A Chinese QA system based on lexical chain

Author

Wang, Zhen-yu ; Zheng, Ying-yan

Author_Institution

Sch. of Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou

Volume

5

fYear

2008

fDate

12-15 July 2008

Firstpage

2450

Lastpage

2454

Abstract

Most technologies of Chinese question answering system did not make full use of the semantic information. This paper introduces an idea of building QA system based on lexical chain. The approach is to build lexical chains between question and the candidate answers, and then elect the most exact answer by comparing the chain connectivity. In the process, HowNet was used to analyze semantic roles of the key components in the question sentence. This method makes use of the semantic information in a deeper level, and improves the performance of QA system.

Keywords

information retrieval; natural language processing; Chinese question answering system; HowNet; chain connectivity; lexical chain; question sentence; semantic information; Computer science; Cybernetics; Data mining; Databases; Information retrieval; Machine learning; Natural languages; Pattern matching; Search engines; Web pages; Chinese Question Answering System; HowNet; Lexical chain; Semantic role analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2008 International Conference on

Conference_Location

Kunming

Print_ISBN

978-1-4244-2095-7

Electronic_ISBN

978-1-4244-2096-4

Type

conf

DOI

10.1109/ICMLC.2008.4620819

Filename

4620819