Su Lin Blodgett

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 40

Top Topics

African American

Natural Language

Top Venues

Publications

Yu Lu Liu, Su Lin Blodgett, Jackie Chi Kit Cheung, Q. Vera Liao, Alexandra Olteanu, Ziang Xiao
ECBD: Evidence-Centered Benchmark Design for NLP. CoRR (2024)
Li Lucy, Su Lin Blodgett, Milad Shokouhi, Hanna M. Wallach, Alexandra Olteanu
"One-Size-Fits-All"? Examining Expectations around What Constitute "Fair" or "Good" NLG System Behaviors. NAACL-HLT (2024)
Eve Fleisig, Su Lin Blodgett, Dan Klein, Zeerak Talat
The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels. CoRR (2024)
Jay Cunningham, Su Lin Blodgett, Michael Madaio, Hal Daumé III, Christina Harrington, Hanna M. Wallach
Understanding the Impacts of Language Technologies' Performance Disparities on African American Language Speakers. ACL (Findings) (2024)
Angelina Wang, Xuechunzi Bai, Solon Barocas, Su Lin Blodgett
Measuring machine learning harms from stereotypes: requires understanding who is being harmed by which errors in what ways. CoRR (2024)
Eve Fleisig, Su Lin Blodgett, Dan Klein, Zeerak Talat
The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels. NAACL-HLT (2024)
Arjun Subramonian, Xingdi Yuan, Hal Daumé III, Su Lin Blodgett
It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance. CoRR (2023)
Eve Fleisig, Aubrie Amstutz, Chad Atalla, Su Lin Blodgett, Hal Daumé III, Alexandra Olteanu, Emily Sheng, Dan Vann, Hanna M. Wallach
FairPrism: Evaluating Fairness-Related Harms in Text Generation. ACL (1) (2023)
Jared Katzman, Angelina Wang, Morgan Klaus Scheuerman, Su Lin Blodgett, Kristen Laird, Hanna M. Wallach, Solon Barocas
Taxonomizing and Measuring Representational Harms: A Look at Image Tagging. AAAI (2023)
Yu Lu Liu, Meng Cao, Su Lin Blodgett, Jackie Chi Kit Cheung, Alexandra Olteanu, Adam Trischler
Responsible AI Considerations in Text Summarization Research: A Review of Current Practices. CoRR (2023)
Seraphina Goldfarb-Tarrant, Eddie Ungless, Esma Balkir, Su Lin Blodgett
This prompt is measuring \textlessmask\textgreater: evaluating bias evaluation in language models. ACL (Findings) (2023)
Irene Solaiman, Zeerak Talat, William Agnew, Lama Ahmad, Dylan K. Baker, Su Lin Blodgett, Hal Daumé III, Jesse Dodge, Ellie Evans, Sara Hooker, Yacine Jernite, Alexandra Sasha Luccioni, Alberto Lusoli, Margaret Mitchell, Jessica Newman, Marie-Therese Png, Andrew Strait, Apostol Vassilev
Evaluating the Social Impact of Generative AI Systems in Systems and Society. CoRR (2023)
Arjun Subramonian, Xingdi Yuan, Hal Daumé III, Su Lin Blodgett
It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance. ACL (Findings) (2023)
Jared Katzman, Angelina Wang, Morgan Klaus Scheuerman, Su Lin Blodgett, Kristen Laird, Hanna M. Wallach, Solon Barocas
Taxonomizing and Measuring Representational Harms: A Look at Image Tagging. CoRR (2023)
Li Lucy, Su Lin Blodgett, Milad Shokouhi, Hanna M. Wallach, Alexandra Olteanu
"One-size-fits-all"? Observations and Expectations of NLG Systems Across Identity-Related Language Features. CoRR (2023)
Yu Lu Liu, Meng Cao, Su Lin Blodgett, Jackie Chi Kit Cheung, Alexandra Olteanu, Adam Trischler
Responsible AI Considerations in Text Summarization Research: A Review of Current Practices. EMNLP (Findings) (2023)
Samer B. Nashed, Justin Svegliato, Su Lin Blodgett
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities. CoRR (2023)
Seraphina Goldfarb-Tarrant, Eddie Ungless, Esma Balkir, Su Lin Blodgett
