs/SocherHuvalBhatManningNg_NIPS2012.pdf Richard Socher, Brody Huval, Bharath Bhat, Christopher D. Manning, and Andrew Y. Ng. 2012. Convolutional-Recursive Deep Learning for 3D Object Classification. In Advances in Neural Information Processing Systems 25. Bootstrapping Dependency Grammar Inducers from Incomplete Sentence Fragments via Austere Models http://www-nlp.stanford.edu/pubs/wabisabi.pdf Valentin I. Spitkovsky, Hiyan Alshawi, and Daniel Jurafsky. 2012. Bootstrapping Dependency Grammar Inducers from Incomplete Sentence Fragments via Austere Models. In Proceedings of the 11th International Conference on Grammatical Inference. Coreference resolution: an empirical study based on SemEval-2010 shared Task 1 http://www-nlp.stanford.edu/pubs/MarquezRecasensSapena12.pdf Lluís Màrquez, Marta Recasens, and Emili Sapena. 2012. Coreference resolution: an empirical study based on SemEval-2010 shared Task 1. Language Resources and Evaluation Joint Entity and Event Coreference Resolution across Documents http://www-nlp.stanford.edu/pubs/emnlp2012-coref.pdf Heeyoung Lee, Marta Recasens, Angel Chang, Mihai Surdeanu, and Dan Jurafsky. 2012. Joint Entity and Event Coreference Resolution across Documents. In Proceedings of the Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL). Learning Constraints for Consistent Timeline Extraction http://www-nlp.stanford.edu/pubs/dmcc-emnlp-2012.pdf David McClosky and Christopher D. Manning. 2012. Learning Constraints for Consistent Timeline Extraction. In Proceedings of the Conference on Empirical Methods in Natural Language Processing and Natural Language Learning (EMNLP-CoNLL'12). Multi-instance Multi-label Learning for Relation Extraction http://www-nlp.stanford.edu/pubs/emnlp2012-mimlre.pdf Mihai Surdeanu, Julie Tibshirani, Ramesh Nallapati, and Christopher D. Manning. 2012. Multi-instance Multi-label Learning for Relation Extraction. In Proceedings of the Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL). Semantic Compositionality Through Recursive Matrix-Vector Spaces http://www-nlp.stanford.edu/pubs/SocherHuvalManningNg_EMNLP2012.pdf Richard Socher, Brody Huval, Christopher D. Manning, and Andrew Y. Ng. 2012. Semantic Compositionality Through Recursive Matrix-Vector Spaces. In Proceedings of the 2012 Conference on Empirical Methods in Natural Language Processing (EMNLP). Three Dependency-and-Boundary Models for Grammar Induction http://www-nlp.stanford.edu/pubs/dbm.pdf Valentin I. Spitkovsky, Hiyan Alshawi, and Daniel Jurafsky. 2012. Three Dependency-and-Boundary Models for Grammar Induction. In Proceedings of the 2012 Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL 2012). Multi-instance Multi-label Learning for Relation Extraction http://www-nlp.stanford.edu/pubs/emnlp2012-mimlre.pdf Mihai Surdeanu, Julie Tibshirani, Ramesh Nallapati, and Christopher D. Manning. 2012. Multi-instance Multi-label Learning for Relation Extraction. In Proceedings of the Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL). Probabilistic Finite State Machines for Regression-based MT Evaluation http://www-nlp.stanford.edu/pubs/wang-manning-emnlp12.pdf Mengqiu Wang and Christopher D. Manning. 2012. Probabilistic Finite State Machines for Regression-based MT Evaluation. In Proceedings of the Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL). Towards a Computational History of the ACL: 1980-2008 http://nlp.stanford.edu/pubs/anderson12.pdf Ashton Anderson, Dan McFarland, and Dan Jurafsky. 2012. Towards a Computational History of the ACL: 1980-2008. In ACL 2012 Workshop on Rediscovering 50 Years of Discoveries. He Said, She Said: Gender in the ACL Anthology http://nlp.stanford.edu/pubs/vogeljurafsky12.pdf Adam Vogel and Dan Jurafsky. 2012. He Said, She Said: Gender in the ACL Anthology. In ACL 2012 Workshop on Rediscovering 50 Years of Discoveries. A Comparison of Chinese Parsers for Stanford Dependencies http://www-nlp.stanford.edu/pubs/stanford_dependencies_chinese.pdf Wanxiang Che, Valentin I. Spitkovsky, and Ting Liu. 2012. A Comparison of Chinese Parsers for Stanford Dependencies. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL 2012). Improving Word Representations via Global Context and Multiple Word Prototypes http://www-nlp.stanford.edu/pubs/HuangACL12.pdf Eric H. Huang, Richard Socher, Christopher D. Manning, and Andrew Y. Ng. 2012. Improving Word Representations via Global Context and Multiple Word Prototypes. In Proceedings of the Association for Computational Linguistics 2012 Conference (ACL '12). Baselines and Bigrams: Simple, Good Sentiment and Topic Classification http://www-nlp.stanford.edu/pubs/simple_sentiment.pdf Sida Wang and Christopher Manning. 