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
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;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1021526
