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Chinese Statistical Parser Based on Semantic Dependencies 被引量:1
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作者 李涓子 王作英 《Tsinghua Science and Technology》 SCIE EI CAS 2002年第6期591-595,共5页
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 b... 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. 展开更多
关键词 natural language understanding statistical parser dependency grammar
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