Daniel Jurafsky

Rajesh Ranganath, Dan Jurafsky, Daniel A. McFarland: Detecting friendly, flirtatious, awkward, and assertive speech in speed-dates. Computer Speech & Language 27(1): 89-115 (2013)

Michael Levin, Stefan Krawczyk, Steven Bethard, Dan Jurafsky: Citation-based bootstrapping for large-scale author disambiguation. JASIST 63(5): 1030-1047 (2012)

Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jurafsky: Bootstrapping Dependency Grammar Inducers from Incomplete Sentence Fragments via Austere Models. Journal of Machine Learning Research - Proceedings Track 21: 189-194 (2012)

Heeyoung Lee, Marta Recasens, Angel X. Chang, Mihai Surdeanu, Dan Jurafsky: Joint Entity and Event Coreference Resolution across Documents. EMNLP-CoNLL 2012: 489-500

Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jurafsky: Three Dependency-and-Boundary Models for Grammar Induction. EMNLP-CoNLL 2012: 688-698

Julian J. McAuley, Jure Leskovec, Dan Jurafsky: Learning Attitudes and Attributes from Multi-aspect Reviews. ICDM 2012: 1020-1025

Nathanael Chambers, Dan Jurafsky: Learning the Central Events and Participants in Unlabeled Text. ICML 2012

Gabor Angeli, Christopher D. Manning, Daniel Jurafsky: Parsing Time: Learning to Interpret Time Expressions. HLT-NAACL 2012: 446-455

Julian J. McAuley, Jure Leskovec, Dan Jurafsky: Learning Attitudes and Attributes from Multi-Aspect Reviews. CoRR abs/1210.3926 (2012)

Nathanael Chambers, Dan Jurafsky: Template-Based Information Extraction without the Templates. ACL 2011: 976-986

Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jurafsky: Lateen EM: Unsupervised Training with Multiple Objectives, Applied to Dependency Grammar Induction. EMNLP 2011: 1269-1280

Valentin I. Spitkovsky, Hiyan Alshawi, Angel X. Chang, Daniel Jurafsky: Unsupervised Dependency Parsing without Gold Part-of-Speech Tags. EMNLP 2011: 1281-1290

Ramesh Nallapati, Xiaolin Shi, Daniel A. McFarland, Jure Leskovec, Daniel Jurafsky: LeadLag LDA: Estimating Topic Specific Leads and Lags of Information Outlets. ICWSM 2011

Dan Jurafsky: Sex, food, and words: the hidden meanings behind everyday language. UIST 2011: 429-430

Sasha Calhoun, Jean Carletta, Jason M. Brenier, Neil Mayo, Dan Jurafsky, Mark Steedman, David Beaver: The NXT-format Switchboard Corpus: a rich resource for investigating the syntax, semantics, pragmatics and prosody of dialogue. Language Resources and Evaluation 44(4): 387-419 (2010)

Sharon Goldwater, Daniel Jurafsky, Christopher D. Manning: Which words are hard to recognize? Prosodic, lexical, and disfluency factors that increase speech recognition error rates. Speech Communication 52(3): 181-200 (2010)

Nathanael Chambers, Daniel Jurafsky: Improving the Use of Pseudo-Words for Evaluating Selectional Preferences. ACL 2010: 445-453

Adam Vogel, Daniel Jurafsky: Learning to Follow Navigational Directions. ACL 2010: 806-814

Valentin I. Spitkovsky, Daniel Jurafsky, Hiyan Alshawi: Profiting from Mark-Up: Hyper-Text Annotations for Guided Parsing. ACL 2010: 1278-1287

Steven Bethard, Dan Jurafsky: Who should I cite: learning literature search models from citation behavior. CIKM 2010: 609-618

Karthik Raghunathan, Heeyoung Lee, Sudarshan Rangarajan, Nate Chambers, Mihai Surdeanu, Dan Jurafsky, Christopher D. Manning: A Multi-Pass Sieve for Coreference Resolution. EMNLP 2010: 492-501

Daniel M. Cer, Marie-Catherine de Marneffe, Daniel Jurafsky, Christopher D. Manning: Parsing to Stanford Dependencies: Trade-offs between Speed and Accuracy. LREC 2010

