Papers by David Beaver
Counterfactual Probing for the Influence of Affect and Specificity on Intergroup Bias (2023.findings-acl)
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| Challenge: | Existing work on bias in NLP only considers negative or pejorative language use. |
| Approach: | They propose a revised framing of bias in terms of intergroup social context and its effects on language output. |
| Outcome: | The proposed framework is based on a model of intergroup relationships in English language tweets. |
Do *they* mean ‘us’? Interpreting Referring Expression variation under Intergroup Bias (2024.findings-emnlp)
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| Challenge: | We model intergroup bias as a tagging task on English sports comments from forums dedicated to fandom for NFL teams . linguistic descriptions of win probability are used for large-scale analysis of intergroup variation . |
| Approach: | They propose to model intergroup bias as a tagging task on NFL fan comments . they use linguistic models to model the bias and use them to generate large-scale annotations . |
| Outcome: | The proposed model can reveal unobserved variations in the form of referents across win probabilities. |