publications

2021

Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets. Su Lin Blodgett, Gilsinia Lopez, Alexandra Olteanu, Robert Sim, and Hanna Wallach. Annual Meeting of the Association for Computational Linguistics (ACL). [paper] [slides]

A Survey of Race, Racism, and Anti-Racism in NLP. Anjalie Field, Su Lin Blodgett, Zeerak Waseem, and Yulia Tsvetkov. Annual Meeting of the Association for Computational Linguistics (ACL). [paper]

2020

PhD Thesis: Sociolinguistically Driven Approaches for Just Natural Language Processing. Su Lin Blodgett. [thesis]

Language (Technology) is Power: A Critical Survey of “Bias” in NLP. Su Lin Blodgett, Solon Barocas, Hal Daumé III, and Hanna Wallach. Annual Meeting of the Association for Computational Linguistics (ACL). [paper] [slides]

2018

Twitter Universal Dependency Parsing for African-American and Mainstream American English. Su Lin Blodgett, Johnny Tian-Zheng Wei, and Brendan O’Connor. Annual Meeting of the Association for Computational Linguistics (ACL). [paper] [data]

Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses. Katherine Keith, Su Lin Blodgett, and Brendan O’Connor. Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL). [paper]

2017

A Dataset and Classifier for Recognizing Social Media English. Su Lin Blodgett, Johnny Tian-Zheng Wei, and Brendan O’Connor. 3rd Workshop on Noisy User-Generated Text (W-NUT). W-NUT Best Paper Award. [paper] [data]

Racial Disparity in Natural Language Processing: A Case Study of Social Media African-American English. Su Lin Blodgett and Brendan O’Connor. Fairness, Accountability, and Transparency in Machine Learning (FAT/ML) Workshop. [paper] [data]

2016

Demographic Dialectal Variation in Social Media: A Case Study of African-American English. Su Lin Blodgett, Lisa Green, and Brendan O’Connor. Conference on Empirical Methods in Natural Language Processing (EMNLP). [paper] [data]

Visualizing Textual Models with In-Text and Word-as-Pixel Highlighting. Abram Handler, Su Lin Blodgett, and Brendan O’Connor. Proceedings of the Workshop on Human Interpretability in Machine Learning (WHI). [paper]