Dallas Card

According to our database, Dallas Card authored at least 32 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An archival perspective on pretraining data.

Meera A. Desai, Irene V. Pasquetto, Abigail Z. Jacobs, Dallas Card

Patterns, 2024

Mapping the Podcast Ecosystem with the Structured Podcast Research Corpus.

Benjamin Litterer, David Jurgens, Dallas Card

CoRR, 2024

Framing Social Movements on Social Media: Unpacking Diagnostic, Prognostic, and Motivational Strategies.

Julia Mendelsohn, Maya Vijan, Dallas Card, Ceren Budak

CoRR, 2024

You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments.

Bangzhao Shu, Lechen Zhang, Minje Choi, Lavinia Dunagan, Lajanugen Logeswaran, Moontae Lee, Dallas Card, David Jurgens

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023

You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments.

Bangzhao Shu, Lechen Zhang, Minje Choi, Lavinia Dunagan, Dallas Card, David Jurgens

CoRR, 2023

When it Rains, it Pours: Modeling Media Storms and the News Ecosystem.

Benjamin Litterer, David Jurgens, Dallas Card

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Substitution-based Semantic Change Detection using Contextual Embeddings.

Dallas Card

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

The Values Encoded in Machine Learning Research.

Abeba Birhane, Pratyusha Kalluri, Dallas Card, William Agnew, Ravit Dotan, Michelle Bao

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection.

Suchin Gururangan, Dallas Card, Sarah K. Dreier, Emily K. Gade, Leroy Z. Wang, Zeyu Wang, Luke Zettlemoyer, Noah A. Smith

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words.

Kaitlyn Zhou, Kawin Ethayarajh, Dallas Card, Dan Jurafsky

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Modular Domain Adaptation.

Junshen K. Chen, Dallas Card, Dan Jurafsky

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

On the Opportunities and Risks of Foundation Models.

Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren E. Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.

CoRR, 2021

Causal Effects of Linguistic Properties.

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

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Expected Validation Performance and Estimation of a Random Variable's Maximum.

Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Accelerating Text-as-Data Research in Computational Social Science.

Dallas Card

PhD thesis, 2020

On Consequentialism and Fairness.

Dallas Card, Noah A. Smith

Frontiers Artif. Intell., 2020

DeSMOG: Detecting Stance in Media On Global Warming.

Yiwei Luo, Dallas Card, Dan Jurafsky

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

With Little Power Comes Great Responsibility.

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

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Explain like I am a Scientist: The Linguistic Barriers of Entry to r/science.

Tal August, Dallas Card, Gary Hsieh, Noah A. Smith, Katharina Reinecke

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019

Deep Weighted Averaging Classifiers.

Dallas Card, Michael Zhang, Noah A. Smith

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

Show Your Work: Improved Reporting of Experimental Results.

Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

The Risk of Racial Bias in Hate Speech Detection.

Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi, Noah A. Smith

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Variational Pretraining for Semi-supervised Text Classification.

Suchin Gururangan, Tam Dang, Dallas Card, Noah A. Smith

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

The Importance of Calibration for Estimating Proportions from Annotations.

Dallas Card, Noah A. Smith

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Neural Models for Documents with Metadata.

Dallas Card, Chenhao Tan, Noah A. Smith

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

A Neural Framework for Generalized Topic Models.

Dallas Card, Chenhao Tan, Noah A. Smith

CoRR, 2017

Friendships, Rivalries, and Trysts: Characterizing Relations between Ideas in Texts.

Chenhao Tan, Dallas Card, Noah A. Smith

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Analyzing Framing through the Casts of Characters in the News.

Dallas Card, Justin H. Gross, Amber E. Boydstun, Noah A. Smith

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015

Deep grey matter growth predicts neurodevelopmental outcomes in very preterm children.

Julia M. Young, Tamara L. Powell, Benjamin R. Morgan, Dallas Card, Wayne Lee, Mary Lou Smith, John G. Sled, Margot J. Taylor

NeuroImage, 2015

Cerebral maturation in the early preterm period - A magnetization transfer and diffusion tensor imaging study using voxel-based analysis.

Revital Nossin-Manor, Dallas Card, Charles Raybaud, Margot J. Taylor, John G. Sled

NeuroImage, 2015

The Media Frames Corpus: Annotations of Frames Across Issues.

Dallas Card, Amber E. Boydstun, Justin H. Gross, Philip Resnik, Noah A. Smith

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2013

Quantitative MRI in the very preterm brain: Assessing tissue organization and myelination using magnetization transfer, diffusion tensor and T₁ imaging.

Revital Nossin-Manor, Dallas Card, Drew Morris, Salma Noormohamed, Manohar M. Shroff, Hilary E. Whyte, Margot J. Taylor, John G. Sled

NeuroImage, 2013