| Chinese Statistical Parser Based on Semantic Dependencies |
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| 作者姓名： | 李涓子 王作英 |
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| 作者单位： | LI Juanzi，WANG Zuoying Department of Computer Science and Technology，Tsinghua University，Beijing 100084，China; Department of Electronic Engineering，Tsinghua University，Beijing 100084，China |
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| 基金项目： | Supported by the National High- Technology DevelopmentProgram of China(No. 863 - 3 0 6- 2 D0 3 - 0 1- 2) |
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| 摘 要： | IntroductionMuch recent research on statistical parsers hasfocused on English.English has a large syntacticcorpus,the English UPenn Treebank.Everysentence in this corpus corresponds to a syntacticstructure1] .Many kinds of parsers for Englishhave been developed based on this corpus2 4 ] .Thestructure of the Chinese language is quite differentfrom English and there have been only a fewefforts to build syntactic corpora in recent years.Two syntactic corpora were just announced in2 0 0 0 ,t…
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Chinese Statistical Parser Based on Semantic Dependencies |
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| Abstract: | A new tagging method is presented to build a Chinese semantic corpus. The method characterizes the sentence meaning as a linear sequence of dependency relationships which are the semantic or syntactic relationships between words in the sentence. This representation method is used to build a Chinese statistical parser model to understand the sentence meaning. Specific experiments on automatic telephone switchboard conversations show that the proposed parser has a precision of 80%. This work provides a foundation for building a large-scale Chinese semantic corpus and for research on understanding modeling of the Chinese language. |
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| Keywords: | natural language understanding statistical parser dependency grammar |
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