Daniel Jurafsky

William D. Raymond, Daniel Jurafsky, Alan Bell, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Community Interaction and Conflict on the Web

Jure Leskovec, Daniel Jurafsky, William L. Hamilton, 2018, WWW.

Distant supervision for relation extraction without labeled data

Daniel Jurafsky, Mike Mintz, Rion Snow, 2009, ACL.

How Good Are Humans at Solving CAPTCHAs? A Large Scale Evaluation

John C. Mitchell, Daniel Jurafsky, Steven Bethard, 2010, 2010 IEEE Symposium on Security and Privacy.

A Computational Analysis of Style, Affect, and Imagery in Contemporary Poetry

Daniel Jurafsky, Justine T. Kao, Justine Kao, 2012, CLfL@NAACL-HLT.

Forms of English Function Words — Effects of Disfluencies , Turn Position , Age and Sex , and Predictability

Daniel Gildea, Daniel Jurafsky, Alan Bell, 1999 .

The NXT-format Switchboard Corpus: a rich resource for investigating the syntax, semantics, pragmatics and prosody of dialogue

Mark Steedman, Jean Carletta, Daniel Jurafsky, 2010, Lang. Resour. Evaluation.

JESC: Japanese-English Subtitle Corpus pdf

Daniel Jurafsky, Reid Pryzant, Denny Britz, 2017, LREC.

Support Vector Learning for Semantic Argument Classification

Daniel Jurafsky, Wayne H. Ward, James H. Martin, 2005, Machine Learning.

Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context

Daniel Jurafsky, Peng Qi, Urvashi Khandelwal, 2018, ACL.

Narrative framing of consumer sentiment in online restaurant reviews

Noah A. Smith, Daniel Jurafsky, Victor Chahuneau, 2014, First Monday.

Measuring the Evolution of a Scientific Field through Citation Frames

Daniel Jurafsky, Srijan Kumar, Daniel A. McFarland, 2018, TACL.

Morphological features help POS tagging of unknown words across language varieties

Daniel Jurafsky, Christopher D. Manning, Huihsin Tseng, 2005, IJCNLP.

Do Multi-Sense Embeddings Improve Natural Language Understanding?

Daniel Jurafsky, Jiwei Li, Dan Jurafsky, 2015, EMNLP.

A preliminary study of Mandarin filled pauses

Yuan Zhao, Daniel Jurafsky, 2005, DiSS.

Phrasal: A Statistical Machine Translation Toolkit for Exploring New Model Features

Daniel Jurafsky, Christopher D. Manning, Daniel M. Cer, 2010, NAACL.

RtGender: A Corpus for Studying Differential Responses to Gender

Yulia Tsvetkov, Daniel Jurafsky, Vinodkumar Prabhakaran, 2018, LREC.

From Baby Steps to Leapfrog: How “Less is More” in Unsupervised Dependency Parsing

Valentin I. Spitkovsky, Daniel Jurafsky, Hiyan Alshawi, 2010, NAACL.

Parsing Arguments of Nominalizations in English and Chinese

Daniel Jurafsky, Wayne H. Ward, James H. Martin, 2004, HLT-NAACL.

Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies pdf

Yulia Tsvetkov, Daniel Jurafsky, Shuly Wintner, 2018, EMNLP.

Citation-based bootstrapping for large-scale author disambiguation

Daniel Jurafsky, Steven Bethard, Michael Levin, 2012, J. Assoc. Inf. Sci. Technol..

THE (NON)UTILITY OF LINGUISTIC FEATURES FOR PREDICTING PROMINENCE IN SPONTANEOUS SPEECH

Ani Nenkova, Daniel Jurafsky, Jason M. Brenier, 2006, 2006 IEEE Spoken Language Technology Workshop.

Implicatures and Nested Beliefs in Approximate Decentralized-POMDPs

Christopher Potts, Daniel Jurafsky, Adam Vogel, 2013, ACL.