2012. Baselines and Bigrams: Simple, Good Sentiment and Topic Classification. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL 2012). A Computational Analysis of Style, Affect, and Imagery in Contemporary Poetry http://nlp.stanford.edu/pubs/kao.pdf Justine Kao and Dan Jurafsky. 2012. A Computational Analysis of Style, Affect, and Imagery in Contemporary Poetry. In NAACL 2012 Workshop on Computational Linguistics for Literature. Stanford’s System for Parsing the English Web http://www-nlp.stanford.edu/pubs/mcclosky-sancl-12.pdf David McClosky, Wanxiang Che, Marta Recasens, Mengqiu Wang, Richard Socher, and Christopher D. Manning. 2012. Stanford’s System for Parsing the English Web. In Proceedings of First Workshop on Syntactic Analysis of Non-Canonical Language (SANCL) at NAACL 2012. Towards a Literary Machine Translation: The Role of Referential Cohesion http://www-nlp.stanford.edu/pubs/voigtandjurafsky12.pdf Rob Voigt and Dan Jurafsky. 2012. Towards a Literary Machine Translation: The Role of Referential Cohesion. In Proceedings of the NAACL-HLT 2012 Workshop on Computational Linguistics for Literature. Capitalization Cues Improve Dependency Grammar Induction http://www-nlp.stanford.edu/pubs/capitalization.pdf Valentin I. Spitkovsky, Hiyan Alshawi, and Daniel Jurafsky. 2012. Capitalization Cues Improve Dependency Grammar Induction. In NAACL-HLT: Workshop on Inducing Linguistic Structure (WILS 2012). Stanford: Probabilistic Edit Distance Metrics for STS http://www-nlp.stanford.edu/pubs/wang-cer-sts12.pdf Mengqiu Wang and Daniel Cer. 2012. Stanford: Probabilistic Edit Distance Metrics for STS. In Proceedings of the First Semantic Textual Similarity (STS) Shared Task at SemEval Workshop. SPEDE: Probabilistic Edit Distance Metrics for MT Evaluation http://www-nlp.stanford.edu/pubs/wang-manning-wmt12.pdf Mengqiu Wang and Christopher D. Manning. 2012. SPEDE: Probabilistic Edit Distance Metrics for MT Evaluation. In Proceedings of NAACL 2012 Seventh Workshop on Statistical Machine Translation. Parsing Time: Learning to Interpret Time Expressions http://nlp.stanford.edu/pubs/2012-naacl-temporal.pdf Gabor Angeli, Christopher D. Manning, and Daniel Jurafsky. 2012. Parsing Time: Learning to Interpret Time Expressions. In NAACL-HLT. Automatic animacy classification http://www-nlp.stanford.edu/pubs/bowman-chopra-srw-preprint.pdf Samuel Bowman and Harshit Chopra. 2012. Automatic animacy classification. In Proceedings of the NAACL-HLT 2012 Student Research Workshop. Entity Clustering Across Languages http://www-nlp.stanford.edu/pubs/green+andrews+gormley+dredze+manning.naacl12.pdf Spence Green, Nicholas Andrews, Matthew R. Gormley, Mark Dredze, and Christopher D. Manning. 2012. Entity Clustering Across Languages. In NAACL. Did it happen? The pragmatic complexity of veridicality assessment http://www-nlp.stanford.edu/pubs/coli_veridicality.pdf Christopher D. Manning Marie-Catherine de Marneffe and Christopher Potts. 2012. Did it happen? The pragmatic complexity of veridicality assessment. Computational Linguistics 38(2):301-333 Citation-based bootstrapping for large-scale author disambiguation http://nlp.stanford.edu/pubs/levin2012.pdf Michael Levin, Stefan Krawczyk, Steven Bethard, and Dan Jurafsky. 2012. Citation-based bootstrapping for large-scale author disambiguation. Journal of the American Society for Information Science and Technology 63(5):1030-1047 SUTIME: A Library for Recognizing and Normalizing Time Expressions http://nlp.stanford.edu/pubs/lrec2012-sutime.pdf Angel X. Chang and Christopher D. Manning. 2012. SUTIME: A Library for Recognizing and Normalizing Time Expressions. In 8th International Conference on Language Resources and Evaluation (LREC 2012). Annotating Near-Identity from Coreference Disagreements http://www-nlp.stanford.edu/pubs/RecasensMartiOrasan12.pdf Marta Recasens, M. Antònia Martí, and Constantin Orasan. 2012. Annotating Near-Identity from Coreference Disagreements. In Proceedings of LREC 2012. A Cross-Lingual Dictionary for English Wikipedia Concepts http://www-nlp.stanford.edu/pubs/crosswikis.pdf Valentin I. Spitkovsky and Angel X. Chang. 2012. A Cross-Lingual Dictionary for English Wikipedia Concepts. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC 2012). Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection http://www-nlp.stanford.edu/pubs/SocherHuangPenningtonNgManning_NIPS2011.pdf Richard Socher, Eric H. Huang, Jeffrey Pennington, Andrew Y. Ng, and Christopher D. Manning. 2011. Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection. In Advances in Neural Information Processing Systems 24. Stanford-UBC Entity Linking at TAC-KBP, Again http://www-nlp.stanford.edu/pubs/kbp2011-entitylinking.pdf Angel X. Chang, Valentin I. Spitkovsky, Eneko Agirre, and Christopher D. Manning. 