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Dan Jurafsky
Number of Papers:- 127
Number of Citations:- 2946
First ACL Paper:- 1988
Latest ACL Paper:- 2020
Venues:-
EMNLP
TACL
SIGDIAL
WS
LREC
IWCS
ACL
CLPsych
SSST
EACL
CL
IJCNLP
SIGHAN
LILT
HLT
NAACL
WMT
Findings
CoNLL
COLING
LaTeCH
Co-Authors:-
Adam Vogel
Ajay Divakaran
Alan Ritter
Alex Tamkin
Andreas Stolcke
Similar Authors:-
Richard G Morgan
Vanja De Lint
Ineke Van De Craats
Mark H Smith
Antoine Tremblay
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1988
Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models
ACL
Dan Iter |
Kelvin Guu |
Larry Lansing |
Dan Jurafsky |
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
ACL
Dan Jurafsky |
Joyce Chai |
Natalie Schluter |
Joel Tetreault |
Social Bias Frames: Reasoning about Social and Power Implications of Language
ACL
Maarten Sap |
Saadia Gabriel |
Lianhui Qin |
Dan Jurafsky |
Noah A. Smith |
Yejin Choi |
Learning Music Helps You Read: Using Transfer to Study Linguistic Structure in Language Models
EMNLP
Isabel Papadimitriou |
Dan Jurafsky |
DeSMOG: Detecting Stance in Media On Global Warming
EMNLP
Findings
Yiwei Luo |
Dallas Card |
Dan Jurafsky |
With Little Power Comes Great Responsibility
EMNLP
Dallas Card |
Peter Henderson |
Urvashi Khandelwal |
Robin Jia |
Kyle Mahowald |
Dan Jurafsky |
Utility is in the Eye of the User: A Critique of NLP Leaderboards
EMNLP
Kawin Ethayarajh |
Dan Jurafsky |
Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts
EMNLP
Julia Kruk |
Jonah Lubin |
Karan Sikka |
Xiao Lin |
Dan Jurafsky |
Ajay Divakaran |
Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings
NAACL
Dorottya Demszky |
Nikhil Garg |
Rob Voigt |
James Zou |
Jesse Shapiro |
Matthew Gentzkow |
Dan Jurafsky |
Let’s Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms
NAACL
Diyi Yang |
Jiaao Chen |
Zichao Yang |
Dan Jurafsky |
Eduard Hovy |
Recursive Routing Networks: Learning to Compose Modules for Language Understanding
NAACL
Ignacio Cases |
Clemens Rosenbaum |
Matthew Riemer |
Atticus Geiger |
Tim Klinger |
Alex Tamkin |
Olivia Li |
Sandhini Agarwal |
Joshua D. Greene |
Dan Jurafsky |
Christopher Potts |
Lauri Karttunen |
Neural Text Style Transfer via Denoising and Reranking
NAACL
WS
Joseph Lee |
Ziang Xie |
Cindy Wang |
Max Drach |
Dan Jurafsky |
Andrew Ng |
From Insanely Jealous to Insanely Delicious: Computational Models for the Semantic Bleaching of English Intensifiers
ACL
WS
Yiwei Luo |
Dan Jurafsky |
Beth Levin |
Textual Analogy Parsing: What’s Shared and What’s Compared among Analogous Facts
EMNLP
Matthew Lamm |
Arun Chaganty |
Christopher D. Manning |
Dan Jurafsky |
Percy Liang |
Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies
EMNLP
Anjalie Field |
Doron Kliger |
Shuly Wintner |
Jennifer Pan |
Dan Jurafsky |
Yulia Tsvetkov |
JESC: Japanese-English Subtitle Corpus
LREC
Reid Pryzant |
Youngjoo Chung |
Dan Jurafsky |
Denny Britz |
RtGender: A Corpus for Studying Differential Responses to Gender
LREC
Rob Voigt |
David Jurgens |
Vinodkumar Prabhakaran |
Dan Jurafsky |
Yulia Tsvetkov |
Noising and Denoising Natural Language: Diverse Backtranslation for Grammar Correction
NAACL
Ziang Xie |
Guillaume Genthial |
Stanley Xie |
Andrew Ng |
Dan Jurafsky |
Deconfounded Lexicon Induction for Interpretable Social Science
NAACL
Reid Pryzant |
Kelly Shen |
Dan Jurafsky |
Stefan Wagner |
Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context
ACL
Urvashi Khandelwal |
He He |
