基于描述逻辑的汉语问题块语义标注模型

Qian Zhu, X. Cheng
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引用次数: 3

摘要

针对汉语问题无法为句法分析提供深层语义信息的问题,提出了一种基于描述逻辑的汉语问题块语义标注模型。利用HNC概念符号的知识获取词的语义信息,从概念范畴的内涵入手,初步分析具体疑问句的逻辑结构。最后,利用描述逻辑推理机制,得到问题语义视图,并对其有效性进行了实际验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Semantic Tagging Model of Chinese Question Chunk Based on Description Logic
To solve the problem of Chinese question cannot provide deep semantic information for syntactic analysis, the paper proposes a semantic tagging model of Chinese question chunk based on description logics. With the knowledge of HNC’s concept symbols to get semantic information about the words, and by starting with the connotation of the concept categories, it preliminarily analyzes the logic structure of specific question sentences. Finally, with description logics reasoning mechanism, we get question semantic view and practical verify the validity of it.
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