Semantic computation in a Chinese question-answering system

Authors:
Sujian Li;Jian Zhang;Xiong Huang;Shuo Bai;Qun Liu
Affiliations:
Institute of Computational Linguistics, Peking University, Beijing 100871, P.R. China;Software Department, Institute of Computing Technology, The Chinese Academy of Sciences Beijing 100080, P.R. China;Software Department, Institute of Computing Technology, The Chinese Academy of Sciences Beijing 100080, P.R. China;Software Department, Institute of Computing Technology, The Chinese Academy of Sciences Beijing 100080, P.R. China;Software Department, Institute of Computing Technology, The Chinese Academy of Sciences Beijing 100080, P.R. China
Venue:
Journal of Computer Science and Technology
Year:
2002

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Abstract

This paper introduces a kind of semantic computation and present, 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.