Peng Qi |
Dan Jurafsky |
Measuring the Evolution of a Scientific Field through Citation Frames
TACL
David Jurgens |
Srijan Kumar |
Raine Hoover |
Dan McFarland |
Dan Jurafsky |
Detecting Institutional Dialog Acts in Police Traffic Stops
TACL
Vinodkumar Prabhakaran |
Camilla Griffiths |
Hang Su |
Prateek Verma |
Nelson Morgan |
Jennifer L. Eberhardt |
Dan Jurafsky |
Automatic Detection of Incoherent Speech for Diagnosing Schizophrenia
CLPsych
NAACL
WS
Dan Iter |
Jong Yoon |
Dan Jurafsky |
Neural Net Models of Open-domain Discourse Coherence
EMNLP
Jiwei Li |
Dan Jurafsky |
Adversarial Learning for Neural Dialogue Generation
EMNLP
Jiwei Li |
Will Monroe |
Tianlin Shi |
Sébastien Jean |
Alan Ritter |
Dan Jurafsky |
A Two-stage Sieve Approach for Quote Attribution
EACL
Grace Muzny |
Michael Fang |
Angel Chang |
Dan Jurafsky |
Incorporating Dialectal Variability for Socially Equitable Language Identification
ACL
David Jurgens |
Yulia Tsvetkov |
Dan Jurafsky |
Distinguishing Past, On-going, and Future Events: The EventStatus Corpus
EMNLP
Ruihong Huang |
Ignacio Cases |
Dan Jurafsky |
Cleo Condoravdi |
Ellen Riloff |
Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora
EMNLP
William L. Hamilton |
Kevin Clark |
Jure Leskovec |
Dan Jurafsky |
Deep Reinforcement Learning for Dialogue Generation
EMNLP
Jiwei Li |
Will Monroe |
Alan Ritter |
Dan Jurafsky |
Michel Galley |
Jianfeng Gao |
Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change
EMNLP
William L. Hamilton |
Jure Leskovec |
Dan Jurafsky |
Visualizing and Understanding Neural Models in NLP
NAACL
Jiwei Li |
Xinlei Chen |
Eduard Hovy |
Dan Jurafsky |
Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing
ACL
Vinodkumar Prabhakaran |
William L. Hamilton |
Dan McFarland |
Dan Jurafsky |
Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change
ACL
William L. Hamilton |
Jure Leskovec |
Dan Jurafsky |
Do Multi-Sense Embeddings Improve Natural Language Understanding?
EMNLP
Jiwei Li |
Dan Jurafsky |
When Are Tree Structures Necessary for Deep Learning of Representations?
EMNLP
Jiwei Li |
Thang Luong |
Dan Jurafsky |
Eduard Hovy |
Lexicon-Free Conversational Speech Recognition with Neural Networks
NAACL
Andrew Maas |
Ziang Xie |
Dan Jurafsky |
Andrew Ng |
A Hierarchical Neural Autoencoder for Paragraphs and Documents
ACL
IJCNLP
Jiwei Li |
Thang Luong |
Dan Jurafsky |
The Users Who Say ‘Ni’: Audience Identification in Chinese-language Restaurant Reviews
ACL
IJCNLP
Rob Voigt |
Dan Jurafsky |
A computational analysis of poetic style: Imagism and its influence on modern professional and amateur poetry
LILT
Justine T. Kao |
Dan Jurafsky |
Obituary: Charles J. Fillmore
CL
Dan Jurafsky |
On the Importance of Text Analysis for Stock Price Prediction
LREC
Heeyoung Lee |
Mihai Surdeanu |
Bill MacCartney |
Dan Jurafsky |
Event Extraction Using Distant Supervision
LREC
Kevin Reschke |
Martin Jankowiak |
Mihai Surdeanu |
Christopher Manning |
Daniel Jurafsky |
Breaking Out of Local Optima with Count Transforms and Model Recombination: A Study in Grammar Induction
EMNLP
Valentin I. Spitkovsky |
Hiyan Alshawi |
Daniel Jurafsky |
Deterministic Coreference Resolution Based on Entity-Centric, Precision-Ranked Rules
CL
Heeyoung Lee |
Angel Chang |
Yves Peirsman |
Nathanael Chambers |
Mihai Surdeanu |
Dan Jurafsky |
Same Referent, Different Words: Unsupervised Mining of Opaque Coreferent Mentions
NAACL
Marta Recasens |
Matthew Can |
Daniel Jurafsky |