Nathanael Chambers, Daniel Jurafsky: A Database of Narrative Schemas. LREC 2010

Daniel M. Cer, Michel Galley, Daniel Jurafsky, Christopher D. Manning: Phrasal: A Statistical Machine Translation Toolkit for Exploring New Model Features. NAACL (Demos) 2010: 9-12

Daniel M. Cer, Christopher D. Manning, Daniel Jurafsky: The Best Lexical Metric for Phrase-Based Statistical MT System Optimization. HLT-NAACL 2010: 555-563

Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jurafsky: From Baby Steps to Leapfrog: How "Less is More" in Unsupervised Dependency Parsing. HLT-NAACL 2010: 751-759

Elie Bursztein, Steven Bethard, Celine Fabry, John C. Mitchell, Daniel Jurafsky: How Good Are Humans at Solving CAPTCHAs? A Large Scale Evaluation. IEEE Symposium on Security and Privacy 2010: 399-413

Chu-Ren Huang, Dan Jurafsky (Eds.): COLING 2010, 23rd International Conference on Computational Linguistics, Proceedings of the Conference, 23-27 August 2010, Beijing, China. Tsinghua University Press 2010

Chu-Ren Huang, Dan Jurafsky (Eds.): COLING 2010, 23rd International Conference on Computational Linguistics, Posters Volume, 23-27 August 2010, Beijing, China. Chinese Information Processing Society of China 2010

Sebastian Padó, Daniel M. Cer, Michel Galley, Dan Jurafsky, Christopher D. Manning: Measuring machine translation quality as semantic equivalence: A metric based on entailment features. Machine Translation 23(2-3): 181-193 (2009)

Sebastian Padó, Michel Galley, Daniel Jurafsky, Christopher D. Manning: Robust Machine Translation Evaluation with Entailment Features. ACL/IJCNLP 2009: 297-305

Nathanael Chambers, Dan Jurafsky: Unsupervised Learning of Narrative Schemas and their Participants. ACL/IJCNLP 2009: 602-610

Mike Mintz, Steven Bills, Rion Snow, Daniel Jurafsky: Distant supervision for relation extraction without labeled data. ACL/IJCNLP 2009: 1003-1011

Daniel Jurafsky: It's not you, it's me: Automatically extracting social meaning from speed dates. ASRU 2009: 11

Yun-Hsuan Sung, Daniel Jurafsky: Hidden Conditional Random Fields for phone recognition. ASRU 2009: 107-112

Rajesh Ranganath, Daniel Jurafsky, Daniel A. McFarland: It's Not You, it's Me: Detecting Flirting and its Misperception in Speed-Dates. EMNLP 2009: 334-342

Daniel Jurafsky, Rajesh Ranganath, Daniel A. McFarland: Extracting Social Meaning: Identifying Interactional Style in Spoken Conversation. HLT-NAACL 2009: 638-646

Sharon Goldwater, Daniel Jurafsky, Christopher D. Manning: Which Words Are Hard to Recognize? Prosodic, Lexical, and Disfluency Factors that Increase ASR Error Rates. ACL 2008: 380-388

Nathanael Chambers, Daniel Jurafsky: Unsupervised Learning of Narrative Event Chains. ACL 2008: 789-797

Rion Snow, Brendan O'Connor, Daniel Jurafsky, Andrew Y. Ng: Cheap and Fast - But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks. EMNLP 2008: 254-263

David Hall, Daniel Jurafsky, Christopher D. Manning: Studying the History of Ideas Using Topic Models. EMNLP 2008: 363-371

Nathanael Chambers, Daniel Jurafsky: Jointly Combining Implicit Constraints Improves Temporal Ordering. EMNLP 2008: 698-706

Yun-Hsuan Sung, Constantinos Boulis, Daniel Jurafsky: Maximum conditional likelihood linear regression and maximum a posteriori for hidden conditional random fields speaker adaptation. ICASSP 2008: 4293-4296

Nathanael Chambers, Shan Wang, Daniel Jurafsky: Classifying Temporal Relations Between Events. ACL 2007

Surabhi Gupta, Ani Nenkova, Daniel Jurafsky: Measuring Importance and Query Relevance in Topic-focused Multi-document Summarization. ACL 2007

Surabhi Gupta, Matthew Purver, Daniel Jurafsky: Disambiguating Between Generic and Referential "You" in Dialog. ACL 2007