2011. Stanford-UBC Entity Linking at TAC-KBP, Again. In Proceedings of the Fourth Text Analysis Conference (TAC 2011). Strong Baselines for Cross-Lingual Entity Linking http://www-nlp.stanford.edu/pubs/kbp2011-crosslinking.pdf Valentin I. Spitkovsky and Angel X. Chang. 2011. Strong Baselines for Cross-Lingual Entity Linking. In Proceedings of the Fourth Text Analysis Conference (TAC 2011). Stanford's Distantly-Supervised Slot-Filling System http://www-nlp.stanford.edu/pubs/kbp2011-slotfilling.pdf Mihai Surdeanu, Sonal Gupta, John Bauer, David McClosky, Angel X. Chang, Valentin I. Spitkovsky, and Christopher D. Manning. 2011. Stanford's Distantly-Supervised Slot-Filling System. In Proceedings of the Fourth Text Analysis Conference (TAC 2011). Analyzing the Dynamics of Research by Extracting Key Aspects of Scientific Papers http://www-nlp.stanford.edu/pubs/gupta-manning-ijcnlp11.pdf Sonal Gupta and Christopher D. Manning. 2011. Analyzing the Dynamics of Research by Extracting Key Aspects of Scientific Papers. In Proceedings of the International Joint Conference on Natural Language Processing. Veridicality and utterance understanding http://www-nlp.stanford.edu/pubs/icsc11.pdf Marie-Catherine de Marneffe, Christopher D. Manning, and Christopher Potts. 2011. Veridicality and utterance understanding. In Proceedings of the 2011 Fifth IEEE International Conference on Semantic Computing. Multiword Expression Identification with Tree Substitution Grammars: A Parsing tour de force with French ehttp://www-nlp.stanford.edu/pubs/green+demarneffe+bauer+manning.emnlp11.pdf Spence Green, Marie-Catherine de Marneffe, John Bauer, and Christopher D. Manning. 2011. Multiword Expression Identification with Tree Substitution Grammars: A Parsing tour de force with French. In EMNLP. Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions http://www-nlp.stanford.edu/pubs/SocherPenningtonHuangNgManning_EMNLP2011.pdf Richard Socher, Jeffrey Pennington, Eric H. Huang, Andrew Y. Ng, and Christopher D. Manning. 2011. Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions. In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing (EMNLP). Unsupervised Dependency Parsing without Gold Part-of-Speech Tags http://www-nlp.stanford.edu/pubs/goldtags.pdf Valentin I. Spitkovsky, Hiyan Alshawi, Angel X. Chang, and Daniel Jurafsky. 2011. Unsupervised Dependency Parsing without Gold Part-of-Speech Tags. In Proceedings of the 2011 Conference on Empirical Methods on Natural Language Processing (EMNLP 2011). Lateen EM: Unsupervised Training with Multiple Objectives, Applied to Dependency Grammar Induction http://www-nlp.stanford.edu/pubs/lateenem.pdf Valentin I. Spitkovsky, Hiyan Alshawi, and Daniel Jurafsky. 2011. Lateen EM: Unsupervised Training with Multiple Objectives, Applied to Dependency Grammar Induction. In Proceedings of the 2011 Conference on Empirical Methods on Natural Language Processing (EMNLP 2011). A Study of Academic Collaborations in Computational Linguistics using a Latent Mixture of Authors Model http://www-nlp.stanford.edu/pubs/acl-latech2011.pdf Nikhil Johri, Daniel Ramage, Daniel A. McFarland, and Daniel Jurafsky. 2011. A Study of Academic Collaborations in Computational Linguistics using a Latent Mixture of Authors Model. In Proceedings of the ACL 2011 Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities. Crowdsourced translation for emergency response in Haiti: the global collaboration of local knowledge http://www-nlp.stanford.edu/pubs/munro2010translation.pdf Robert Munro. 2010. Crowdsourced translation for emergency response in Haiti: the global collaboration of local knowledge. In Proceedings of the AMTA Workshop on Collaborative Crowdsourcing for Translation. Subword Variation in Text Message Classification http://www-nlp.stanford.edu/pubs/munro2010chichewa.pdf Robert Munro and Christopher D. Manning. 2010. Subword Variation in Text Message Classification. In Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2010). Subword and spatiotemporal models for identifying actionable information in Haitian Kreyol http://www-nlp.stanford.edu/pubs/munro2011kreyol.pdf Robert Munro. 2011. Subword and spatiotemporal models for identifying actionable information in Haitian Kreyol. In Proceedings of the Fifteenth Conference on Natural Language Learning (CoNLL 2011). Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities http://www-nlp.stanford.edu/pubs/SocherMaasManning_AISTATS2011.pdf Richard Socher, Andrew Maas, and Christopher D. Manning. 2011. Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities. In Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS). Parsing Natural Scenes and Natural Language with Recursive Neural Networks http://www-nlp.stanford.edu/pubs/SocherLinNgManning_ICML2011.pdf Richard Socher, Cliff Chiung-Yu Lin, Andrew Y. Ng, and Christopher D. Manning. 2011. Parsing Natural Scenes and Natural Language with Recursive Neural Networks. In Proceedings of the 26th International Conference on Machine Learning (ICML). Stanford's Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task http://www-nlp.stanford.edu/pubs/conllst2011-coref.pdf Heeyoung Lee, Yves Peirsman, Angel Chang, Nathanael Chambers, Mihai Surdeanu, and Dan Jurafsky. 2011. Stanford's Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task. In Proceedings of the CoNLL-2011 Shared Task. Template-Based Information Extraction without the Templates http://www-nlp.stanford.edu/pubs/chambers-acl2011-muctemplates.pdf Nathanael Chambers and Dan Jurafsky. 2011. Template-Based Information Extraction without the Templates. In Proceedings of ACL. Learning to Rank Answers to Non-Factoid Questions from Web Collections http://www-nlp.stanford.edu/pubs/cl11.pdf Mihai Surdeanu, Massimiliano Ciaramita, and Hugo Zaragoza. 2011. Learning to Rank Answers to Non-Factoid Questions from Web Collections. Computational Linguistics 37(2) Customizing an Information Extraction System to a New Domain http://www-nlp.stanford.edu/pubs/relms2011.pdf Mihai Surdeanu, David McClosky, Mason R. Smith, Andrey Gusev, and Christopher D. Manning. 2011. Customizing an Information Extraction System to a New Domain. In Proceedings of the Workshop on Relational Models of Semantics. Risk Analysis for Intellectual Property Litigation http://www-nlp.stanford.edu/pubs/icail11.pdf Mihai Surdeanu, Ramesh Nallapati, and Christopher D. Manning. 2011. Risk Analysis for Intellectual Property Litigation. In Proceedings of the Thirteenth International Conference on Artificial Intelligence and Law. Using Evolutive Summary Counters for Efficient Cooperative Caching in Search Engines http://www-nlp.stanford.edu/pubs/tpds11.pdf David Dominguez-Sal, Josep Aguilar-Saborit, Mihai Surdeanu, and Josep Lluis Larriba-Pey. 2011. Using Evolutive Summary Counters for Efficient Cooperative Caching in Search Engines. IEEE Transactions on Parallel and Distributed Systems 99(PrePrints) Phrasal: a toolkit for statistical machine translation with facilities for extraction and incorporation of arbitrary model features http://portal.acm.org/citation.cfm?id=1855450.1855453 Daniel Cer, Michel Galley, Daniel Jurafsky, and Christopher D. Manning. 2010. Phrasal: a toolkit for statistical machine translation with facilities for extraction and incorporation of arbitrary model features. In Proceedings of the NAACL HLT 2010 Demonstration Session. The best lexical metric for phrase-based statistical MT system optimization http://portal.acm.org/citation.cfm?id=1857999.1858079 Daniel Cer, Christopher D. Manning, and Daniel Jurafsky. 2010. The best lexical metric for phrase-based statistical MT system optimization. In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics. How good are humans at solving CAPTCHAs? A large scale evaluation http://www-nlp.stanford.edu/pubs/burszstein_2010_captcha.pdf Elie Bursztein, Steven Bethard, John C. Mitchell, Dan Jurafsky, and Celine Fabry. 2010. How good are humans at solving CAPTCHAs? A large scale evaluation. In IEEE Symposium on Security and Privacy. The NXT-format Switchboard Corpus: a rich resource for investigating the syntax, semantics, pragmatics and prosody of dialogue http://www-nlp.stanford.edu/pubs/calhoun.pdf Sasha Calhoun, Jean Carletta, Jason M. Brenier, Neil Mayo, Dan Jurafsky, Mark Steedman, and David Beaver. 2010. The NXT-format Switchboard Corpus: a rich resource for investigating the syntax, semantics, pragmatics and prosody of dialogue. Language Resources & Evaluation 44:387-419 Event Extraction as Dependency Parsing http://www-nlp.stanford.edu/pubs/dmcc-acl-2011.pdf David McClosky, Mihai Surdeanu, and Chris Manning. 2011. Event Extraction as Dependency Parsing. In Proceedings of the Association for Computational Linguistics - Human Language Technologies 2011 Conference (ACL-HLT'11), Main Conference. Event Extraction as Dependency Parsing for BioNLP 2011 http://www-nlp.stanford.edu/pubs/dmcc-bionlp-2011.pdf David McClosky, Mihai Surdeanu, and Christopher D. Manning. 2011. Event Extraction as Dependency Parsing for BioNLP 2011. In Proceedings of the BioNLP Workshop. Model Combination for Event Extraction in BioNLP 2011 http://www-nlp.stanford.edu/pubs/riedel-bionlp-2011.pdf Sebastian Riedel, David McClosky, Mihai Surdeanu, Andrew McCallum, and Christopher D. Manning. 