Emergence of Gricean Maxims from Multi-Agent Decision Theory
NAACL
Adam Vogel |
Max Bodoia |
Christopher Potts |
Daniel Jurafsky |
A computational approach to politeness with application to social factors
ACL
Cristian Danescu-Niculescu-Mizil |
Moritz Sudhof |
Dan Jurafsky |
Jure Leskovec |
Christopher Potts |
Linguistic Models for Analyzing and Detecting Biased Language
ACL
Marta Recasens |
Cristian Danescu-Niculescu-Mizil |
Dan Jurafsky |
Implicatures and Nested Beliefs in Approximate Decentralized-POMDPs
ACL
Adam Vogel |
Christopher Potts |
Dan Jurafsky |
Generating Recommendation Dialogs by Extracting Information from User Reviews
ACL
Kevin Reschke |
Adam Vogel |
Dan Jurafsky |
Tradition and Modernity in 20th Century Chinese Poetry
WS
Rob Voigt |
Dan Jurafsky |
Positive Diversity Tuning for Machine Translation System Combination
WMT
WS
Daniel Cer |
Christopher D. Manning |
Dan Jurafsky |
Joint Entity and Event Coreference Resolution across Documents
CoNLL
EMNLP
Heeyoung Lee |
Marta Recasens |
Angel Chang |
Mihai Surdeanu |
Dan Jurafsky |
Three Dependency-and-Boundary Models for Grammar Induction
CoNLL
EMNLP
Valentin I. Spitkovsky |
Hiyan Alshawi |
Daniel Jurafsky |
Parsing Time: Learning to Interpret Time Expressions
NAACL
Gabor Angeli |
Christopher Manning |
Daniel Jurafsky |
Capitalization Cues Improve Dependency Grammar Induction
NAACL
WS
Valentin I. Spitkovsky |
Hiyan Alshawi |
Daniel Jurafsky |
A Computational Analysis of Style, Affect, and Imagery in Contemporary Poetry
NAACL
WS
Justine Kao |
Dan Jurafsky |
Towards a Literary Machine Translation: The Role of Referential Cohesion
NAACL
WS
Rob Voigt |
Dan Jurafsky |
Towards a Computational History of the ACL: 1980-2008
ACL
WS
Ashton Anderson |
Dan Jurafsky |
Daniel A. McFarland |
He Said, She Said: Gender in the ACL Anthology
ACL
WS
Adam Vogel |
Dan Jurafsky |
Lateen EM: Unsupervised Training with Multiple Objectives, Applied to Dependency Grammar Induction
EMNLP
Valentin I. Spitkovsky |
Hiyan Alshawi |
Daniel Jurafsky |
Unsupervised Dependency Parsing without Gold Part-of-Speech Tags
EMNLP
Valentin I. Spitkovsky |
Hiyan Alshawi |
Angel X. Chang |
Daniel Jurafsky |
Template-Based Information Extraction without the Templates
ACL
Nathanael Chambers |
Dan Jurafsky |
Using Query Patterns to Learn the Duration of Events
IWCS
WS
Andrey Gusev |
Nathanael Chambers |
Divye Raj Khilnani |
Pranav Khaitan |
Steven Bethard |
Dan Jurafsky |
Punctuation: Making a Point in Unsupervised Dependency Parsing
CoNLL
WS
Valentin I. Spitkovsky |
Hiyan Alshawi |
Daniel Jurafsky |
A Study of Academic Collaborations in Computational Linguistics using a Latent Mixture of Authors Model
LaTeCH
WS
Nikhil Johri |
Daniel Ramage |
Daniel McFarland |
Daniel Jurafsky |
Stanford’s Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task
CoNLL
WS
Heeyoung Lee |
Yves Peirsman |
Angel Chang |
Nathanael Chambers |
Mihai Surdeanu |
Dan Jurafsky |
Coling 2010: Posters
COLING
Chu-Ren Huang |
Dan Jurafsky |
A Multi-Pass Sieve for Coreference Resolution
EMNLP
Karthik Raghunathan |
Heeyoung Lee |
Sudarshan Rangarajan |
Nathanael Chambers |
Mihai Surdeanu |
Dan Jurafsky |
Christopher Manning |
A Database of Narrative Schemas
LREC
Nathanael Chambers |
Dan Jurafsky |
Parsing to Stanford Dependencies: Trade-offs between Speed and Accuracy
LREC
Daniel Cer |
Marie-Catherine de Marneffe |
Dan Jurafsky |
Chris Manning |
The Best Lexical Metric for Phrase-Based Statistical MT System Optimization
NAACL
Daniel Cer |
