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Mapping Natural Language Sentences to Semantic Graphs
Содержание
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  
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Control Number  
joongbu:552960
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