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DTEND:20210115T120000Z
UID:8bfa3c0efcd823929cb4348b7b5722cf-113
DTSTAMP:19700101T120011Z
DESCRIPTION:Discourse-guided Approaches for Event Coreference Resolution
URL;VALUE=URI:https://www.csa.iisc.ac.in/newweb/event/113/discourse-guided-approaches-for-event-coreference-resolution/
SUMMARY:Event coreference resolution aims to determine and cluster event mentions that refer to the same real-world event. A typical event coreference resolution system relies on scoring similarity between event-arguments features of all event-pairs in a document followed by clustering. However, a text document follows the principle of language economy where most of the events are mentioned only once (singletons). Consequently, only certain key events that connect other peripheral events are repeated to organize the content and produce a coherent story. Additionally, events are barely mentioned together with all of their arguments which results in a sparse and scattered distribution of coreferential event mentions. In the talk, I will discuss some of my recent works that address sparsity in coreferential event distribution by developing a holistic approach based on the cues from the document content organization structures in news articles.
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Talk Meeting Link: &lt;br&gt;
&lt;a href=&quot;https://teams.microsoft.com/l/meetup-join/19%3ameeting_OWVjMWI2YTAtNGI1Yy00NGM3LTlhZTEtZWZiMjEzMTY1Mjlj%40thread.v2/0?context=%7b%22Tid%22%3a%226f15cd97-f6a7-41e3-b2c5-ad4193976476%22%2c%22Oid%22%3a%224bcd3d56-e405-4b06-99fb-27742262f261%22%7d&quot;&gt;https://teams.microsoft.com/l/meetup-join/19%3ameeting_OWVjMWI2YTAtNGI1Yy00NGM3LTlhZTEtZWZiMjEzMTY1Mjlj%40thread.v2/0?context=%7b%22Tid%22%3a%226f15cd97-f6a7-41e3-b2c5-ad4193976476%22%2c%22Oid%22%3a%224bcd3d56-e405-4b06-99fb-27742262f261%22%7d&lt;/a&gt;
DTSTART:20210115T120000Z
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