Christopher D. Manning |
Daniel Jurafsky |
From Baby Steps to Leapfrog: How “Less is More” in Unsupervised Dependency Parsing
NAACL
Valentin I. Spitkovsky |
Hiyan Alshawi |
Daniel Jurafsky |
Phrasal: A Statistical Machine Translation Toolkit for Exploring New Model Features
NAACL
Daniel Cer |
Michel Galley |
Daniel Jurafsky |
Christopher D. Manning |
Improving the Use of Pseudo-Words for Evaluating Selectional Preferences
ACL
Nathanael Chambers |
Daniel Jurafsky |
Learning to Follow Navigational Directions
ACL
Adam Vogel |
Daniel Jurafsky |
Profiting from Mark-Up: Hyper-Text Annotations for Guided Parsing
ACL
Valentin I. Spitkovsky |
Daniel Jurafsky |
Hiyan Alshawi |
Viterbi Training Improves Unsupervised Dependency Parsing
CoNLL
WS
Valentin I. Spitkovsky |
Hiyan Alshawi |
Daniel Jurafsky |
Christopher D. Manning |
Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010)
COLING
Chu-Ren Huang |
Dan Jurafsky |
It’s Not You, it’s Me: Detecting Flirting and its Misperception in Speed-Dates
EMNLP
Rajesh Ranganath |
Dan Jurafsky |
Dan McFarland |
Extracting Social Meaning: Identifying Interactional Style in Spoken Conversation
NAACL
Dan Jurafsky |
Rajesh Ranganath |
Dan McFarland |
Robust Machine Translation Evaluation with Entailment Features
ACL
IJCNLP
Sebastian Padó |
Michel Galley |
Dan Jurafsky |
Christopher D. Manning |
Unsupervised Learning of Narrative Schemas and their Participants
ACL
IJCNLP
Nathanael Chambers |
Dan Jurafsky |
Distant supervision for relation extraction without labeled data
ACL
IJCNLP
Mike Mintz |
Steven Bills |
Rion Snow |
Daniel Jurafsky |
Machine Translation Evaluation with Textual Entailment Features
WMT
WS
Sebastian Padó |
Michel Galley |
Daniel Jurafsky |
Christopher D. Manning |
Disambiguating “DE” for Chinese-English Machine Translation
WMT
WS
Pi-Chuan Chang |
Daniel Jurafsky |
Christopher D. Manning |
Discriminative Reordering with Chinese Grammatical Relations Features
SSST
WS
Pi-Chuan Chang |
Huihsin Tseng |
Dan Jurafsky |
Christopher D. Manning |
Cheap and Fast – But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks
EMNLP
Rion Snow |
Brendan O’Connor |
Daniel Jurafsky |
Andrew Ng |
Studying the History of Ideas Using Topic Models
EMNLP
David Hall |
Daniel Jurafsky |
Christopher D. Manning |
Jointly Combining Implicit Constraints Improves Temporal Ordering
EMNLP
Nathanael Chambers |
Daniel Jurafsky |
Which Words Are Hard to Recognize? Prosodic, Lexical, and Disfluency Factors that Increase ASR Error Rates
ACL
Sharon Goldwater |
Dan Jurafsky |
Christopher D. Manning |
Unsupervised Learning of Narrative Event Chains
ACL
Nathanael Chambers |
Dan Jurafsky |
Regularization and Search for Minimum Error Rate Training
WMT
WS
Daniel Cer |
Dan Jurafsky |
Christopher D. Manning |
Learning to Merge Word Senses
CoNLL
EMNLP
Rion Snow |
Sushant Prakash |
Daniel Jurafsky |
Andrew Y. Ng |
To Memorize or to Predict: Prominence labeling in Conversational Speech
NAACL
Ani Nenkova |
Jason Brenier |
Anubha Kothari |
Sasha Calhoun |
Laura Whitton |
David Beaver |
Dan Jurafsky |
Disambiguating Between Generic and Referential “You” in Dialog
ACL
Surabhi Gupta |
Matthew Purver |
Dan Jurafsky |
Classifying Temporal Relations Between Events
ACL
Nathanael Chambers |
Shan Wang |
Dan Jurafsky |
Measuring Importance and Query Relevance in Topic-focused Multi-document Summarization
ACL
Surabhi Gupta |
Ani Nenkova |
Dan Jurafsky |
Resolving “You” in Multi-Party Dialog
SIGDIAL
Surabhi Gupta |
