activity
20162026
most citedRacial Disparity in Natural Language Processing: A Case Study of Social Media African-American English

51 citations · 121 across the 32 of their papers we have counts for

collaborators
Showing 2023 · cs.CLShow all

5 papers · 2 filters

cs.CL2023★ 1 cited

Responsible AI Considerations in Text Summarization Research: A Review of Current Practices

Yu Lu Liu, Meng Cao, Su Lin Blodgett +3

AI and NLP publication venues have increasingly encouraged researchers to reflect on possible ethical considerations, adverse impacts, and other responsible AI issues their work mi…

cs.CL2023★ 2 cited

"One-Size-Fits-All"? Examining Expectations around What Constitute "Fair" or "Good" NLG System Behaviors

Li Lucy, Su Lin Blodgett, Milad Shokouhi +2

Fairness-related assumptions about what constitute appropriate NLG system behaviors range from invariance, where systems are expected to behave identically for social groups, to ad…

cs.CL2023★ 2 cited

This Prompt is Measuring <MASK>: Evaluating Bias Evaluation in Language Models

Seraphina Goldfarb-Tarrant, Eddie Ungless, Esma Balkir +1

Bias research in NLP seeks to analyse models for social biases, thus helping NLP practitioners uncover, measure, and mitigate social harms. We analyse the body of work that uses pr…

cs.CL2023

It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance

Arjun Subramonian, Xingdi Yuan, Hal Daumé +1

Progress in NLP is increasingly measured through benchmarks; hence, contextualizing progress requires understanding when and why practitioners may disagree about the validity of be…

cs.CL2023★ 1 cited

Examining Political Rhetoric with Epistemic Stance Detection

Ankita Gupta, Su Lin Blodgett, Justin H Gross +1

Participants in political discourse employ rhetorical strategies -- such as hedging, attributions, or denials -- to display varying degrees of belief commitments to claims proposed…