2011. Model Combination for Event Extraction in BioNLP 2011. In Proceedings of the BioNLP Workshop. Customizing an Information Extraction System to a New Domain http://www-nlp.stanford.edu/pubs/surdeanu-relms-2011.pdf Mihai Surdeanu, David McClosky, Mason R. Smith, Andrey Gusev, and Christopher D. Manning. 2011. Customizing an Information Extraction System to a New Domain. In Proceedings of the Workshop on Relational Models of Semantics. The Role of Social Networks in Online Shopping: Information Passing, Price of Trust, and Consumer Choice http://www-nlp.stanford.edu/pubs/wang-ec11.pdf Stephen Guo, Mengqiu Wang, and Jure Leskovec. 2011. The Role of Social Networks in Online Shopping: Information Passing, Price of Trust, and Consumer Choice. In Proceedings of ACM Conference on Electronic Commerce. Punctuation: Making a Point in Unsupervised Dependency Parsing http://www-nlp.stanford.edu/pubs/punctuation.pdf Valentin I. Spitkovsky, Hiyan Alshawi, and Daniel Jurafsky. 2011. Punctuation: Making a Point in Unsupervised Dependency Parsing. In Proceedings of the Fifteenth Conference on Computational Natural Language Learning (CoNLL-2011). Part-of-Speech Tagging from 97\% to 100\%: Is It Time for Some Linguistics? http://www-nlp.stanford.edu/pubs/CICLing2011-manning-tagging.pdf Christopher D. Manning. 2011. Part-of-Speech Tagging from 97\% to 100\%: Is It Time for Some Linguistics? In Computational Linguistics and Intelligent Text Processing, 12th International Conference, CICLing 2011, Proceedings, Part I. A Simple Distant Supervision Approach for the TAC-KBP Slot Filling Task http://www-nlp.stanford.edu/pubs/kbp2010-slotfilling.pdf Mihai Surdeanu, David McClosky, Julie Tibshirani, John Bauer, Angel X. Chang, Valentin I. Spitkovsky, and Christopher D. Manning. 2010. A Simple Distant Supervision Approach for the TAC-KBP Slot Filling Task. In Proceedings of the Third Text Analysis Conference (TAC 2010). Stanford-UBC Entity Linking at TAC-KBP http://www-nlp.stanford.edu/pubs/kbp2010-entitylinking.pdf Angel X. Chang, Valentin I. Spitkovsky, Eric Yeh, Eneko Agirre, and Christopher D. Manning. 2010. Stanford-UBC Entity Linking at TAC-KBP. In Proceedings of the Third Text Analysis Conference (TAC 2010). Who should I cite? Learning literature search models from citation behavior http://www-nlp.stanford.edu/pubs/bethard_2010_cikm_literature_search.pdf Steven Bethard and Dan Jurafsky. 2010. Who should I cite? Learning literature search models from citation behavior. In ACM Conference on Information and Knowledge Management (CIKM). A Multi-Pass Sieve for Coreference Resolution http://www-nlp.stanford.edu/pubs/coreference-emnlp10.pdf Karthik Raghunathan, Heeyoung Lee, Sudarshan Rangarajan, Nathanael Chambers, Mihai Surdeanu, Dan Jurafsky, and Christopher Manning. 2010. A Multi-Pass Sieve for Coreference Resolution. In Proceedings of EMNLP 2010. Better Arabic Parsing: Baselines, Evaluations, and Analysis http://www-nlp.stanford.edu/pubs/coling2010-arabic.pdf Spence Green and Christopher D. Manning. 2010. Better Arabic Parsing: Baselines, Evaluations, and Analysis. In COLING. Probabilistic Tree-Edit Models with Structured Latent Variables for Textual Entailment and Question Answering http://www-nlp.stanford.edu/pubs/wang-manning-coling10.pdf Mengqiu Wang and Christopher D. Manning. 2010. Probabilistic Tree-Edit Models with Structured Latent Variables for Textual Entailment and Question Answering. In Proceedings of the 23rd International Conference on Computational Linguistics (COLING 2010). Viterbi Training Improves Unsupervised Dependency Parsing http://www-nlp.stanford.edu/pubs/viterbiem.pdf Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jurafsky, and Christopher D. Manning. 2010. Viterbi Training Improves Unsupervised Dependency Parsing. In Proceedings of the Fourteenth Conference on Computational Natural Language Learning (CoNLL-2010). Improving the Use of Pseudo-Words for Evaluating Selectional Preferences http://www-nlp.stanford.edu/pubs/chambers-acl2010-pseudowords.pdf Nathanael Chambers and Dan Jurafsky. 2010. Improving the Use of Pseudo-Words for Evaluating Selectional Preferences. In Proceedings of ACL. Hierarchical Joint Learning: Improving Joint Parsing and Named Entity Recognition with Non-Jointly Labeled Data http://www-nlp.stanford.edu/pubs/hier-joint.pdf Jenny Rose Finkel and Christopher D. Manning. 2010. Hierarchical Joint Learning: Improving Joint Parsing and Named Entity Recognition with Non-Jointly Labeled Data. In Proceedings of ACL 2010. "Was it good? It was provocative." Learning the meaning of scalar adjectives http://nlp.stanford.edu/pubs/scalarAdj_acl2010.pdf Marie-Catherine de Marneffe, Christopher D. Manning, and Christopher Potts. 