DocumentCode
2903209
Title
Product Named Entity Recognition Using Conditional Random Fields
Author
Luo, Fang ; Xiao, Han ; Chang, Weili
Author_Institution
Dept. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan, China
fYear
2011
fDate
17-18 Oct. 2011
Firstpage
86
Lastpage
89
Abstract
For Product Named Entity Recognition, Conditional Random Fields model is used in this paper. By introducing the domain ontology features to the CRFs model can improve the performance of Product Named Entity Recognition, and experiments were made to compare the two kinds of feature templates. Empirical results show that the PNER based on CRFs model with ontology features can achieve good performance. However, the Imperfect of Domain Ontology leads to the product named entity recognition may be not better than the research of other previous scholars using other methods for traditional named entity recognition.
Keywords
natural language processing; ontologies (artificial intelligence); conditional random fields; domain ontology; product named entity recognition; Computational modeling; Computers; Context; Mathematical model; Ontologies; Semantics; Speech; CRFs; Domain Ontology; Feature Selection; PNER;
fLanguage
English
Publisher
ieee
Conference_Titel
Business Intelligence and Financial Engineering (BIFE), 2011 Fourth International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4577-1541-9
Type
conf
DOI
10.1109/BIFE.2011.101
Filename
6121094
Link To Document