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)

The Media Frames Corpus: Annotations of Frames Across Issues. - Dallas Card; Amber E. Boydstun; Justin H. Gross; Philip Resnik; Noah A. Smith (ACL (2), 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)

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)

Analyzing Framing through the Casts of Characters in the News. - Dallas Card; Justin H. Gross; Amber E. Boydstun; Noah A. Smith (EMNLP, 2016)

Friendships, Rivalries, and Trysts: Characterizing Relations between Ideas in Texts. - Chenhao Tan; Dallas Card; Noah A. Smith (ACL (1), 2017)

A Neural Framework for Generalized Topic Models. - Dallas Card; Chenhao Tan; Noah A. Smith (CoRR, 2017)

Neural Models for Documents with Metadata. - Dallas Card; Chenhao Tan; Noah A. Smith (ACL (1), 2018)

The Importance of Calibration for Estimating Proportions from Annotations. - Dallas Card; Noah A. Smith (NAACL-HLT, 2018)

Variational Pretraining for Semi-supervised Text Classification. - Suchin Gururangan; Tam Dang; Dallas Card; Noah A. Smith (ACL (1), 2019)

The Risk of Racial Bias in Hate Speech Detection. - Maarten Sap; Dallas Card; Saadia Gabriel; Yejin Choi 001; Noah A. Smith (ACL (1), 2019)

Show Your Work: Improved Reporting of Experimental Results. - Jesse Dodge; Suchin Gururangan; Dallas Card; Roy Schwartz 001; Noah A. Smith (EMNLP/IJCNLP (1), 2019)

Deep Weighted Averaging Classifiers. - Dallas Card; Michael Zhang; Noah A. Smith (FAT, 2019)

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 (CHI, 2020)

With Little Power Comes Great Responsibility. - Dallas Card; Peter Henderson 002; Urvashi Khandelwal; Robin Jia; Kyle Mahowald; Dan Jurafsky (EMNLP (1), 2020)

DeSMOG: Detecting Stance in Media On Global Warming. - Yiwei Luo; Dallas Card; Dan Jurafsky (EMNLP (Findings), 2020)

On Consequentialism and Fairness. - Dallas Card; Noah A. Smith (Frontiers Artif. Intell., 2020)

Accelerating Text-as-Data Research in Computational Social Science. - Dallas Card (2020)

Expected Validation Performance and Estimation of a Random Variable's Maximum. - Jesse Dodge; Suchin Gururangan; Dallas Card; Roy Schwartz 001; Noah A. Smith (EMNLP (Findings), 2021)

Causal Effects of Linguistic Properties. - Reid Pryzant; Dallas Card; Dan Jurafsky; Victor Veitch; Dhanya Sridhar (NAACL-HLT, 2021)

On the Opportunities and Risks of Foundation Models. - Rishi Bommasani; Drew A. Hudson; Ehsan Adeli 001; Russ B. Altman; Simran Arora; Sydney von Arx; Michael S. Bernstein; Jeannette Bohg; Antoine Bosselut; Emma Brunskill; Erik Brynjolfsson; Shyamal Buch; et al. (CoRR, 2021)

Modular Domain Adaptation. - Junshen K. Chen; Dallas Card; Dan Jurafsky (ACL (Findings), 2022)

Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words. - Kaitlyn Zhou; Kawin Ethayarajh; Dallas Card; Dan Jurafsky (ACL (2), 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 (EMNLP, 2022)

The Values Encoded in Machine Learning Research. - Abeba Birhane; Pratyusha Kalluri; Dallas Card; William Agnew; Ravit Dotan; Michelle Bao (FAccT, 2022)

Substitution-based Semantic Change Detection using Contextual Embeddings. - Dallas Card (ACL (2), 2023)

When it Rains, it Pours: Modeling Media Storms and the News Ecosystem. - Benjamin Litterer; David Jurgens; Dallas Card (EMNLP (Findings), 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)

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 (NAACL-HLT, 2024)

Framing Social Movements on Social Media: Unpacking Diagnostic, Prognostic, and Motivational Strategies. - Julia Mendelsohn; Maya Vijan; Dallas Card; Ceren Budak (CoRR, 2024)

An archival perspective on pretraining data. - Meera A. Desai; Irene V. Pasquetto; Abigail Z. Jacobs; Dallas Card (Patterns, 2024)

Coordinating Chaos: A Structured Review of Linguistic Coordination Methodologies. - Benjamin Roger Litterer; David Jurgens; Dallas Card (ACL (1), 2025)

Mapping the Podcast Ecosystem with the Structured Podcast Research Corpus. - Benjamin Roger Litterer; David Jurgens; Dallas Card (ACL (1), 2025)

TIDEs: A Transgender and Nonbinary Community-Labeled Dataset and Model for Transphobia Identification in Digital Environments. - Francesca Lameiro; Lavinia Dunagan; Dallas Card; Eric Gilbert; Oliver L. Haimson (FAccT, 2025)