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Mapping Natural Language Sentences to Semantic Graphs
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Peng, Xiaochang. |
| 단체저자명 | University of Rochester. Engineering and Applied Sciences. |
| 서명/저자사항 | Mapping Natural Language Sentences to Semantic Graphs. |
| 발행사항 | [S.l.] : University of Rochester., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 136 p. |
| 소장본 주기 | School code: 0188. |
| ISBN | 9780438380646 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B.
Adviser: Daniel Gildea. |
| 요약 | In recent years, there has been growing interest in graph representations of semantics as a deeper understanding of natural language is increasingly important for user applications such as information extraction, question answering and dialogue |
| 요약 | More specifically, we present different modeling frameworks that take as input a sentence, and produce a semantic graph representation encoding meaning of the sentence as the output. First, we present a neural sequence-to-sequence model for sema |
| 일반주제명 | Computer science. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International80-02B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14998534 |
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인쇄
| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00024107 | DP 004 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출불가(별치) |
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