Research talk: Search, summarization, and sensemaking
171
Microsoft Research329 тыс
Следующее
25.01.22 – 1712:08Популярные
212 дней – 1 5161:07:34
Опубликовано 25 января 2022, 1:37
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: Aka.ms/researchsummit
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: Aka.ms/researchsummit
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