Daniel Jurafsky

Publication Activity (10 Years)

Years Active: 1988-2017
Publications (10 Years): 1

Top Topics

Continuous Speech Recognition

Conditional Expectation

Event Extraction

Top Venues

Publications

Andrew L. Maas, Peng Qi, Ziang Xie, Awni Y. Hannun, Christopher T. Lengerich, Daniel Jurafsky, Andrew Y. Ng
Building DNN acoustic models for large vocabulary speech recognition. Comput. Speech Lang. 41 (2017)
Kevin Reschke, Martin Jankowiak, Mihai Surdeanu, Christopher D. Manning, Daniel Jurafsky
Event Extraction Using Distant Supervision. LREC (2014)
Andrew L. Maas, Awni Y. Hannun, Christopher T. Lengerich, Peng Qi, Daniel Jurafsky, Andrew Y. Ng
Increasing Deep Neural Network Acoustic Model Size for Large Vocabulary Continuous Speech Recognition. CoRR (2014)
Andrew L. Maas, Awni Y. Hannun, Daniel Jurafsky, Andrew Y. Ng
First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs. CoRR (2014)
Adam Vogel, Max Bodoia, Christopher Potts, Daniel Jurafsky
Emergence of Gricean Maxims from Multi-Agent Decision Theory. HLT-NAACL (2013)
Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jurafsky
Breaking Out of Local Optima with Count Transforms and Model Recombination: A Study in Grammar Induction. EMNLP (2013)
Marta Recasens, Matthew Can, Daniel Jurafsky
Same Referent, Different Words: Unsupervised Mining of Opaque Coreferent Mentions. HLT-NAACL (2013)
Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jurafsky
Bootstrapping Dependency Grammar Inducers from Incomplete Sentence Fragments via Austere Models. ICGI (2012)
Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jurafsky
Three Dependency-and-Boundary Models for Grammar Induction. EMNLP-CoNLL (2012)
Gabor Angeli, Christopher D. Manning, Daniel Jurafsky
Parsing Time: Learning to Interpret Time Expressions. HLT-NAACL (2012)
Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jurafsky
Lateen EM: Unsupervised Training with Multiple Objectives, Applied to Dependency Grammar Induction. EMNLP (2011)
Valentin I. Spitkovsky, Hiyan Alshawi, Angel X. Chang, Daniel Jurafsky
Unsupervised Dependency Parsing without Gold Part-of-Speech Tags. EMNLP (2011)
Ramesh Nallapati, Xiaolin Shi, Daniel A. McFarland, Jure Leskovec, Daniel Jurafsky
LeadLag LDA: Estimating Topic Specific Leads and Lags of Information Outlets. ICWSM (2011)
Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jurafsky
Punctuation: Making a Point in Unsupervised Dependency Parsing. CoNLL (2011)
Nikhil Johri, Daniel Ramage, Daniel A. McFarland, Daniel Jurafsky
A Study of Academic Collaborations in Computational Linguistics using a Latent Mixture of Authors Model. LaTeCH@ACL (2011)
Nathanael Chambers, Daniel Jurafsky
Improving the Use of Pseudo-Words for Evaluating Selectional Preferences. ACL (2010)
Nathanael Chambers, Daniel Jurafsky
A Database of Narrative Schemas. LREC (2010)
Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jurafsky, Christopher D. Manning
Viterbi Training Improves Unsupervised Dependency Parsing. CoNLL (2010)
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)
Adam Vogel, Daniel Jurafsky
Learning to Follow Navigational Directions. ACL (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 Commun. 52 (3) (2010)
Daniel M. Cer, Marie-Catherine de Marneffe, Daniel Jurafsky, Christopher D. Manning
Parsing to Stanford Dependencies: Trade-offs between Speed and Accuracy. LREC (2010)
Daniel M. Cer, Christopher D. Manning, Daniel Jurafsky
The Best Lexical Metric for Phrase-Based Statistical MT System Optimization. HLT-NAACL (2010)
Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jurafsky
From Baby Steps to Leapfrog: How "Less is More" in Unsupervised Dependency Parsing. HLT-NAACL (2010)
Valentin I. Spitkovsky, Daniel Jurafsky, Hiyan Alshawi
Profiting from Mark-Up: Hyper-Text Annotations for Guided Parsing. ACL (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)