Ani Nenkova, Dan Jurafsky: Automatic detection of contrastive elements in spontaneous speech. ASRU 2007: 201-206

Yun-Hsuan Sung, Constantinos Boulis, Christopher D. Manning, Dan Jurafsky: Regularization, adaptation, and non-independent features improve hidden conditional random fields for phone classification. ASRU 2007: 347-352

Rion Snow, Sushant Prakash, Daniel Jurafsky, Andrew Y. Ng: Learning to Merge Word Senses. EMNLP-CoNLL 2007: 1005-1014

Volker Strom, Ani Nenkova, Robert A. J. Clark, Yolanda Vazquez-Alvarez, Jason M. Brenier, Simon King, Dan Jurafsky: Modelling prominence and emphasis improves unit-selection synthesis. INTERSPEECH 2007: 1282-1285

Ani Nenkova, Jason M. Brenier, Anubha Kothari, Sasha Calhoun, Laura Whitton, David Beaver, Daniel Jurafsky: To Memorize or to Predict: Prominence labeling in Conversational Speech. HLT-NAACL 2007: 9-16

Jing Li, Thomas Zheng, William Byrne, Daniel Jurafsky: A Dialectal Chinese Speech Recognition Framework. J. Comput. Sci. Technol. 21(1): 106-115 (2006)

Rion Snow, Daniel Jurafsky, Andrew Y. Ng: Semantic Taxonomy Induction from Heterogenous Evidence. ACL 2006

Cheng-Tao Chu, Yun-Hsuan Sung, Yuan Zhao, Daniel Jurafsky: Detection of word fragments in Mandarin telephone conversation. INTERSPEECH 2006

Constance Clarke, Daniel Jurafsky: Limitations of MLLR adaptation with Spanish-accented English: an error analysis. INTERSPEECH 2006

Filip Krsmanovic, Curtis Spencer, Daniel Jurafsky, Andrew Y. Ng: Have we met? MDP based speaker ID for robot dialogue. INTERSPEECH 2006

Jason M. Brenier, Ani Nenkova, Anubha Kothari, Laura Whitton, David Beaver, Dan Jurafsky: The (Non)Utility of Linguistic Features for Predicting prominence in spontaneous speech. SLT 2006: 54-57

Dan Jurafsky, Éric Gaussier (Eds.): EMNLP 2007, Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, 22-23 July 2006, Sydney, Australia. ACL 2006, isbn 1-932432-73-6

Sameer S. Pradhan, Kadri Hacioglu, Valerie Krugler, Wayne Ward, James H. Martin, Daniel Jurafsky: Support Vector Learning for Semantic Argument Classification. Machine Learning 60(1-3): 11-39 (2005)

Eric Fosler-Lussier, William Byrne, Daniel Jurafsky: Editorial. Speech Communication 46(2): 117-118 (2005)

Sameer S. Pradhan, Wayne Ward, Kadri Hacioglu, James H. Martin, Daniel Jurafsky: Semantic Role Labeling Using Different Syntactic Views. ACL 2005

Yanli Zheng, Richard Sproat, Liang Gu, Izhak Shafran, Haolang Zhou, Yi Su, Daniel Jurafsky, Rebecca Starr, Su-Youn Yoon: Accent detection and speech recognition for Shanghai-accented Mandarin. INTERSPEECH 2005: 217-220

Jiahong Yuan, Jason M. Brenier, Daniel Jurafsky: Pitch accent prediction: effects of genre and speaker. INTERSPEECH 2005: 1409-1412

Jason M. Brenier, Daniel M. Cer, Daniel Jurafsky: The detection of emphatic words using acoustic and lexical features. INTERSPEECH 2005: 3297-3300

Sameer S. Pradhan, Wayne Ward, Kadri Hacioglu, James H. Martin, Daniel Jurafsky: Shallow Semantic Parsing using Support Vector Machines. HLT-NAACL 2004: 233-240

Honglin Sun, Daniel Jurafsky: Shallow Semantc Parsing of Chinese. HLT-NAACL 2004: 249-256

Rion Snow, Daniel Jurafsky, Andrew Y. Ng: Learning Syntactic Patterns for Automatic Hypernym Discovery. NIPS 2004

