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  • NL Seminar-Event Extraction and Reasoning in Multimedia News Data

    Thu, Dec 02, 2021 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars

    Speaker: Manling Li, Univ of Illinois at Urbana-Champaign

    Talk Title: Event Extraction and Reasoning in Multimedia News Data

    Abstract: Reminder: Meeting hosts only admit guests that they know to the Zoom meeting. Hence, you're highly encouraged to use your USC account to sign into Zoom.

    If you are an outside visitor, please inform us at nlg DASH seminar DASH host AT isi DOT edu beforehand so we'll be aware of your attendance and let you in.Event understanding is an essential ability for humans to acquire information. With the rise of multimedia, automated event understanding and narration require machines to not only obtain the local structures of events from multimedia data i.e., who, what, where, and when), but also performs global understanding and inference i.e., what is likely to happen, and why. However, current event understanding is text-only, local, and lacks reasoning. Real events that are multimedia, interconnected, and probabilistic. This talk will present Multimedia Event Extraction to extract events and their arguments from multimedia data, and use event knowledge to enhance multimedia pretraining models. Based on the extracted knowledge, I will introduce how to induce event schemas (knowledge of complex event patterns) by learning a temporal graph model. After that, I will talk about how to use event knowledge to support real applications, such as timeline summarization.

    Biography: Manling Li is a fourth year Ph.D. student at the Computer Science Department of University of Illinois Urbana Champaign. Manling has won the Best Demo Paper Award at ACL 20, the Best Demo Paper Award at NAACL 21, C.L. Dave and Jane W.S. Liu Award, and has been selected as Mavis Future Faculty Fellow. She is a recipient of the Microsoft Research PhD Fellowship. She has more than 30 publications on knowledge extraction and reasoning from multimedia data.

    Host: Jon May and Thamme Gowda

    More Info: https://nlg.isi.edu/nl-seminar/

    Webcast: https://youtu.be/MLITKOKIHY0

    Location: Information Science Institute (ISI) - Virtual Only

    WebCast Link: https://youtu.be/MLITKOKIHY0

    Audiences: Everyone Is Invited

    Contact: Pete Zamar

    Event Link: https://nlg.isi.edu/nl-seminar/


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