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More Civility and Positivity: Language Understanding in Social Context
Wednesday, February 9, 2022, 11:00 am-12:00 pm Calendar
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Abstract

Our recent research focuses on the social part of language, e.g., who says it, in what context, for what goals, towards promoting more civility and positivity in language use.  In this talk, we will take a closer look at social factors in language and its interplay with computational methods via two lines of work.  The first one studies hate speech and racial bias by introducing a benchmark corpus on implicit hate speech and models on detecting and explaining latent hatred in language.  We then look at positive reframing by neutralizing a negative point of view and generating a more positive perspective without contradicting the original meaning. 

Zoom link: https://umd.zoom.us/j/98806584197?pwd=SXBWOHE1cU9adFFKUmN2UVlwUEJXdz09

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Bio

Diyi Yang is an assistant professor in the School of Interactive Computing at Georgia Tech. Diyi has broad interests in NLP and Computational Social Science, including dialogue summarization, limited data learning,  hate speech and polarization,  as well as NLP for mental health. Her work has received multiple awards (or nominations) at EMNLP, ICWSM, SIGCHI, and CSCW. She is a Microsoft Research Faculty Fellow, a Forbes 30 under 30 in Science, an IEEE "AI 10 to Watch", a recipient of the Intel Rising Star Faculty Award and the Samsung AI Researcher of the Year in 2021.

This talk is organized by Wei Ai