基本信息
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职业迁徙
个人简介
Research Interests
MindNet: automated acquisition of semantic knowledge
Summarization, focusing on summary generation and evaluation
Background
Lucy's research focuses on text understanding. She is deeply involved with developing MindNet, a method for automatically acquiring semantic information. All types of semantic information can be identified in and extracted from text. Dictionaries can provide the semantic information, for example, that a sheep is an animal; encyclopedias provide specific knowledge, for example, that Armstrong landed on the moon. Specialized data sets provide information on a given topic, for example, that Microsoft Research was founded in 1991. Common sense information can also be extracted from web-scale resources. Such information can be extracted in a variety of ways, from rule-based to completely unsupervised. Currently, Lucy's focus is to work with applications that demonstrate how the information in a knowledge resource such as MindNet can be used to improve human understanding and productivity.
Lucy holds a Ph.D. in Computational Linguistics from Georgetown University, in Washington D.C. Lucy worked at IBM Bethesda on natural language processing from 1988 - 1990. In 1991, she was a Visiting Scientist at the Institute for Systems Science in Singapore. Lucy has worked at Microsoft Research since 1992.
研究兴趣
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meeting of the association for computational linguisticspp.934-945, (2018)
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semanticscholar(2016)
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RepEval@ACLpp.24-29, (2016)
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