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Mapping Natural Language Sentences to Semantic Graphs
Mapping Natural Language Sentences to Semantic Graphs
- 자료유형
- 학위논문
- Control Number
- 0014998534
- International Standard Book Number
- 9780438380646
- Dewey Decimal Classification Number
- 004
- Main Entry-Personal Name
- Peng, Xiaochang.
- Publication, Distribution, etc. (Imprint
- [Sl] : University of Rochester, 2018
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2018
- Physical Description
- 136 p
- General Note
- Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B.
- General Note
- Adviser: Daniel Gildea.
- Dissertation Note
- Thesis (Ph.D.)--University of Rochester, 2018.
- Summary, Etc.
- 요약In 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
- Summary, Etc.
- 요약More 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
- Subject Added Entry-Topical Term
- Computer science
- Added Entry-Corporate Name
- University of Rochester Engineering and Applied Sciences
- Host Item Entry
- Dissertation Abstracts International. 80-02B(E).
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:552960
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