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LARC Research Seminar

Automatic Fact Verification with Semi-Structured Knowledge

Prof William Wang

Assistant Professor, Department of Computer Science, University of California, Santa Barbara

Our society is struggling with an unprecedented amount of falsehood, hyperbole, and half-truths. Politicians and organizations repeatedly make false claims that jeopardize the integrity of journalism. Disinformation now floods the cyberspace and influences many events on and offline. To fight false information, the need for automatic fact verification has never been so urgent. Existing studies primarily focus on free-form text as evidence crawled from Wikipedia or News websites. The direction of using semi-structured knowledge as evidence like relational tables has yet to be explored systematically. In this talk, we will mainly focus on introducing a new benchmark dataset called TabFact, which allows us to systematically study the fact verification problem under semi-structured tables as evidence. Additionally, I will briefly introduce UCSB's NLP Group, and other exciting recent research projects in our group.
Seminar Details

Friday, November 1, 2019
10:00 am - 11:00 am

Seminar Room B1-1 (Basement)
School of Information Systems, Singapore Management University, 80 Stamford Road, Singapore, 178902, Singapore

We look forward to seeing you at this research seminar.

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National Research Foundation

This research is supported by the National Research Foundation, Prime Minister's Office, Singapore under its International Research Centres in Singapore Funding Initiative.

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