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9월 9일 정기 수요세미나 (온라인) 안내
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2020.09.04
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컴퓨터과학과 홈페이지 관리자
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제목: Learning to Understand Language in Context

강사: Prof. Eunsol Choi (UT Austin)

날짜: 2020년 9월 9일 (수요일) 오전 9시

URL: https://yonsei.zoom.us/j/5253312674


Abstract:

Many applications of natural language processing need to understand text from the rich context in which it occurs and present information in a new context. Interpreting the rich context of a sentence, either conversation history, social context, or preceding contents in the document, is challenging yet crucial to understand the sentence. In the first part of the talk, we study the context-reduction process by defining the problem of sentence decontextualization: taking a sentence together with its context and rewriting it to be interpretable out of context, while preserving its meaning. Typically a sentence taken out of a context is unintelligible, but decontextualization recovers key pieces of information and make sentences stand alone. We demonstrate the utility of this process, as a preprocessing for open domain question answering and for generating an informative and concise answer to an information seeking query. In the later half of the talk, we focus on building models to integrate rich context to interpret single utterances more accurately. We study the challenges of interpreting rich context in question answering, by first integrating conversational history and by integrating entity information. Together, these works show how modeling interaction between text and the rich context in which it occurs can improve performances of NLP systems.


Bio:

Eunsol Choi is an assistant professor in the computer science department at the University of Texas at Austin. Her research focuses on natural language processing, various ways to recover semantics from unstructured text. Recently, her research focused on question answering and entity analysis. Prior to UT, she was a Ph.D student at the University of Washington, where she was advised by Luke Zettlemoyer and Yejin Choi. She received an undergraduate degree in mathematics and computer science at Cornell University.