Disambiguating “DE” for Chinese-English Machine Translation

Daniel Jurafsky, Christopher D. Manning, Pi-Chuan Chang, 2009, WMT@EACL.

The Effect of Rhythm on Structural Disambiguation in Chinese

Daniel Jurafsky, Honglin Sun, 2003, SIGHAN.

On the Importance of Text Analysis for Stock Price Prediction

Heeyoung Lee, Mihai Surdeanu, Daniel Jurafsky, 2014, LREC.

Same Referent, Different Words: Unsupervised Mining of Opaque Coreferent Mentions

Daniel Jurafsky, Marta Recasens, Matthew Can, 2013, NAACL.

A Probabilistic Model of Lexical and Access and Disambiguation

Daniel Jurafsky, Dan Jurafsky, 1996 .

An On-Line Computational Model of Human Sentence Interpretation

Daniel Jurafsky, Dan Jurafsky, 1992, AAAI.

Positive Diversity Tuning for Machine Translation System Combination

Daniel Jurafsky, Christopher D. Manning, Daniel M. Cer, 2013, WMT@ACL.

Joint Entity and Event Coreference Resolution across Documents

Heeyoung Lee, Angel X. Chang, Mihai Surdeanu, 2012, EMNLP.

Deconfounded Lexicon Induction for Interpretable Social Science

Daniel Jurafsky, Reid Pryzant, Stefan Wagner, 2018, NAACL.

Speech and language processing: an introduction to natural language processing, computational linguistics, and speech recognition, 2nd Edition

Daniel Jurafsky, James H. Martin, Dan Jurafsky, 2009, Prentice Hall series in artificial intelligence.

Viterbi Training Improves Unsupervised Dependency Parsing

Valentin I. Spitkovsky, Daniel Jurafsky, Christopher D. Manning, 2010, CoNLL.

Embedding Logical Queries on Knowledge Graphs

Jure Leskovec, Marinka Zitnik, Daniel Jurafsky, 2018, NeurIPS.

No country for old members: user lifecycle and linguistic change in online communities

Jure Leskovec, Christopher Potts, Daniel Jurafsky, 2013, WWW.

The detection of emphatic words using acoustic and lexical features

Daniel Jurafsky, Daniel M. Cer, Jason M. Brenier, 2005, INTERSPEECH.

Understanding Neural Networks through Representation Erasure pdf

Daniel Jurafsky, Jiwei Li, Will Monroe, 2016, ArXiv.

Lexicon-Free Conversational Speech Recognition with Neural Networks

Daniel Jurafsky, Andrew Y. Ng, Andrew L. Maas, 2015, NAACL.

James Allen, Understanding Natural Language

Daniel Jurafsky, Dan Jurafsky, 1989, Artif. Intell..

Accent detection and speech recognition for Shanghai-accented Mandarin

Yi Su, Liang Gu, Su-Youn Yoon, 2005, INTERSPEECH.

Profiting from Mark-Up: Hyper-Text Annotations for Guided Parsing

Valentin I. Spitkovsky, Daniel Jurafsky, Hiyan Alshawi, 2010, ACL.

A scaffolding approach to coreference resolution integrating statistical and rule-based models

Heeyoung Lee, Mihai Surdeanu, Daniel Jurafsky, 2017, Natural Language Engineering.

Mutual Information and Diverse Decoding Improve Neural Machine Translation pdf

Daniel Jurafsky, Jiwei Li, Dan Jurafsky, 2016, ArXiv.

Template-Based Information Extraction without the Templates

Nathanael Chambers, Daniel Jurafsky, Dan Jurafsky, 2011, ACL.

It's not you, it's me: Automatically extracting social meaning from speed dates

Daniel Jurafsky, 2009, ASRU.

Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change pdf

Jure Leskovec, Daniel Jurafsky, William L. Hamilton, 2016, ACL.

He Said, She Said: Gender in the ACL Anthology

Daniel Jurafsky, Adam Vogel, Dan Jurafsky, 2012, Discoveries@ACL.

