Research talk: Search, summarization, and sensemaking

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Published on ● Video Link: https://www.youtube.com/watch?v=Q4JB-xb9wAM



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Speaker: Marti Hearst, Professor, UC Berkeley

Natural language processing (NLP) has undergone head-spinning advances over the last 5–10 years. At the same time, user interfaces for search have remained somewhat static. Has NLP advanced enough to more actively aid searchers in the sensemaking process? In this talk, Professor Marti Hearst of UC Berkeley summarizes some recent work by her lab, some in collaboration with Microsoft Research, on integration of summarization and question answering into news chat interfaces. She will also discuss other recent developments of integrating NLP into scholarly document search and discuss how this might lead to more powerful support for making sense of information within and across search results.

Learn more about the 2021 Microsoft Research Summit: https://Aka.ms/researchsummit




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Tags:
Search & information retrieval
Microsoft Search
Productivity
search
recommendation
future of search
microsoft research summit