Research on Topic Relevancy of Sentences Based on HowNet Semantic Computation

Author

Xu, Jinzhong ; Liu, Jie ; Liu, Xiaoming

Author_Institution

Beijing Inst. of Technol., BIT Beijing, Beijing Inst. of Technol., Beijing, China

Volume

2

fYear

2009

fDate

12-14 Aug. 2009

Firstpage

195

Lastpage

198

Abstract

In Automatic Question Answering System, topic identification is usually based on relevancy computation of sentences. This paper introduces an approach to compute topic relevancy. Using the semantic computation in HowNet, the relevancy of sentences can be calculated. The topic relevancy of sentences can be calculated through the computation of relevancy between words of sentence and subject words. Experimental results show the effectiveness of the method.

Keywords

ontologies (artificial intelligence); text analysis; HowNet semantic computation; automatic question answering system; sentence relevancy computation; sentence topic relevancy; topic identification; Classification tree analysis; Computer science; Dictionaries; Educational institutions; Hybrid intelligent systems; Knowledge engineering; Natural language processing; Ontologies; Reflection; Software libraries; Automatic Question Answering System; Hownet; semantic computation; topic identification; topic relevancy;

fLanguage

English

Publisher

ieee

Conference_Titel

Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on

Conference_Location

Shenyang

Print_ISBN

978-0-7695-3745-0

Type

conf

DOI

10.1109/HIS.2009.150

Filename

5254448