Unsupervised Learning of Narrative Event Chains

Nathanael Chambers, Daniel Jurafsky, Dan Jurafsky, 2008, ACL.

Verb Subcategorization Frequency Differences between Business- News and Balanced Corpora: The Role of Verb Sense

Daniel Jurafsky, Lise Menn, Douglas Roland, 2000, ACL 2000.

Proceedings of the 23rd International Conference on Computational Linguistics: Posters

Chu-Ren Huang, Daniel Jurafsky, Aravind K. Joshi, 2010, COLING 2010.

Neural Language Correction with Character-Based Attention pdf

Daniel Jurafsky, Andrew Y. Ng, Naveen Arivazhagan, 2016, ArXiv.

Sex, food, and words: the hidden meanings behind everyday language

Daniel Jurafsky, 2011, UIST '11.

A Study of Academic Collaborations in Computational Linguistics using a Latent Mixture of Authors Model

Daniel Jurafsky, Daniel A. McFarland, Daniel Ramage, 2011, LaTeCH@ACL.

First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs pdf

Daniel Jurafsky, Andrew Y. Ng, Awni Y. Hannun, 2014, ArXiv.

Maximum conditional likelihood linear regression and maximum a posteriori for hidden conditional random fields speaker adaptation

Daniel Jurafsky, Constantinos Boulis, Yun-Hsuan Sung, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Issues in Relating Syntax and Semantics

Daniel Jurafsky, Dan Jurafsky, 1988, COLING.

Robust Machine Translation Evaluation with Entailment Features

Daniel Jurafsky, Christopher D. Manning, Sebastian Padó, 2009, ACL.

A computational approach to politeness with application to social factors

Jure Leskovec, Christopher Potts, Daniel Jurafsky, 2013, ACL.

Detecting Institutional Dialog Acts in Police Traffic Stops

Daniel Jurafsky, Hang Su, Prateek Verma, 2018, TACL.

It’s Not You, it’s Me: Detecting Flirting and its Misperception in Speed-Dates

Daniel Jurafsky, Daniel A. McFarland, Rajesh Ranganath, 2009, EMNLP.

Representing and Integrating Linguistic Knowledge

Daniel Jurafsky, 1990, COLING.

Parsing Time: Learning to Interpret Time Expressions

Daniel Jurafsky, Christopher D. Manning, Gabor Angeli, 2012, NAACL.

Learning Attitudes and Attributes from Multi-aspect Reviews

Jure Leskovec, Daniel Jurafsky, Julian J. McAuley, 2012, 2012 IEEE 12th International Conference on Data Mining.

Learning Phonological Rule Probabilities from Speech Corpora with Exploratory Computational Phonology

Daniel Jurafsky, Gary Tajchman, Eric Fosler-Lussier, 1995, ACL.

Visualizing and Understanding Neural Models in NLP

Xinlei Chen, Daniel Jurafsky, Eduard H. Hovy, 2015, NAACL.

A Multi-Pass Sieve for Coreference Resolution

Heeyoung Lee, Mihai Surdeanu, Daniel Jurafsky, 2010, EMNLP.

Extracting Social Meaning: Identifying Interactional Style in Spoken Conversation

Daniel Jurafsky, Daniel A. McFarland, Rajesh Ranganath, 2009, NAACL.

Disambiguating Between Generic and Referential “You” in Dialog

Surabhi Gupta, Daniel Jurafsky, Matthew Purver, 2007, ACL.

Punctuation: Making a Point in Unsupervised Dependency Parsing

Valentin I. Spitkovsky, Daniel Jurafsky, Hiyan Alshawi, 2011, CoNLL.

Noising and Denoising Natural Language: Diverse Backtranslation for Grammar Correction

Daniel Jurafsky, Andrew Y. Ng, Guillaume Genthial, 2018, NAACL.

Who should I cite: learning literature search models from citation behavior

Daniel Jurafsky, Steven Bethard, Dan Jurafsky, 2010, CIKM.

Data Distillation for Controlling Specificity in Dialogue Generation pdf

Daniel Jurafsky, Jiwei Li, Will Monroe, 2017, ArXiv.

