Dan Jurafsky

Causal Effects of Linguistic Properties

Reid Pryzant, Dallas Card, Dan Jurafsky, Victor Veitch, Dhanya Sridhar

Comments To appear at NAACL 2021 (Annual Conference of the North American Chapter of the Association for Computational Linguistics)

Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions

Dorottya Demszky, Jing Liu, Zid Mancenido, Julie Cohen, Heather Hill, Dan Jurafsky, Tatsunori Hashimoto

Comments ACL 2021

Attention Flows are Shapley Value Explanations

Kawin Ethayarajh, Dan Jurafsky

Comments ACL 2021

Sensitivity as a Complexity Measure for Sequence Classification Tasks

Michael Hahn, Dan Jurafsky, Richard Futrell

Comments Accepted by TACL. This is a pre-MIT Press publication version

Frequency-based Distortions in Contextualized Word Embeddings

Kaitlyn Zhou, Kawin Ethayarajh, Dan Jurafsky

Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation

Yasuhide Miura, Yuhao Zhang, Emily Bao Tsai, Curtis P. Langlotz, Dan Jurafsky

Comments Accepted to NAACL-HLT 2021

Utility is in the Eye of the User: A Critique of NLP Leaderboards

Kawin Ethayarajh, Dan Jurafsky

Comments EMNLP 2020 (updated with additional references)

Detecting Stance in Media on Global Warming

Yiwei Luo, Dallas Card, Dan Jurafsky

Comments 9 pages, 6 figures

Journal ref Findings of ACL: EMNLP 2020

Language Through a Prism: A Spectral Approach for Multiscale Language Representations

Alex Tamkin, Dan Jurafsky, Noah Goodman

Comments NeurIPS 2020

Learning Music Helps You Read: Using Transfer to Study Linguistic Structure in Language Models

Isabel Papadimitriou, Dan Jurafsky

Comments EMNLP 2020

With Little Power Comes Great Responsibility

Dallas Card, Peter Henderson, Urvashi Khandelwal, Robin Jia, Kyle Mahowald, Dan Jurafsky

Comments To appear at EMNLP 2020

A Framework for the Computational Linguistic Analysis of Dehumanization

Julia Mendelsohn, Yulia Tsvetkov, Dan Jurafsky

Comments 31 pages, 6 figures (Appendix is 4 pages, 4 figures). Submitted to Frontiers in Artificial Intelligence (Language and Computation)

Journal ref Frontiers in Artificial Intelligence 3 (2020):55

The Role of Verb Semantics in Hungarian Verb-Object Order

Dorottya Demszky, László Kálmán, Dan Jurafsky, Beth Levin

Comments Work in progress

Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models

Dan Iter, Kelvin Guu, Larry Lansing, Dan Jurafsky

Comments AC2020

Social Bias Frames: Reasoning about Social and Power Implications of Language

Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, Yejin Choi

Comments ACL 2020 Camera Ready; Data available at http://tinyurl.com/social-bias-frames

Generalization through Memorization: Nearest Neighbor Language Models

Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis

Comments ICLR 2020

Automatically Neutralizing Subjective Bias in Text

Reid Pryzant, Richard Diehl Martinez, Nathan Dass, Sadao Kurohashi, Dan Jurafsky, Diyi Yang

Comments To appear at AAAI 2020

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

Julia Kruk, Jonah Lubin, Karan Sikka, Xiao Lin, Dan Jurafsky, Ajay Divakaran

Comments Accepted at EMNLP'2019; Added dataset link

Embedding Logical Queries on Knowledge Graphs

William L. Hamilton, Payal Bajaj, Marinka Zitnik, Dan Jurafsky, Jure Leskovec

Comments Published in NeurIPS 2018

Sample Efficient Text Summarization Using a Single Pre-Trained Transformer

Urvashi Khandelwal, Kevin Clark, Dan Jurafsky, Lukasz Kaiser

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

Dorottya Demszky, Nikhil Garg, Rob Voigt, James Zou, Matthew Gentzkow, Jesse Shapiro, Dan Jurafsky

Comments NAACL 2019; code and data available at https://github.com/ddemszky/framing-twitter

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

Anjalie Field, Doron Kliger, Shuly Wintner, Jennifer Pan, Dan Jurafsky, Yulia Tsvetkov

Comments Accepted as a full paper at EMNLP 2018

Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change

William L. Hamilton, Jure Leskovec, Dan Jurafsky

Comments Association for Computational Linguistics (ACL), 2016. Minor corrections; improved methodology for Section 3

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

Matthew Lamm, Arun Tejasvi Chaganty, Christopher D. Manning, Dan Jurafsky, Percy Liang

Comments 12 pages including appendix and references. To be presented at EMNLP 2018

Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes

Nikhil Garg, Londa Schiebinger, Dan Jurafsky, James Zou

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

Urvashi Khandelwal, He He, Peng Qi, Dan Jurafsky

Comments ACL 2018

Community Interaction and Conflict on the Web

Srijan Kumar, William L. Hamilton, Jure Leskovec, Dan Jurafsky

Comments In WWW 2018: The Web Conference. Project website with data and code is https://snap.stanford.edu/conflict/

JESC: Japanese-English Subtitle Corpus

Reid Pryzant, Yongjoo Chung, Dan Jurafsky, Denny Britz

Comments To appear at LREC 2018. Project website updated

Adversarial Learning for Neural Dialogue Generation

Jiwei Li, Will Monroe, Tianlin Shi, Sébastien Jean, Alan Ritter, Dan Jurafsky

Neural Net Models for Open-Domain Discourse Coherence

Jiwei Li, Dan Jurafsky