| Semantic Computation in a Chinese Question-Answering System |
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| 作者姓名： | 李素建 张健 黄雄 白硕 刘群 |
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| 作者单位： | LI Sujian ZHANG Jian HUANG Xiong BAI Shuoand LIU Qun 1 Institute of Computational Linguistics，Peking University，Beijing 100871，P.R. China2Software Department，Institute of Computing Technology，The Chinese Academy of SciencesBeijing 100080，P.R. China |
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| 基金项目： | This work is supported by the NKBRSP of China (Grant Nos.G1998030510, G1998030507-4). |
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| 摘 要： | This paper introduces a kind of semantic computation and presents how to combine it into our Chinese Question-Answering (QA) system. Based on two kinds of language resources, Hownet and Cilin, we present an approach to computing the similarity and relevancy between words. Using these results, we can calculate the relevancy between two sentences and then get the optimal answer for the query in the system. The calculation adopts quantitative methods and can be incorporated into QA systems easily, avoiding some difficulties in conventional NLP (Natural Language Processing) problems. The experiments show that the results are satisfactory.
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| 关 键 词： | 汉英对话系统 因特网 How－Net 信息处理 |
Semantic computation in a Chinese Question-Answering system |
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| Sujian Li,Jian Zhang,Xiong Huang,Shuo Bai,Qun Liu.Semantic Computation in a Chinese Question-Answering System[J].Journal of Computer Science and Technology,2002,17(6):0-0. |
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| Authors: | Sujian Li Jian Zhang Xiong Huang Shuo Bai Qun Liu |
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| Affiliation: | (1) Institute of Computational Linguistics, Peking University, 100871 Beijing, P.R. China;(2) Software Department, Institute of Computing Technology, The Chinese Academy of Sciences, 100080 Beijing, P.R. China |
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| Abstract: | This paper introduces a kind of semantic computation and presents how to combine it into our Chinese Question-Answering (QA) system. Based on two kinds of language resources, Hownet and Cilin, we present an approach to computing the similarity and relevancy between words. Using these results, we can calculate the relevancy between two sentences and then get the optimal answer for the query in the system. The calculation adopts quantitative methods and can be incorporated into QA systems easily, avoiding some difficulties in conventional NLP (Natural Language Processing) problems. The experiments show that the results are satisfactory. |
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| Keywords: | similarity relevancy Hownet question-answering natural language processing |
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