NLPExplorer

Dan Jurafsky

Number of Papers:- 120

Number of Citations:- 2946

First ACL Paper:- 1988

Latest ACL Paper:- 2020

Venues:-

SSST

LaTeCH

SIGHAN

CLPsych

TACL

EMNLP

WMT

HLT

IJCNLP

NAACL

IWCS

LREC

COLING

CoNLL

EACL

ACL

Co-Authors:-

Similar Authors:-

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

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

Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings NAACL

Let’s Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms NAACL

Recursive Routing Networks: Learning to Compose Modules for Language Understanding NAACL

Neural Text Style Transfer via Denoising and Reranking NAACL WS

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

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

JESC: Japanese-English Subtitle Corpus LREC

Reid Pryzant | Youngjoo Chung | Dan Jurafsky | Denny Britz |

RtGender: A Corpus for Studying Differential Responses to Gender LREC

Noising and Denoising Natural Language: Diverse Backtranslation for Grammar Correction NAACL

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

Detecting Institutional Dialog Acts in Police Traffic Stops TACL

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

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

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

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 |

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

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

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

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

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

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

Coling 2010: Posters COLING

Chu-Ren Huang | Dan Jurafsky |

A Multi-Pass Sieve for Coreference Resolution EMNLP

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 |

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

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 |

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

Semantic Role Labeling Using Different Syntactic Views ACL

Semantic Role Chunking Combining Complementary Syntactic Views CoNLL WS

Shallow Semantic Parsing using Support Vector Machines HLT NAACL

Shallow Semantc Parsing of Chinese HLT NAACL

Honglin Sun | Daniel Jurafsky |

Parsing Arguments of Nominalizations in English and Chinese HLT NAACL

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

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

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

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 |