2010. "Was it good? It was provocative." Learning the meaning of scalar adjectives. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics. Profiting from Mark-Up: Hyper-Text Annotations for Guided Parsing http://www-nlp.stanford.edu/pubs/markup.pdf Valentin I. Spitkovsky, Daniel Jurafsky, and Hiyan Alshawi. 2010. Profiting from Mark-Up: Hyper-Text Annotations for Guided Parsing. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL 2010). Learning to Follow Navigational Directions http://www-nlp.stanford.edu/pubs/spatial-acl2010.pdf Adam Vogel and Dan Jurafsky. 2010. Learning to Follow Navigational Directions. In Proceedings of ACL. Accurate Non-Hierarchical Phrase-Based Translation http://www-nlp.stanford.edu/pubs/naacl10-discontinuous_phrases.pdf Michel Galley and Christopher D. Manning. 2010. Accurate Non-Hierarchical Phrase-Based Translation. In Proceedings of the North American Chapter of the Association for Computational Linguistics Conference (NAACL-2010). Improved Models of Distortion Cost for Statistical Machine Translation http://www-nlp.stanford.edu/pubs/naacl10-distortion.pdf Spence Green, Michel Galley, and Christopher D. Manning. 2010. Improved Models of Distortion Cost for Statistical Machine Translation. In NAACL. Automatic Domain Adaptation for Parsing http://www-nlp.stanford.edu/pubs/dmcc-naacl-2010.pdf David McClosky, Eugene Charniak, and Mark Johnson. 2010. Automatic Domain Adaptation for Parsing. In Proceedings of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies 2010 Conference (NAACL-HLT'10). From Baby Steps to Leapfrog: How "Less is More" in Unsupervised Dependency Parsing http://www-nlp.stanford.edu/pubs/babyfrog.pdf Valentin I. Spitkovsky, Hiyan Alshawi, and Daniel Jurafsky. 2010. From Baby Steps to Leapfrog: How "Less is More" in Unsupervised Dependency Parsing. In Proceedings of Human Language Technologies: The 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL HLT 2010). Ensemble Models for Dependency Parsing: Cheap and Good? http://www-nlp.stanford.edu/pubs/naacl10-parsing-surdeanu.pdf Mihai Surdeanu and Christopher D. Manning. 2010. Ensemble Models for Dependency Parsing: Cheap and Good? In Proceedings of the North American Chapter of the Association for Computational Linguistics Conference (NAACL-2010). Improving Semantic Role Classification with Selectional Preferences http://www-nlp.stanford.edu/pubs/naacl10-srl-surdeanu.pdf Benat Zapirain, Eneko Agirre, Lluis Marquez, and Mihai Surdeanu. 2010. Improving Semantic Role Classification with Selectional Preferences. In Proceedings of the North American Chapter of the Association for Computational Linguistics Conference (NAACL-2010). Characterizing Microblogs with Topic Models http://nlp.stanford.edu/pubs/twitter-icwsm10.pdf Daniel Ramage, Susan Dumais, and Dan Liebling. 2010. Characterizing Microblogs with Topic Models. In ICWSM. Legal Claim Identification: Information Extraction with Hierarchically Labeled Data http://www-nlp.stanford.edu/pubs/lrec_splet10-surdeanu.pdf Mihai Surdeanu, Ramesh Nallapati, and Christopher D. Manning. 2010. Legal Claim Identification: Information Extraction with Hierarchically Labeled Data. In Proceedings of the LREC 2010 Workshop on the Semantic Processing of Legal Texts (SPLeT-2010). Parsing to Stanford Dependencies: Trade-offs between speed and accuracy http://nlp.stanford.edu/pubs/lrecstanforddeps_final_final.pdf Daniel Cer, Marie-Catherine de Marneffe, Daniel Jurafsky, and Christopher D. Manning. 2010. Parsing to Stanford Dependencies: Trade-offs between speed and accuracy. In 7th International Conference on Language Resources and Evaluation (LREC 2010). A Database of Narrative Schemas http://www-nlp.stanford.edu/pubs/chambers-lrec2010-schemas.pdf Nathanael Chambers and Dan Jurafsky. 2010. A Database of Narrative Schemas. In Proceedings of LREC. Hidden Conditional Random Fields for Phone Recognition http://www-nlp.stanford.edu/pubs/hcrf2009.pdf Yun-Hsuan Sung and Dan Jurafsky. 2009. Hidden Conditional Random Fields for Phone Recognition. In IEEE Automatic Speech Recognition and Understanding Workshop. Topic Modeling for the Social Sciences http://www-nlp.stanford.edu/pubs/tmt-nips09.pdf Daniel Ramage, Evan Rosen, Jason Chuang, Christopher D. Manning, and Daniel A. McFarland. 2009. Topic Modeling for the Social Sciences. In NIPS 2009 Workshop on Applications for Topic Models: Text and Beyond. Baby Steps: How "Less is More" in Unsupervised Dependency Parsing http://www-nlp.stanford.edu/pubs/babysteps.pdf Valentin I. Spitkovsky, Hiyan Alshawi, and Daniel Jurafsky. 