자료유형 | 학위논문 |
---|---|
서명/저자사항 | Selecting and Generating Computational Meaning Representations for Short Texts. |
개인저자 | Finegan-Dollak, Catherine. |
단체저자명 | University of Michigan. Computer Science and Engineering. |
발행사항 | [S.l.]: University of Michigan., 2018. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
형태사항 | 190 p. |
기본자료 저록 | Dissertation Abstracts International 79-12B(E). Dissertation Abstract International |
ISBN | 9780438126749 |
학위논문주기 | Thesis (Ph.D.)--University of Michigan, 2018. |
일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Advisers: Walter Lasecki |
요약 | Language conveys meaning, so natural language processing (NLP) requires representations of meaning. This work addresses two broad questions: (1) What meaning representation should we use? and (2) How can we transform text to our chosen meaning r |
일반주제명 | Computer science. |
언어 | 영어 |
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: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |