DocumentCode
2014220
Title
Anaphora resolution in Chinese financial news for information extraction
Author
Wang, Ning ; Yuan, Chunfa ; Wong, K.F. ; Li, Wenjie
Author_Institution
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
Volume
3
fYear
2002
fDate
2002
Firstpage
2422
Abstract
Anaphora always appears in the text and it is a hot topic in linguistics and computational linguistics area. Anaphora resolution is an important part of the information extraction, and it is also important to discourse understanding, machine translation, abstract extraction and so on. After studying on the text in Chinese financial domain, an anaphora resolution system is proposed, which is built on a set of filtration rules and a set of evaluation rules. The experiment result shows the precision is 91.4%.
Keywords
financial data processing; information retrieval; natural languages; Chinese financial news; abstract extraction; anaphora resolution; evaluation rules; filtration rules; information extraction; machine translation; Automation; Computational linguistics; Computer science; Data mining; Filtration; Intelligent control; Intelligent systems; Laboratories; Research and development management; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN
0-7803-7268-9
Type
conf
DOI
10.1109/WCICA.2002.1021526
Filename
1021526
Link To Document