Automatic Tagging of Arabic Text: From Raw Text to Base Phrase Chunks

Daniel Jurafsky, Kadri Hacioglu, Mona T. Diab, 2004, NAACL.

Data Noising as Smoothing in Neural Network Language Models pdf

Daniel Jurafsky, Andrew Y. Ng, Jiwei Li, 2017, ICLR.

The berkeley restaurant project

Andreas Stolcke, Daniel Jurafsky, Nelson Morgan, 1994, ICSLP.

Using a stochastic context-free grammar as a language model for speech recognition

Andreas Stolcke, Daniel Jurafsky, Nelson Morgan, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

A Probabilistic Model of Lexical and Syntactic Access and Disambiguation

Daniel Jurafsky, Dan Jurafsky, 1996, Cogn. Sci..

Unsupervised Dependency Parsing without Gold Part-of-Speech Tags

Valentin I. Spitkovsky, Angel X. Chang, Daniel Jurafsky, 2011, EMNLP.

Event Extraction Using Distant Supervision

Mihai Surdeanu, Daniel Jurafsky, Christopher D. Manning, 2014, LREC.

Improving the Use of Pseudo-Words for Evaluating Selectional Preferences

Nathanael Chambers, Daniel Jurafsky, Dan Jurafsky, 2010, ACL.

Incorporating Dialectal Variability for Socially Equitable Language Identification

Yulia Tsvetkov, Daniel Jurafsky, David Jurgens, 2017, ACL.

Knowledge-Free Induction of Inflectional Morphologies

Daniel Jurafsky, Patrick Schone, Dan Jurafsky, 2001, NAACL.

Learning Syntactic Patterns for Automatic Hypernym Discovery

Daniel Jurafsky, Andrew Y. Ng, Rion Snow, 2004, NIPS.

Easy does it: more usable CAPTCHAs

John C. Mitchell, Daniel Jurafsky, Steven Bethard, 2014, CHI.

Building multiple pronunciation models for novel words using exploratory computational phonology

Daniel Jurafsky, Gary Tajchman, Eric Fosler-Lussier, 1995, EUROSPEECH.

A Conditional Random Field Word Segmenter for Sighan Bakeoff 2005

Daniel Jurafsky, Christopher D. Manning, Galen Andrew, 2005, IJCNLP.

Can Prosody Aid the Automatic Classification of Dialog Acts in Conversational Speech?

Andreas Stolcke, Daniel Jurafsky, Elizabeth Shriberg, 1998, Language and speech.

Neural Net Models of Open-domain Discourse Coherence pdf

Daniel Jurafsky, Jiwei Li, Dan Jurafsky, 2016, EMNLP.

Semantic Role Labeling by Tagging Syntactic Chunks

Daniel Jurafsky, Wayne H. Ward, James H. Martin, 2004, CoNLL.

Parsing to Stanford Dependencies: Trade-offs between Speed and Accuracy

Daniel Jurafsky, Christopher D. Manning, Marie-Catherine de Marneffe, 2010, LREC.

Eye Spy: Improving Vision through Dialog

Daniel Jurafsky, Adam Vogel, Karthik Raghunathan, 2010, AAAI Fall Symposium: Dialog with Robots.

Towards better integration of semantic predictors in statistical language modeling

Daniel Jurafsky, Noah Coccaro, Dan Jurafsky, 1998, ICSLP.

A Hierarchical Neural Autoencoder for Paragraphs and Documents pdf

Daniel Jurafsky, Jiwei Li, Minh-Thang Luong, 2015, ACL.

Semantic Role Labeling Using Different Syntactic Views

Daniel Jurafsky, Wayne H. Ward, James H. Martin, 2005, ACL.

A Database of Narrative Schemas

Nathanael Chambers, Daniel Jurafsky, Dan Jurafsky, 2010, LREC.

Classifying Temporal Relations Between Events

Shan Wang, Nathanael Chambers, Daniel Jurafsky, 2007, ACL.

