| 2025 | ACL | Meaning Variation and Data Quality in the Corpus of Founding Era American English. | Dallas Card |
| 2025 | ACL | Coordinating Chaos: A Structured Review of Linguistic Coordination Methodologies. | Benjamin Roger Litterer, David Jurgens, Dallas Card |
| 2025 | ACL | Mapping the Podcast Ecosystem with the Structured Podcast Research Corpus. | Benjamin Roger Litterer, David Jurgens, Dallas Card |
| 2024 | NAACL | 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 |
| 2023 | ACL | Substitution-based Semantic Change Detection using Contextual Embeddings. | Dallas Card |
| 2023 | EMNLP | When it Rains, it Pours: Modeling Media Storms and the News Ecosystem. | Benjamin Litterer, David Jurgens, Dallas Card |
| 2022 | ACL | Modular Domain Adaptation. | Junshen K. Chen, Dallas Card, Dan Jurafsky |
| 2022 | ACL | Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words. | Kaitlyn Zhou, Kawin Ethayarajh, Dallas Card, Dan Jurafsky |
| 2022 | EMNLP | 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 |
| 2021 | EMNLP | Expected Validation Performance and Estimation of a Random Variable's Maximum. | Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith |
| 2021 | NAACL | Causal Effects of Linguistic Properties. | Reid Pryzant, Dallas Card, Dan Jurafsky, Victor Veitch, Dhanya Sridhar |
| 2020 | CHI | 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 |
| 2020 | EMNLP | With Little Power Comes Great Responsibility. | Dallas Card, Peter Henderson, Urvashi Khandelwal, Robin Jia, Kyle Mahowald, Dan Jurafsky |
| 2020 | EMNLP | DeSMOG: Detecting Stance in Media On Global Warming. | Yiwei Luo, Dallas Card, Dan Jurafsky |
| 2019 | ACL | Variational Pretraining for Semi-supervised Text Classification. | Suchin Gururangan, Tam Dang, Dallas Card, Noah A. Smith |
| 2019 | ACL | The Risk of Racial Bias in Hate Speech Detection. | Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi, Noah A. Smith |
| 2019 | EMNLP | Show Your Work: Improved Reporting of Experimental Results. | Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith |
| 2018 | ACL | Neural Models for Documents with Metadata. | Dallas Card, Chenhao Tan, Noah A. Smith |
| 2018 | NAACL | The Importance of Calibration for Estimating Proportions from Annotations. | Dallas Card, Noah A. Smith |
| 2017 | ACL | Friendships, Rivalries, and Trysts: Characterizing Relations between Ideas in Texts. | Chenhao Tan, Dallas Card, Noah A. Smith |
| 2016 | EMNLP | Analyzing Framing through the Casts of Characters in the News. | Dallas Card, Justin H. Gross, Amber E. Boydstun, Noah A. Smith |
| 2015 | ACL | The Media Frames Corpus: Annotations of Frames Across Issues. | Dallas Card, Amber E. Boydstun, Justin H. Gross, Philip Resnik, Noah A. Smith |