The research and application of the Chinese sports information extraction

Author

Zhang, Su-xiang ; Meng, Luo-ming ; Gao, Guo-yang ; Qin, Ying

Author_Institution

Inst. of Network Technol., Beijing Univ. of Posts & Telecommun., Beijing, China

Volume

1

fYear

2012

fDate

15-17 July 2012

Firstpage

67

Lastpage

71

Abstract

By combining the model framework and rules of the unified conditional random fields, a new approach is proposed in this paper. We investigate the two key technologies of Information Extraction (IE), known as Named Entity Recognition (NER) and automatic entity Relation Extraction (RE), and explore several new features of our model on the “sports game” scene. The proposed method is implemented on some data collected from sohu.com and sina.com. Experimental results show that by combining the above new elements, our approach brings some improvements to IE, where the recall, precision and the F-measure are 95.70%, 93.00% and 94.33% respectively.

Keywords

computational linguistics; data structures; feature extraction; natural language processing; sport; Chinese sports information extraction; F-measure; IE; NER; RE; automatic entity relation extraction; data collection; named entity recognition; sina.com; sohu.com; sports game scene; unified conditional random fields; Abstracts; Games; Manuals; Semantics; Conditional random fields; Entity relation extraction; Information extraction; Named entity recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics (ICMLC), 2012 International Conference on

Conference_Location

Xian

ISSN

2160-133X

Print_ISBN

978-1-4673-1484-8

Type

conf

DOI

10.1109/ICMLC.2012.6358888

Filename

6358888