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most citedSafeText: A Benchmark for Exploring Physical Safety in Language Models

3 citations · 6 across the 6 of their papers we have counts for

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cs.CL20232 cited

Beyond Denouncing Hate: Strategies for Countering Implied Biases and Stereotypes in Language

Jimin Mun, Emily Allaway, Akhila Yerukola +3

Counterspeech, i.e., responses to counteract potential harms of hateful speech, has become an increasingly popular solution to address online hate speech without censorship. Howeve…

cs.CL20237 cited

Towards Countering Essentialism through Social Bias Reasoning

Emily Allaway, Nina Taneja, Sarah-Jane Leslie +1

Essentialist beliefs (i.e., believing that members of the same group are fundamentally alike) play a central role in social stereotypes and can lead to harm when left unchallenged.…

cs.CL2022

Legal and Political Stance Detection of SCOTUS Language

Noah Bergam, Emily Allaway, Kathleen McKeown

We analyze publicly available US Supreme Court documents using automated stance detection. In the first phase of our work, we investigate the extent to which the Court's public-fac…

cs.CL20223 cited

SafeText: A Benchmark for Exploring Physical Safety in Language Models

Sharon Levy, Emily Allaway, Melanie Subbiah +4

Understanding what constitutes safe text is an important issue in natural language processing and can often prevent the deployment of models deemed harmful and unsafe. One such typ…

cs.CL2022

Seeded Hierarchical Clustering for Expert-Crafted Taxonomies

Anish Saha, Amith Ananthram, Emily Allaway +2

Practitioners from many disciplines (e.g., political science) use expert-crafted taxonomies to make sense of large, unlabeled corpora. In this work, we study Seeded Hierarchical Cl…

cs.CL20221 cited

Mapping the Multilingual Margins: Intersectional Biases of Sentiment Analysis Systems in English, Spanish, and Arabic

António Câmara, Nina Taneja, Tamjeed Azad +2

As natural language processing systems become more widespread, it is necessary to address fairness issues in their implementation and deployment to ensure that their negative impac…