Linguistics in a computational world

Daniel Jurafsky, D. Jurafsky, 1998 .

Towards a Literary Machine Translation: The Role of Referential Cohesion

Daniel Jurafsky, Rob Voigt, Dan Jurafsky, 2012, CLfL@NAACL-HLT.

Regularization, adaptation, and non-independent features improve hidden conditional random fields for phone classification

Daniel Jurafsky, Christopher D. Manning, Constantinos Boulis, 2007, 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU).

Towards a Computational History of the ACL: 1980-2008

Daniel Jurafsky, Daniel A. McFarland, Ashton Anderson, 2012, Discoveries@ACL.

Cheap and Fast – But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks

Brendan T. O'Connor, Daniel Jurafsky, Andrew Y. Ng, 2008, EMNLP.

The Best Lexical Metric for Phrase-Based Statistical MT System Optimization

Daniel Jurafsky, Christopher D. Manning, Daniel M. Cer, 2010, NAACL.

Querying Complex Networks in Vector Space pdf

Jure Leskovec, Marinka Zitnik, Daniel Jurafsky, 2018, ArXiv.

Limitations of MLLR adaptation with Spanish-accented English: an error analysis

Daniel Jurafsky, Constance Clarke, 2006, INTERSPEECH.

Deterministic Coreference Resolution Based on Entity-Centric, Precision-Ranked Rules

Heeyoung Lee, Yves Peirsman, Angel X. Chang, 2013, CL.

Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts pdf

Xiao Lin, Daniel Jurafsky, Ajay Divakaran, 2019, EMNLP/IJCNLP.

Which Words Are Hard to Recognize? Prosodic, Lexical, and Disfluency Factors that Increase ASR Error Rates

Daniel Jurafsky, Christopher D. Manning, Sharon Goldwater, 2008, ACL.

A Bayesian Model Predicts Human Parse Preference and Reading Times in Sentence Processing

Daniel Jurafsky, S. Narayanan, S. Narayanan, 2001, NIPS.

Detection of word fragments in Mandarin telephone conversation

Yuan Zhao, Daniel Jurafsky, Yun-Hsuan Sung, 2006, INTERSPEECH.

Learning multi-faceted representations of individuals from heterogeneous evidence using neural networks pdf

Daniel Jurafsky, Alan Ritter, Jiwei Li, 2015, ArXiv.

Shallow Semantc Parsing of Chinese

Daniel Jurafsky, Honglin Sun, 2004, HLT-NAACL.

Automatic Induction of Finite State Transducers for Simple Phonological Rules

Daniel Gildea, Daniel Jurafsky, Dan Jurafsky, 1995, ACL.

What kind of pronunciation variation is hard for triphones to model?

Xiuyang Yu, Daniel Jurafsky, Wayne H. Ward, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

The connection between smiling and GOAT fronting: Embodied affect in sociophonetic variation

Daniel Jurafsky, Rob Voigt, Patrick Callier, 2015, ICPhS.

Building DNN acoustic models for large vocabulary speech recognition

Daniel Jurafsky, Andrew Y. Ng, Peng Qi, 2014, Comput. Speech Lang..

Studying the History of Ideas Using Topic Models

Daniel Jurafsky, Christopher D. Manning, David Hall, 2008, EMNLP.

Measuring machine translation quality as semantic equivalence: A metric based on entailment features

Daniel Jurafsky, Christopher D. Manning, Daniel M. Cer, 2009, Machine Translation.

A Dialectal Chinese Speech Recognition Framework

William J. Byrne, Jing Li, Daniel Jurafsky, 2006, Journal of Computer Science and Technology.

Extracting Opinion Propositions and Opinion Holders using Syntactic and Lexical Cues

Hong Yu, Daniel Jurafsky, Vasileios Hatzivassiloglou, 2006, Computing Attitude and Affect in Text.

Generating Recommendation Dialogs by Extracting Information from User Reviews

Daniel Jurafsky, Kevin Reschke, Adam Vogel, 2013, ACL.