2009. Baby Steps: How "Less is More" in Unsupervised Dependency Parsing. In NIPS 2009 Workshop on Grammar Induction, Representation of Language and Language Learning. Stanford-UBC at TAC-KBP http://www-nlp.stanford.edu/pubs/subctackbp.pdf Eneko Agirre, Angel X. Chang, Daniel S. Jurafsky, Christopher D. Manning, Valentin I. Spitkovsky, and Eric Yeh. 2009. Stanford-UBC at TAC-KBP. In Proceedings of the Second Text Analysis Conference (TAC 2009). NP subject detection in verb-initial Arabic clauses http://www-nlp.stanford.edu/pubs/caasl3-npsubj.pdf Spence Green, Conal Sathi, and Christopher D. Manning. 2009. NP subject detection in verb-initial Arabic clauses. In Proceedings of the Third Workshop on Computational Approaches to Arabic Script-based Languages (CAASL3). Nested Named Entity Recognition http://www-nlp.stanford.edu/pubs/nested-ner.pdf Jenny Rose Finkel and Christopher D. Manning. 2009. Nested Named Entity Recognition. In Proceedings of EMNLP 2009. Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora http://www.aclweb.org/anthology/D/D09/D09-1026 Daniel Ramage, Anna N. Rafferty, and Christopher D. Manning. 2009. Random Walks for Text Semantic Similarity. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing. It's Not You, it's Me: Detecting Flirting and its Misperception in Speed-Dates http://www-nlp.stanford.edu/pubs/rajesh09.pdf Rajesh Ranganath, Dan Jurafsky, and Dan McFarland. 2009. It's Not You, it's Me: Detecting Flirting and its Misperception in Speed-Dates. In Proceedings of EMNLP 2009. Random Walks for Text Semantic Similarity http://www.aclweb.org/anthology/W/W09/W09-3204 Daniel Ramage, Anna N. Rafferty, and Christopher D. Manning. 2009. Random Walks for Text Semantic Similarity. In Proceedings of the 2009 Workshop on Graph-based Methods for Natural Language Processing (TextGraphs-4). WikiWalk: Random walks on Wikipedia for Semantic Relatedness http://www.aclweb.org/anthology/W/W09/W09-3206 Daniel Ramage, Anna N. Rafferty, and Christopher D. Manning. 2009. Random Walks for Text Semantic Similarity. In Proceedings of the 2009 Workshop on Graph-based Methods for Natural Language Processing (TextGraphs-4). Multi-word expressions in textual inference: Much ado about nothing? http://www-nlp.stanford.edu/pubs/rte4_acl.pdf Marie-Catherine de Marneffe, Sebastian Pado, and Christopher D. Manning. 2009. Multi-word expressions in textual inference: Much ado about nothing? In Proceedings of the ACL/IJCNLP 2009 Workshop on Applied Textual Inference. Unsupervised Learning of Narrative Schemas and their Participants http://www-nlp.stanford.edu/pubs/narrative-schema09.pdf Nathanael Chambers and Dan Jurafsky. 2009. Unsupervised Learning of Narrative Schemas and their Participants. In ACL. Quadratic-Time Dependency Parsing for Machine Translation http://www.aclweb.org/anthology/P/P09/P09-1087 Michel Galley and Christopher D. Manning. 2009. Quadratic-Time Dependency Parsing for Machine Translation. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP. Robust Machine Translation Evaluation with Entailment Features http://www.aclweb.org/anthology/P/P09/P09-1034 Sebastian Pado, Michel Galley, Dan Jurafsky, and Christopher D. Manning. 2009. Robust Machine Translation Evaluation with Entailment Features. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP. Distant supervision for relation extraction without labeled data http://www-nlp.stanford.edu/pubs/mintz09.pdf Mike Mintz, Steven Bills, Rion Snow, and Dan Jurafsky. 2009. Distant supervision for relation extraction without labeled data. In Proceedings of ACL-AJCNLP 2009. Hierarchical Bayesian Domain Adaptation http://www-nlp.stanford.edu/pubs/hdba.pdf Jenny Rose Finkel and Christopher D. Manning. 2009. Hierarchical Bayesian Domain Adaptation. Proceedings of the North American Association of Computational Linguistics (NAACL 2009). Joint Parsing and Named Entity Recognition http://www-nlp.stanford.edu/pubs/joint-parse-ner.pdf Jenny Rose Finkel and Christopher D. Manning. 2009. Joint Parsing and Named Entity Recognition. Proceedings of the North American Association of Computational Linguistics (NAACL 2009). Extracting Social Meaning: Identifying Interactional Style in Spoken Conversation http://www-nlp.stanford.edu/pubs/social09.pdf Dan Jurafsky, Rajesh Ranganath, and Dan McFarland. Extracting Social Meaning: Identifying Interactional Style in Spoken Conversation. Proceedings of the North American Association of Computational Linguistics (NAACL 2009). Discriminative Reordering with Chinese Grammatical Relations Features http://www-nlp.stanford.edu/pubs/ssst09-chang.pdf Pi-Chuan Chang, Huihsin Tseng, Dan Jurafsky, and Christopher D. Manning. 