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Title: Exploiting Vocabulary, Morphological, and Subtree Knowledge to Improve Chinese Syntactic Analysis
Other Titles: 語彙的、形態的、および部分木知識を用いた中国語構文解析の精度向上
Authors: Shen, Mo
Author's alias: 沈, 默
Keywords: Natural language processing
Chinese language processing
Dependency parsing
Word segmentation
Corpus building
Issue Date: 23-Mar-2016
Publisher: 京都大学 (Kyoto University)
Description: In reference to IEEE copyrighted material which is used with permission in this thesis, the IEEE does not endorse any of Kyoto University's products or services. Internal or personal use of this material is permitted. If interested in reprinting/republishing IEEE copyrighted material for advertising or promotional purposes or for creating new collective works for resale or redistribution, please go to to learn how to obtain a License from RightsLink.
Conferring University: Kyoto University (京都大学)
Degree Level: 新制・課程博士
Degree Discipline: 博士(情報学)
Degree Report no.: 甲第19848号
Degree no.: 情博第599号
Degree Call no.: 新制||情||104(附属図書館)
Degree Serial no.: 32884
Degree Affiliation: 京都大学大学院情報学研究科知能情報学専攻
Examination Committee members: (主査)准教授 河原 大輔, 教授 黒橋 禎夫, 教授 鹿島 久嗣
Provisions of the Ruling of Degree: 学位規則第4条第1項該当
DOI: 10.14989/doctor.k19848
Appears in Collections:Doctoral Dissertation (Informatics)

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