An introduction to natural language processing

Daniel Jurafsky, James H. Martin, J. H. Speech Martin, 2000 .

Stanford-UBC at TAC-KBP

Valentin I. Spitkovsky, Eneko Agirre, Eric Yeh, 2009, TAC.

Bootstrapping Dependency Grammar Inducers from Incomplete Sentence Fragments via Austere Models

Valentin I. Spitkovsky, Daniel Jurafsky, Hiyan Alshawi, 2012, ICGI.

Obituary: Charles J. Fillmore

Daniel Jurafsky, Dan Jurafsky, 2014, CL.

Writer Profiling Without the Writer's Text

Yulia Tsvetkov, Daniel Jurafsky, David Jurgens, 2017, SocInfo.

Shallow Semantic Parsing using Support Vector Machines

Daniel Jurafsky, Wayne H. Ward, James H. Martin, 2004, NAACL.

Loyalty in Online Communities

Jure Leskovec, Daniel Jurafsky, William L. Hamilton, 2017, ICWSM.

The Dialogic Turn and the Performance of Gender: the English Canon 1782-2011

Daniel Jurafsky, Grace Muzny, Mark Algee-Hewitt, 2016, DH.

A Simple, Fast Diverse Decoding Algorithm for Neural Generation pdf

Daniel Jurafsky, Jiwei Li, Will Monroe, 2016, ArXiv.

Which words are hard to recognize? Prosodic, lexical, and disfluency factors that increase speech recognition error rates

Daniel Jurafsky, Christopher D. Manning, Sharon Goldwater, 2010, Speech Commun..

Discriminative Reordering with Chinese Grammatical Relations Features

Daniel Jurafsky, Christopher D. Manning, Pi-Chuan Chang, 2009, SSST@HLT-NAACL.

Capitalization Cues Improve Dependency Grammar Induction

Valentin I. Spitkovsky, Daniel Jurafsky, Hiyan Alshawi, 2012, HLT-NAACL 2012.

Measuring Importance and Query Relevance in Topic-focused Multi-document Summarization

Ani Nenkova, Surabhi Gupta, Daniel Jurafsky, 2007, ACL.

Learning to Follow Navigational Directions

Daniel Jurafsky, Adam Vogel, Dan Jurafsky, 2010, ACL.

Semantic Taxonomy Induction from Heterogenous Evidence

Daniel Jurafsky, Andrew Y. Ng, Rion Snow, 2006, ACL.

Tradition and Modernity in 20th Century Chinese Poetry

Daniel Jurafsky, Rob Voigt, 2013, CLfL@NAACL-HLT.

An Information-Theoretic Explanation of Adjective Ordering Preferences

Daniel Jurafsky, Noah D. Goodman, Judith Degen, 2018, CogSci.

Detecting friendly, flirtatious, awkward, and assertive speech in speed-dates

Daniel Jurafsky, Daniel A. McFarland, Rajesh Ranganath, 2013, Comput. Speech Lang..

Ketchup, Interdisciplinarity, and the Spread of Innovation in Speech and Language Processing

Daniel Jurafsky, Dan Jurafsky, 2016, INTERSPEECH.

Jointly Combining Implicit Constraints Improves Temporal Ordering

Nathanael Chambers, Daniel Jurafsky, Dan Jurafsky, 2008, EMNLP.

Lexical, Prosodic, and Syntactic Cues for Dialog Acts

Daniel Jurafsky, Elizabeth Shriberg, Barbara A. Fox, 1998 .

Automatic detection of contrastive elements in spontaneous speech

Ani Nenkova, Daniel Jurafsky, 2007, 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU).

Have we met? MDP based speaker ID for robot dialogue

Daniel Jurafsky, Andrew Y. Ng, Filip Krsmanovic, 2006, INTERSPEECH.

Modelling prominence and emphasis improves unit-selection synthesis

Simon King, Ani Nenkova, Daniel Jurafsky, 2007, INTERSPEECH.

