Data for Good: Cong Yu, Google Research

Data Science Institute, Columbia University

Data for Good seminars address societal challenges and bring humanistic perspectives to science  and technology.

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<h3>Presented by: The Data, Media and Society Center at The Data Science Institute, Columbia University</h3>Guest Speaker: <a href="https://sites.google.com/site/congyu/home" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Cong Yu</a>, Manager, Senior Staff Research Scientist, Structured Data Group, Google Research<a href="https://history.columbia.edu/person/connelly-matthew/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer"></a>Talk Title: Better News Understanding via Language LearningAbstract: The news ecosystem is going through unprecedented changes and has never been more important in shaping our societies and supporting freedom and democracy. In this talk, I will briefly describe how our research group is working towards better technologies for understanding news and mitigating misinformation to help address some of those challenges.Bio: Cong Yu is a research scientist and manager at Google Research in New York. He leads the research group on news and misinformation understanding. The group’s mission is to apply state-of-the-art NLP/ML and structured data technologies to understand newsy and fresh multi-modal information and to mitigate the spread of misinformation. Partnering with journalists and policy advisors, the group is responsible for products such as <a href="http://www.vldb.org/pvldb/vol11/p2140-cafarella.pdf" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">WebTables</a>, <a href="https://ai.googleblog.com/2014/09/introducing-structured-snippets-now.html" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Structured Snippets</a>, <a href="https://blog.google/products/search/fact-check-now-available-google-search-and-news-around-world/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Fact Checking at Google</a>, and contributes to a variety of consumer-facing Google products such as <a href="https://blog.google/products/news/new-google-news-ai-meets-human-intelligence/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">GNews</a> and <a href="https://blog.google/products/search/smarter-organization-top-stories-search/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Top Stories in Search</a>.His personal research interests are structured data exploration and mining, computational journalism, social content analysis and recommendation, human-scalable information management, and applied ML and NLP. He was a conference keynote speaker for VLDB 2019 and twice served as an industrial program co-chair for VLDB (2013 and 2018). Before Google, Cong was a Research Scientist at Yahoo! Research, also in New York. He has a PhD from the University of Michigan, Ann Arbor, advised by Prof. H.V. Jagadish.

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Data for Good: Cong Yu, Google Research

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