Semantic computation in a Chinese question-answering system

被引：87

作者：

Li, SJ ^{[1
]}

Zhang, J

Huang, X

Bai, S

Liu, Q

机构：

[1] Peking Univ, Inst Computat Linguist, Beijing 100871, Peoples R China

[2] Chinese Acad Sci, Software Dept, Inst Comp Technol, Beijing 100080, Peoples R China

来源：

JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY | 2002年 / 17卷 / 06期

关键词：

similarity; relevancy; Hownet; question-answering; natural language processing;

D O I：

10.1007/BF02960786

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

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.

引用

页码：933 / 939

页数：7