DocumentCode :
2836862
Title :
Entity-Relation Extraction for Chinese Based on Pattern Evolution and PageRank
Author :
Liu, Yaqing ; Chen, Rong ; Yang, Hong
Author_Institution :
Sch. of Inf. Sci. & Technol., Dalian Maritime Univ., Dalian, China
fYear :
2009
fDate :
19-20 Dec. 2009
Firstpage :
1
Lastpage :
4
Abstract :
Based on DIPRE, we use such knowledge as synonymy relation and hyponymy relation to evolve the extraction pattern in order to make the extraction pattern set become more expressive. Additionally, we use PageRank algorithm for reference to rank these entity-pairs in final result set so that the result set is global optimum. Experiments reveal that the new algorithm may not only enhance recall rate but greatly enhance precision rate.
Keywords :
feature extraction; pattern recognition; Chinese based; DIPRE; enhance precision rate; enhance recall rate; entity relation extraction; extraction pattern set; global optimum result set; hyponymy relation; pagerank algorithm; pattern evolution; synonymy relation knowledge; Clustering algorithms; Data mining; Information science; Iterative methods; Kernel; Learning systems; Machine learning algorithms; Tagging; Tree graphs; World Wide Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4994-1
Type :
conf
DOI :
10.1109/ICIECS.2009.5364487
Filename :
5364487
Link To Document :
بازگشت