Dallas Card

Orcid: 0000-0001-5573-8836

According to our database1, Dallas Card authored at least 28 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments.
CoRR, 2023

When it Rains, it Pours: Modeling Media Storms and the News Ecosystem.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Substitution-based Semantic Change Detection using Contextual Embeddings.
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.
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.
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.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Modular Domain Adaptation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
On the Opportunities and Risks of Foundation Models.
CoRR, 2021

Causal Effects of Linguistic Properties.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Accelerating Text-as-Data Research in Computational Social Science.
PhD thesis, 2020

On Consequentialism and Fairness.
Frontiers Artif. Intell., 2020

DeSMOG: Detecting Stance in Media On Global Warming.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

With Little Power Comes Great Responsibility.
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.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019
Deep Weighted Averaging Classifiers.
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

Show Your Work: Improved Reporting of Experimental Results.
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.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Variational Pretraining for Semi-supervised Text Classification.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
The Importance of Calibration for Estimating Proportions from Annotations.
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.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
A Neural Framework for Generalized Topic Models.
CoRR, 2017

Friendships, Rivalries, and Trysts: Characterizing Relations between Ideas in Texts.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Analyzing Framing through the Casts of Characters in the News.
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.
NeuroImage, 2015

Cerebral maturation in the early preterm period - A magnetization transfer and diffusion tensor imaging study using voxel-based analysis.
NeuroImage, 2015

The Media Frames Corpus: Annotations of Frames Across Issues.
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 T<sub>1</sub> imaging.
NeuroImage, 2013


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