Research on Sports Game News Information Extraction

Author

Yang, Yonggui ; Li, Lei

Author_Institution

Beijing Univ. of Posts & Telecomm., Beijing

fYear

2007

fDate

Aug. 30 2007-Sept. 1 2007

Firstpage

96

Lastpage

101

Abstract

With the development of Internet and the development of information technology, a tremendous amount of news information appears everyday. How to extract the useful knowledge is a burning problem. The sports game news-oriented information extraction system introduced in the paper combined the statistics-based hidden Markov model (HMM) and rule-based method based on the technology of natural language processing and information extraction. The system could transform Chinese sports game news in free text or html pages into structured data of useful knowledge automatically. In addition, we studied named entity recognition for knowledge candidates using rule-based method. Testing results have shown that the performance is good.

Keywords

hidden Markov models; humanities; information management; Internet; hidden Markov model; natural language processing; rule-based method; sports game news-oriented information extraction system; Data mining; Databases; Finance; HTML; Helium; Information analysis; Information technology; Internet; Personnel; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Language Processing and Knowledge Engineering, 2007. NLP-KE 2007. International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-1611-0

Electronic_ISBN

978-1-4244-1611-0

Type

conf

DOI

10.1109/NLPKE.2007.4368017

Filename

4368017