| 汉语语义依存分析 |
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| 引用本文： | 郭江,车万翔,刘挺.汉语语义依存分析[J].智能计算机与应用,2011(2):58-62. |
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| 作者姓名： | 郭江 车万翔 刘挺 |
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| 作者单位： | 哈尔滨工业大学计算机科学与技术学院,哈尔滨150001 |
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| 基金项目： | 自然科学基金（60803093和60975055）;哈尔滨工业大学科研创新基金资助（HILNSRIF2009069）和中央高校基本科研业务费专项资金资助（H1TLOF2010064）. |
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| 摘 要： | 语义依存分析建立在依存理论基础上，是一种深层的语义分析理论。同时融合了句子的依存结构和语义信息，更好地表达了句子的结构与隐含信息。在许多高层次的研究和应用上，语义依存分析都大有用武之地。语义依存分析主要面临两方面的难题，一是语义体系的确定，其次是自动语义依存分析算法。将重点从语义体系的确定以及自动语义依存分析算法的角度上对语义依存分析进行系统的介绍。
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| 关 键 词： | 依存理论 语义依存分析 Eisner算法 Online算法 数据稀疏 |
Chinese Semantic Dependency Parsing |
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| GUO Jiang,CHE Wanxiang,LIU Ting.Chinese Semantic Dependency Parsing[J].INTELLIGENT COMPUTER AND APPLICATIONS,2011(2):58-62. |
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| Authors: | GUO Jiang CHE Wanxiang LIU Ting |
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| Affiliation: | (School of Computer Science ＆ Technology, Harbin Institute of Technology, Harbin, 150001, China) |
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| Abstract: | Semantic Dependency Parsing （SDP） is a deep semantic analysis theory, integrates dependency structure and semantic information in the sentence, based on dependency grammar, which can present the implicit semantic information of a full sentence. Semantic information is extremely valuable for many applications, such as Information Retrieval, Question Answering and Machine Translation, etc. Semantic Dependetlcy Parsing mainly faces two problems, one of which is the semantic scheme problem, and the other is algorithm for automatic semantic dependency parsing. The paper focuses on such two points as the determination of semantic system and automatic semantic dependency parsing algorithm for the systematic introduction on semantic dependency parsing. |
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| Keywords: | Dependency Theory Semantic Dependency Parsing Eisner Algorithm Online Algorithm Data Sparseness |
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