Dialogism in the novel: A computational model of the dialogic nature of narration and quotations

Daniel Jurafsky, Grace Muzny, Mark Algee-Hewitt, 2017, Digit. Scholarsh. Humanit..

Automatic Detection of Incoherent Speech for Diagnosing Schizophrenia

Daniel Jurafsky, Dan Iter, Jong Yoon, 2018, CLPsych@NAACL-HTL.

Machine Translation Evaluation with Textual Entailment Features

Daniel Jurafsky, Christopher D. Manning, Sebastian Padó, 2009, WMT@EACL.

Learning to Merge Word Senses

Daniel Jurafsky, Andrew Y. Ng, Rion Snow, 2007, EMNLP.

Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora

Jure Leskovec, Daniel Jurafsky, Kevin Clark, 2016, EMNLP.

Semantic Role Chunking Combining Complementary Syntactic Views

Daniel Jurafsky, Wayne H. Ward, James H. Martin, 2005, CoNLL.

Reduction of English function words in switchboard

William D. Raymond, Daniel Jurafsky, Alan Bell, 1998, ICSLP.

Learning to Decode for Future Success pdf

Daniel Jurafsky, Jiwei Li, Will Monroe, 2017, ArXiv.

Pitch accent prediction: effects of genre and speaker

Jiahong Yuan, Daniel Jurafsky, Jason M. Brenier, 2005, INTERSPEECH.

Building a Foundation System for Producing Short Answers to Factual Questions

Hong Yu, Daniel Jurafsky, Vasileios Hatzivassiloglou, 2002, TREC.

Speaker-independent detection of child-directed speech

Michael C. Frank, Daniel Jurafsky, Sebastian Schuster, 2014, 2014 IEEE Spoken Language Technology Workshop (SLT).

Regularization and Search for Minimum Error Rate Training

Daniel Jurafsky, Christopher D. Manning, Daniel M. Cer, 2008, WMT@ACL.

Learning the Central Events and Participants in Unlabeled Text

Nathanael Chambers, Daniel Jurafsky, 2012, ICML.

Learning Bias and Phonological-Rule Induction

Daniel Gildea, Daniel Jurafsky, Dan Jurafsky, 1996, CL.

Three Dependency-and-Boundary Models for Grammar Induction

Valentin I. Spitkovsky, Daniel Jurafsky, Hiyan Alshawi, 2012, EMNLP.

Textual Analogy Parsing: What’s Shared and What’s Compared among Analogous Facts

Daniel Jurafsky, Christopher D. Manning, Percy Liang, 2018, EMNLP.

How to Ask for a Favor: A Case Study on the Success of Altruistic Requests pdf

Daniel Jurafsky, Tim Althoff, Cristian Danescu-Niculescu-Mizil, 2014, ICWSM.

Hidden Conditional Random Fields for phone recognition

Daniel Jurafsky, Yun-Hsuan Sung, 2009, 2009 IEEE Workshop on Automatic Speech Recognition & Understanding.

Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change

Jure Leskovec, Daniel Jurafsky, William L. Hamilton, 2016, EMNLP.

Predicting Sales from the Language of Product Descriptions

Daniel Jurafsky, Reid Pryzant, Dan Jurafsky, 2017, eCOM@SIGIR.

Catherine Pelachaud, Norman I. Badler, and Mark Steedman

Risto Miikkulainen, Daniel Jurafsky, Peter C. M. Molenaar, 1996 .

Common Ground in Production 1 DRAFT : DO NOT CITE WITHOUT PERMISSION . Running head : COMMON GROUND IN PRODUCTION Common Ground in Production : Effects of Mutual Knowledge on Word Duration

Daniel Jurafsky, Alice F. Healy, Michelle L. Gregory, 2002 .

UNL based Document Summarization based on Level of Users

Daniel Jurafsky, James H. Martin, Hiroshi Uchida, 2013 .

The role of the lemma in form variation

Daniel Jurafsky, Alan Bell, Cynthia Girand, 2002 .