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Beyond Facts: The Problem of Framing in Assessing What is True

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  • UserPhilip Resnik (University of Maryland)
  • ClockFriday 04 June 2021, 14:00-15:00
  • HouseVirtual (Zoom).

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Significant progress has been made recently in using NLP techniques to identify facts and the relationships between them. In this talk, I will argue that in formulating problems related to the assessment of truth, it is important to take into account the human process of interpretation. This potentially motivates a shift in thinking about fact extraction, from a problem that is fundamentally about engineering and addressed by NLP and machine learning, to a richer combination of engineering and scientific inquiry that overlaps more significantly with questions in the social and cognitive sciences.

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Meeting ID: 948 1965 1895 Passcode: 909702

About the speaker:

Philip Resnik is Professor at University of Maryland in the Department of Linguistics and Institute for Advanced Computer Studies. His recent research has focused on computational social science, with an emphasis on connecting the signal available in people’s language use with underlying mental state (with applications in computational political science, particularly in connection with ideology and framing, and in mental health, focusing on the ways that linguistic behavior may help to identify and monitor depression, suicidality, and schizophrenia) and on computational psycholinguistics and neurolinguistics, investigating the role of context in interpretation. Outside his academic research, Resnik has been a technical co-founder of CodeRyte (NLP for electronic health records, acquired by 3M in 2012), and is an advisor to FiscalNote (machine learning and analytics for government relations), SoloSegment (web site search and content optimization), and Converseon (social strategy and analytics).

This talk is part of the NLIP Seminar Series series.

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