This Prompt is Measuring : Evaluating Bias Evaluation in Language Models. CoRR (2023)
Kaitlyn Zhou, Su Lin Blodgett, Adam Trischler, Hal Daumé III, Kaheer Suleman, Alexandra Olteanu
Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications. NAACL-HLT (2022)
Ankita Gupta, Su Lin Blodgett, Justin H. Gross, Brendan T. O'Connor
Examining Political Rhetoric with Epistemic Stance Detection. CoRR (2022)
Kaitlyn Zhou, Su Lin Blodgett, Adam Trischler, Hal Daumé III, Kaheer Suleman, Alexandra Olteanu
Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications. CoRR (2022)
David Liu, Priyanka Nanayakkara, Sarah Ariyan Sakha, Grace Abuhamad, Su Lin Blodgett, Nicholas Diakopoulos, Jessica R. Hullman, Tina Eliassi-Rad
Examining Responsibility and Deliberation in AI Impact Statements and Ethics Reviews. AIES (2022)
Su Lin Blodgett, Q. Vera Liao, Alexandra Olteanu, Rada Mihalcea, Michael J. Muller, Morgan Klaus Scheuerman, Chenhao Tan, Qian Yang
Responsible Language Technologies: Foreseeing and Mitigating Harms. CHI Extended Abstracts (2022)
Christian Hardmeier, Marta R. Costa-jussà, Kellie Webster, Will Radford, Su Lin Blodgett
How to Write a Bias Statement: Recommendations for Submissions to the Workshop on Gender Bias in NLP. CoRR (2021)
Michael Madaio, Su Lin Blodgett, Elijah Mayfield, Ezekiel Dixon-Román
Confronting Structural Inequities in AI for Education. CoRR (2021)
Anjalie Field, Su Lin Blodgett, Zeerak Waseem, Yulia Tsvetkov
A Survey of Race, Racism, and Anti-Racism in NLP. ACL/IJCNLP (1) (2021)
Anjalie Field, Su Lin Blodgett, Zeerak Waseem, Yulia Tsvetkov
A Survey of Race, Racism, and Anti-Racism in NLP. CoRR (2021)
Su Lin Blodgett, Michael Madaio
Risks of AI Foundation Models in Education. CoRR (2021)
Su Lin Blodgett, Gilsinia Lopez, Alexandra Olteanu, Robert Sim, Hanna M. Wallach
Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets. ACL/IJCNLP (1) (2021)
Abigail Z. Jacobs, Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna M. Wallach
The meaning and measurement of bias: lessons from natural language processing. FAT* (2020)
Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna M. Wallach
Language (Technology) is Power: A Critical Survey of "Bias" in NLP. ACL (2020)
Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna M. Wallach
Language (Technology) is Power: A Critical Survey of "Bias" in NLP. CoRR (2020)
Su Lin Blodgett, Johnny Wei, Brendan T. O'Connor
Twitter Universal Dependency Parsing for African-American and Mainstream American English. ACL (1) (2018)
Katherine A. Keith, Su Lin Blodgett, Brendan T. O'Connor
Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses. NAACL-HLT (2018)
Katherine A. Keith, Su Lin Blodgett, Brendan O'Connor
Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses. CoRR (2018)
Su Lin Blodgett, Johnny Wei, Brendan O'Connor
A Dataset and Classifier for Recognizing Social Media English. NUT@EMNLP (2017)
Su Lin Blodgett, Brendan O'Connor
Racial Disparity in Natural Language Processing: A Case Study of Social Media African-American English. CoRR (2017)
Su Lin Blodgett, Lisa Green, Brendan O'Connor
Demographic Dialectal Variation in Social Media: A Case Study of African-American English. CoRR (2016)
Abram Handler, Su Lin Blodgett, Brendan O'Connor
Visualizing textual models with in-text and word-as-pixel highlighting. CoRR (2016)
Su Lin Blodgett, Lisa Green, Brendan T. O'Connor
Demographic Dialectal Variation in Social Media: A Case Study of African-American English. EMNLP (2016)