| 面向核心依存分析的介词短语自动识别 |
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| 引用本文： | 郭丹丹,由丽萍.面向核心依存分析的介词短语自动识别[J].情报探索,2014(11):1-3. |
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| 作者姓名： | 郭丹丹 由丽萍 |
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| 作者单位： | 太原科技大学图书馆;山西大学经济与管理学院 |
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| 基金项目： | 教育部人文社会科学研究规划基金项目“面向精确语言理解的中文介词短语语义角色识别技术研究”（项目编号：12YJA740095）成果之一 |
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| 摘 要： | 面向核心依存分析,运用规则和统计相结合的方法,在指定谓词的前提下,识别该谓词所支配的介词短语。首先,根据介词和介词短语右边界的规律抽取搭配模板,从训练语料中自动提取搭配关系,并用这些搭配关系在一定的搭配策略下对介词短语进行识别。然后,用基于词性的边界选择模型和规则方法相结合的技术对其它介词短语进行识别。
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| 关 键 词： | 核心依存 介词短语 中文信息处理 |
Automatic Prepositional Phrases Identification for Kernel Dependency Analysis |
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| Institution: | Guo Dandan, You Liping ( 1. Taiyuan University of Science and Technology Library, Taiyuan Shanxi 030024 ; 2. School of Economies and Management, Shanxi University, Taiyuan Shanxi 030006 ) |
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| Abstract: | The paper constructs an algorithm for kernel dependency analysis by using combination of rules and statistics ,to automatically identify Chinese prepositional phrases dominated by specified predicate word. First, it automatically extracts lexical collocation from training data according to collocate regulation of prepositional phrases and its fight borders, then identifies prepositional phrases by lexical collocation, and finally, it identifies the other prepositional phrases by combining both speech-based selection model and rule-based methods. |
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| Keywords: | kernel dependency prepositional phrase Chinese information processing |
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