2009. Discriminative Reordering with Chinese Grammatical Relations Features. Proceedings of the Third Workshop on Syntax and Structure in Statistical Translation. Clustering the Tagged Web http://ilpubs.stanford.edu:8090/890/ Daniel Ramage, Paul Heymann, Christopher D. Manning, and Hector Garcia-Molina. 2009. Clustering the Tagged Web. Second ACM International Conference on Web Search and Data Mining (WSDM 2009). Revisiting Graphemes with Increasing Amounts of Data http://www-nlp.stanford.edu/pubs/icassp2009grapheme.pdf Yun-Hsuan Sung, Thad Hughes, Francoise Beaufays, and Brian Strope. 2009. Revisiting Graphemes with Increasing Amounts of Data. IEEE ICASSP. Disambiguating "DE" for Chinese-English Machine Translation http://www-nlp.stanford.edu/pubs/wmt09-chang.pdf Chang, Pi-Chuan and Jurafsky, Daniel and Manning, Christopher D.. 2009. Disambiguating "DE" for Chinese-English Machine Translation. Proceedings of the Fourth Workshop on Statistical Machine Translation. Textual Entailment Features for Machine Translation Evaluation http://www-nlp.stanford.edu/pubs/wmt09_pado.pdf Sebastian Pado, Michel Galley, Dan Jurafsky, and Christopher Manning. 2009. Textual Entailment Features for Machine Translation Evaluation. Proceedings of the EACL Workshop on Machine Translation. An extended model of natural logic http://www-nlp.stanford.edu/pubs/natlog-iwcs09.pdf Bill MacCartney and Christopher D. Manning. 2009. An extended model of natural logic. Proceedings of the Eighth International Conference on Computational Semantics (IWCS-8). Predictability Effects on Durations of Content and Function Words in Conversational English http://www-nlp.stanford.edu/pubs/bell09.pdf Alan Bell, Jason Brenier, Michelle Gregory, Cynthia Girand, and Dan Jurafsky. 2009. Predictability Effects on Durations of Content and Function Words in Conversational English. Journal of Memory and Language 60(1):92-111. Social Tag Prediction http://ilpubs.stanford.edu:8090/834/ Paul Heymann, Daniel Ramage, and Hector Garcia-Molina. 2008. Social Tag Prediction. 31st Annual International ACM SIGIR Conference (SIGIR'08). Modeling semantic containment and exclusion in natural language inference http://www-nlp.stanford.edu/pubs/natlog-coling08.pdf Bill MacCartney and Christopher D. Manning. 2008. Modeling semantic containment and exclusion in natural language inference. Proceedings of the 22nd International Conference on Computational Linguistics (Coling). Best paper award. Jointly Combining Implicit Constraints Improves Temporal Ordering http://www-nlp.stanford.edu/pubs/chambers-emnlp08.pdf Nathanael Chambers and Dan Jurafsky. 2008. Jointly Combining Implicit Constraints Improves Temporal Ordering. Proceedings of EMNLP. Studying the History of Ideas Using Topic Models http://www-nlp.stanford.edu/pubs/hall-emnlp08.pdf David L.W. Hall, Daniel Jurafsky, and Christopher D. Manning. 2008. Studying the History of Ideas Using Topic Models. Proceedings of EMNLP. Cheap and Fast - But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks http://www-nlp.stanford.edu/pubs/amt_emnlp08.pdf Rion Snow, Brendan O'Connor, Daniel Jurafsky, and Andrew Y. Ng. 2008. Cheap and Fast - But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks. Proceedings of EMNLP. A Simple and Effective Hierarchical Phrase Reordering Model http://www-nlp.stanford.edu/pubs/emnlp08-lexorder.pdf Michel Galley and Christopher D. Manning. 2008. A Simple and Effective Hierarchical Phrase Reordering Model. Proceedings of EMNLP. A phrase-based alignment model for natural language inference http://www-nlp.stanford.edu/pubs/nli-alignment-emnlp08.pdf Bill MacCartney and Michel Galley and Christopher D. Manning. 2008. A phrase-based alignment model for natural language inference. Proceedings of EMNLP. A Structured Vector Space Model for Word Meaning in Context http://www-nlp.stanford.edu/pubs/structuredVS.pdf Katrin Erk and Sebastian Pado. 2008. A Structured Vector Space Model for Word Meaning in Context. Proceedings of EMNLP. The Stanford typed dependencies representation http://www-nlp.stanford.edu/pubs/dependencies-coling08.pdf Marie-Catherine de Marneffe and Christopher D. Manning. 2008. The Stanford typed dependencies representation. COLING Workshop on Cross-framework and Cross-domain Parser Evaluation. Unsupervised Learning of Narrative Event Chains http://www-nlp.stanford.edu/pubs/narrative-chains08.pdf Nathanael Chambers and Dan Jurafsky. 2008. Unsupervised Learning of Narrative Event Chains. ACL/HLT. Tregex and Tsurgeon: tools for querying and manipulating tree data structures http://www-nlp.stanford.edu/pubs/levy_andrew_lrec2006.pdf Roger Levy and Galen Andrew. 2006. Tregex and Tsurgeon: tools for querying and manipulating tree data structures. In 5th International Conference on Language Resources and Evaluation (LREC 2006).