John Niekrasz |
Matthew Purver |
Dan Jurafsky |
Semantic Taxonomy Induction from Heterogenous Evidence
ACL
COLING
Rion Snow |
Daniel Jurafsky |
Andrew Y. Ng |
Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
EMNLP
WS
Dan Jurafsky |
Eric Gaussier |
Morphological features help POS tagging of unknown words across language varieties
IJCNLP
SIGHAN
Huihsin Tseng |
Daniel Jurafsky |
Christopher Manning |
A Conditional Random Field Word Segmenter for Sighan Bakeoff 2005
IJCNLP
SIGHAN
Huihsin Tseng |
Pichuan Chang |
Galen Andrew |
Daniel Jurafsky |
Christopher Manning |
Semantic Role Labeling Using Different Syntactic Views
ACL
Sameer Pradhan |
Wayne Ward |
Kadri Hacioglu |
James Martin |
Daniel Jurafsky |
Semantic Role Chunking Combining Complementary Syntactic Views
CoNLL
WS
Sameer Pradhan |
Kadri Hacioglu |
Wayne Ward |
James H. Martin |
Daniel Jurafsky |
Shallow Semantic Parsing using Support Vector Machines
HLT
NAACL
Sameer S. Pradhan |
Wayne H. Ward |
Kadri Hacioglu |
James H. Martin |
Dan Jurafsky |
Shallow Semantc Parsing of Chinese
HLT
NAACL
Honglin Sun |
Daniel Jurafsky |
Parsing Arguments of Nominalizations in English and Chinese
HLT
NAACL
Sameer Pradhan |
Honglin Sun |
Wayne Ward |
James H. Martin |
Daniel Jurafsky |
Automatic Tagging of Arabic Text: From Raw Text to Base Phrase Chunks
HLT
NAACL
Mona Diab |
Kadri Hacioglu |
Daniel Jurafsky |
Semantic Role Labeling by Tagging Syntactic Chunks
CoNLL
WS
Kadri Hacioglu |
Sameer Pradhan |
Wayne Ward |
James H. Martin |
Daniel Jurafsky |
The Effect of Rhythm on Structural Disambiguation in Chinese
SIGHAN
WS
Honglin Sun |
Dan Jurafsky |
Automatic Labeling of Semantic Roles
CL
Daniel Gildea |
Daniel Jurafsky |
Knowledge-Free Induction of Inflectional Morphologies
NAACL
Patrick Schone |
Daniel Jurafsky |
Is Knowledge-Free Induction of Multiword Unit Dictionary Headwords a Solved Problem?
EMNLP
WS
Patrick Schone |
Daniel Jurafsky |
Dialogue act modeling for automatic tagging and recognition of conversational speech
CL
Andreas Stolcke |
Klaus Ries |
Noah Coccaro |
Elizabeth Shriberg |
Rebecca Bates |
Daniel Jurafsky |
Paul Taylor |
Rachel Martin |
Carol Van Ess-Dykema |
Marie Meteer |
Automatic Labeling of Semantic Roles
ACL
Daniel Gildea |
Daniel Jurafsky |
Knowledge-Free Induction of Morphology Using Latent Semantic Analysis
CoNLL
WS
Patrick Schone |
Daniel Jurafsky |
Verb Subcategorization Frequency Differences between Business- News and Balanced Corpora: The Role of Verb Sense
WS
Douglas Roland |
Daniel Jurafsky |
Lise Menn |
Susanne Gahl |
Elezabeth Elder |
Chris Riddoch |
How Verb Subcategorization Frequencies Are Affected By Corpus Choice
COLING
Douglas Roland |
Daniel Jurafsky |
How Verb Subcategorization Frequencies are Affected by Corpus Choice
ACL
COLING
Douglas Roland |
Daniel Jurafsky |
Lexical, Prosodic, and Syntactic Cues for Dialog Acts
WS
Daniel Jurafsky |
Elizabeth Shriberg |
Barbara Fox |
Traci Curl |
Learning Bias and Phonological-Rule Induction
CL
Daniel Gildea |
Daniel Jurafsky |
Learning Phonological Rule Probabilities from Speech Corpora with Exploratory Computational Phonology
ACL
Gary Tajchman |
Daniel Jurafsky |
Eric Fosler |
Automatic Induction of Finite State Transducers for Simple Phonological Rules
ACL
Daniel Gildea |
Daniel Jurafsky |
Representing and Integrating Linguistic Knowledge
COLING
Daniel Jurafsky |
Issues in Relating Syntax and Semantics
COLING
Daniel JURAFSKY |
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