Sameer S. Pradhan, Kadri Hacioglu, Wayne Ward, James H. Martin, Daniel Jurafsky: Semantic Role Parsing: Adding Semantic Structure to Unstructured Text. ICDM 2003: 629-632

Daniel Gildea, Daniel Jurafsky: Automatic Labeling of Semantic Roles. Computational Linguistics 28(3): 245-288 (2002)

Sameer S. Pradhan, Valerie Krugler, Steven Bethard, Wayne Ward, Daniel Jurafsky, James H. Martin, Sasha Blair-Goldensohn, Andrew Hazen Schlaikjer, Elena Filatova, Pablo Ariel Duboué, Hong Yu, Rebecca J. Passonneau, Vasileios Hatzivassiloglou, Kathleen McKeown, Gabriel Illouz: Building a Foundation System for Producing Short Answers to Factual Questions. TREC 2002

Patrick Schone, Daniel Jurafsky: Knowledge-Free Induction of Inflectional Morphologies. NAACL 2001

S. Narayanan, Daniel Jurafsky: A Bayesian Model Predicts Human Parse Preference and Reading Times in Sentence Processing. NIPS 2001: 59-65

Andreas Stolcke, Klaus Ries, Noah Coccaro, Elizabeth Shriberg, Rebecca A. Bates, Daniel Jurafsky, Paul Taylor, Rachel Martin, Carol Van Ess-Dykema, Marie Meteer: Dialog Act Modeling for Automatic Tagging and Recognition of Conversational Speech. Computational Linguistics 26(3): 339-373 (2000)

Daniel Gildea, Daniel Jurafsky: Automatic Labeling of Semantic Roles. ACL 2000

Andreas Stolcke, Klaus Ries, Noah Coccaro, Elizabeth Shriberg, Rebecca A. Bates, Daniel Jurafsky, Paul Taylor, Rachel Martin, Carol Van Ess-Dykema, Marie Meteer: Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech. CoRR cs.CL/0006023 (2000)

Elizabeth Shriberg, Rebecca A. Bates, Andreas Stolcke, Paul Taylor, Daniel Jurafsky, Klaus Ries, Noah Coccaro, Rachel Martin, Marie Meteer, Carol Van Ess-Dykema: Can Prosody Aid the Automatic Classification of Dialog Acts in Conversational Speech? CoRR cs.CL/0006024 (2000)

Douglas Roland, Daniel Jurafsky: How Verb Subcategorization Frequencies Are Affected By Corpus Choice. COLING-ACL 1998: 1122-1128

Noah Coccaro, Daniel Jurafsky: Towards better integration of semantic predictors in statistical language modeling. ICSLP 1998

Daniel Jurafsky, Alan Bell, Eric Fosler-Lussier, Cynthia Girand, William Raymond: Reduction of English function words in switchboard. ICSLP 1998

Daniel Jurafsky: A Probabilistic Model of Lexical and Syntactic Access and Disambiguation. Cognitive Science 20(2): 137-194 (1996)

Daniel Gildea, Daniel Jurafsky: Learning Bias and Phonological-Rule Induction. Computational Linguistics 22(4): 497-530 (1996)

Gary Tajchman, Daniel Jurafsky, J. Eric Fosler: Learning Phonological Rule Probabilities from Speech Corpora with Exploratory Computational Phonology. ACL 1995: 1-8

Daniel Gildea, Daniel Jurafsky: Automatic Induction of Finite State Transducers for Simple Phonological Rules. ACL 1995: 9-15

Gary Tajchman, Eric Foster, Daniel Jurafsky: Building multiple pronunciation models for novel words using exploratory computational phonology. EUROSPEECH 1995

Daniel Jurafsky, Chuck Wooters, Gary Tajchman, Jonathan Segal, Andreas Stolcke, Eric Foster, Nelson Morgan: The berkeley restaurant project. ICSLP 1994

Daniel Jurafsky: An On-Line Computational Model of Human Sentence Interpretation. AAAI 1992: 302-308

Daniel Jurafsky: Representing and Integrating Linguistic Knowledge. COLING 1990: 199-204

Daniel Jurafsky: James Allen, Understanding Natural Language. Artif. Intell. 38(3): 367-377 (1989)

Daniel Jurafsky: Issues in Relating Syntax Semantics. COLING 1988: 278-284