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Chinese Statistical Parser Based on Semantic Dependencies 被引量:1

Chinese Statistical Parser Based on Semantic Dependencies
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摘要 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. 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.
出处 《Tsinghua Science and Technology》 SCIE EI CAS 2002年第6期591-595,共5页 清华大学学报(自然科学版(英文版)
基金 Supported by the National High- Technology DevelopmentProgram of China(No. 863 - 3 0 6- 2 D0 3 - 0 1- 2)
关键词 natural language understanding statistical parser dependency grammar natural language understanding statistical parser dependency grammar
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参考文献5

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同被引文献17

  • 1李明琴,李涓子,王作英,陆大.中文语义依存关系分析的统计模型(英文)[J].计算机学报,2004,27(12):1679-1687. 被引量:9
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