Rajesh Ranganath, Daniel Jurafsky, Daniel A. McFarland
It's Not You, it's Me: Detecting Flirting and its Misperception in Speed-Dates. EMNLP (2009)
Sebastian Padó, Michel Galley, Daniel Jurafsky, Christopher D. Manning
Machine Translation Evaluation with Textual Entailment Features. WMT@EACL (2009)
Pi-Chuan Chang, Daniel Jurafsky, Christopher D. Manning
Disambiguating "DE" for Chinese-English Machine Translation. WMT@EACL (2009)
Eneko Agirre, Angel X. Chang, Daniel Jurafsky, Christopher D. Manning, Valentin I. Spitkovsky, Eric Yeh
Stanford-UBC at TAC-KBP. TAC (2009)
Daniel Jurafsky, Rajesh Ranganath, Daniel A. McFarland
Extracting Social Meaning: Identifying Interactional Style in Spoken Conversation. HLT-NAACL (2009)
Mike Mintz, Steven Bills, Rion Snow, Daniel Jurafsky
Distant supervision for relation extraction without labeled data. ACL/IJCNLP (2009)
Sebastian Padó, Michel Galley, Daniel Jurafsky, Christopher D. Manning
Robust Machine Translation Evaluation with Entailment Features. ACL/IJCNLP (2009)
Yun-Hsuan Sung, Daniel Jurafsky
Hidden Conditional Random Fields for phone recognition. ASRU (2009)
Daniel Jurafsky
It's not you, it's me: Automatically extracting social meaning from speed dates. ASRU (2009)
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)
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)
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)
David Hall, Daniel Jurafsky, Christopher D. Manning
Studying the History of Ideas Using Topic Models. EMNLP (2008)
Nathanael Chambers, Daniel Jurafsky
Unsupervised Learning of Narrative Event Chains. ACL (2008)
Nathanael Chambers, Daniel Jurafsky
Jointly Combining Implicit Constraints Improves Temporal Ordering. EMNLP (2008)
Nathanael Chambers, Shan Wang, Daniel Jurafsky
Classifying Temporal Relations Between Events. ACL (2007)
Rion Snow, Sushant Prakash, Daniel Jurafsky, Andrew Y. Ng
Learning to Merge Word Senses. EMNLP-CoNLL (2007)
Surabhi Gupta, Matthew Purver, Daniel Jurafsky
Disambiguating Between Generic and Referential "You" in Dialog. ACL (2007)
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)
Surabhi Gupta, Ani Nenkova, Daniel Jurafsky
Measuring Importance and Query Relevance in Topic-focused Multi-document Summarization. ACL (2007)
Rion Snow, Daniel Jurafsky, Andrew Y. Ng
Semantic Taxonomy Induction from Heterogenous Evidence. ACL (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)
Jing Li, Thomas Zheng, William Byrne, Daniel Jurafsky
A Dialectal Chinese Speech Recognition Framework. J. Comput. Sci. Technol. 21 (1) (2006)
Cheng-Tao Chu, Yun-Hsuan Sung, Yuan Zhao, Daniel Jurafsky
Detection of word fragments in Mandarin telephone conversation. INTERSPEECH (2006)
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)
Huihsin Tseng, Pi-Chuan Chang, Galen Andrew, Daniel Jurafsky, Christopher D. Manning
A Conditional Random Field Word Segmenter for Sighan Bakeoff 2005. SIGHAN@IJCNLP 2005 (2005)
Jiahong Yuan, Jason M. Brenier, Daniel Jurafsky
Pitch accent prediction: effects of genre and speaker. INTERSPEECH (2005)
Sameer S. Pradhan, Wayne H. Ward, Kadri Hacioglu, James H. Martin, Daniel Jurafsky
Semantic Role Labeling Using Different Syntactic Views. ACL (2005)
Huihsin Tseng, Daniel Jurafsky, Christopher D. Manning
Morphological features help POS tagging of unknown words across language varieties. SIGHAN@IJCNLP 2005 (2005)
Sameer Pradhan, Kadri Hacioglu, Wayne H. Ward, James H. Martin, Daniel Jurafsky
Semantic Role Chunking Combining Complementary Syntactic Views. CoNLL (2005)
Jason M. Brenier, Daniel M. Cer, Daniel Jurafsky
The detection of emphatic words using acoustic and lexical features. INTERSPEECH (2005)
Eric Fosler-Lussier, William Byrne, Daniel Jurafsky
Editorial. Speech Commun. 46 (2) (2005)
Sameer S. Pradhan, Kadri Hacioglu, Valerie Krugler, Wayne H. Ward, James H. Martin, Daniel Jurafsky
Support Vector Learning for Semantic Argument Classification. Mach. Learn. 60 (1-3) (2005)
Sameer S. Pradhan, Wayne H. Ward, Kadri Hacioglu, James H. Martin, Daniel Jurafsky
Shallow Semantic Parsing using Support Vector Machines. HLT-NAACL (2004)
Sameer Pradhan, Honglin Sun, Wayne H. Ward, James H. Martin, Daniel Jurafsky
Parsing Arguments of Nominalizations in English and Chinese. HLT-NAACL (Short Papers) (2004)
Mona T. Diab, Kadri Hacioglu, Daniel Jurafsky
Automatic Tagging of Arabic Text: From Raw Text to Base Phrase Chunks. HLT-NAACL (Short Papers) (2004)
Rion Snow, Daniel Jurafsky, Andrew Y. Ng
Learning Syntactic Patterns for Automatic Hypernym Discovery. NIPS (2004)
Honglin Sun, Daniel Jurafsky
Shallow Semantc Parsing of Chinese. HLT-NAACL (2004)
Kadri Hacioglu, Sameer Pradhan, Wayne H. Ward, James H. Martin, Daniel Jurafsky
Semantic Role Labeling by Tagging Syntactic Chunks. CoNLL (2004)
Sameer S. Pradhan, Kadri Hacioglu, Wayne H. Ward, James H. Martin, Daniel Jurafsky
Semantic Role Parsing: Adding Semantic Structure to Unstructured Text. ICDM (2003)
Daniel Gildea, Daniel Jurafsky
Automatic Labeling of Semantic Roles. Comput. Linguistics 28 (3) (2002)
Sameer S. Pradhan, Valerie Krugler, Steven Bethard, Wayne H. 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 R. McKeown, Gabriel Illouz
Building a Foundation System for Producing Short Answers to Factual Questions. TREC (2002)
Patrick Schone, Daniel Jurafsky
Is Knowledge-Free Induction of Multiword Unit Dictionary Headwords a Solved Problem? EMNLP (2001)
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)
Daniel Jurafsky, Alan Bell, Michelle Gregory, William D. Raymond
The effect of language model probability on pronunciation reduction. ICASSP (2001)
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 (2000)
Patrick Schone, Daniel Jurafsky
Knowledge-Free Induction of Morphology Using Latent Semantic Analysis. CoNLL/LLL (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 (2000)
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. Comput. Linguistics 26 (3) (2000)
Daniel Jurafsky, Alan Bell, Eric Fosler-Lussier, Cynthia Girand, William D. Raymond
Reduction of English function words in switchboard. ICSLP (1998)
Noah Coccaro, Daniel Jurafsky
Towards better integration of semantic predictors in statistical language modeling. ICSLP (1998)
Charles J. Fillmore, Nancy Ide, Daniel Jurafsky, Catherine Macleod
An American national corpus: a proposal. LREC (1998)
Douglas Roland, Daniel Jurafsky
How Verb Subcategorization Frequencies Are Affected By Corpus Choice. COLING-ACL (1998)
Daniel Jurafsky
A Probabilistic Model of Lexical and Syntactic Access and Disambiguation. Cogn. Sci. 20 (2) (1996)
Daniel Gildea, Daniel Jurafsky
Learning Bias and Phonological-Rule Induction. Comput. Linguistics 22 (4) (1996)
Gary N. Tajchman, Eric Fosler, Daniel Jurafsky
Building multiple pronunciation models for novel words using exploratory computational phonology. EUROSPEECH (1995)
Gary N. Tajchman, Daniel Jurafsky, Eric Fosler
Learning Phonological Rule Probabilities from Speech Corpora with Exploratory Computational Phonology. ACL (1995)
Daniel Gildea, Daniel Jurafsky
Automatic Induction of Finite State Transducers for Simple Phonological Rules. ACL (1995)
Daniel Jurafsky, Chuck Wooters, Jonathan Segal, Andreas Stolcke, Eric Fosler, Gary N. Tajchman, Nelson Morgan
Using a stochastic context-free grammar as a language model for speech recognition. ICASSP (1995)
Daniel Jurafsky, Chuck Wooters, Gary N. Tajchman, Jonathan Segal, Andreas Stolcke, Eric Fosler, Nelson Morgan
The berkeley restaurant project. ICSLP (1994)
Daniel Jurafsky
An On-Line Computational Model of Human Sentence Interpretation. AAAI (1992)
Daniel Jurafsky
Representing and Integrating Linguistic Knowledge. COLING (1990)
Daniel Jurafsky
James Allen, Understanding Natural Language. Artif. Intell. 38 (3) (1989)
Daniel Jurafsky
Issues in Relating Syntax Semantics. COLING (1988)