Computer Engineering & Science >
Named Entity Recognition of the Products with English Based on Conditional Random Fields
Received date: 2009-09-26
Revised date: 2009-12-21
Online published: 2010-06-01
Recently, as the scarce research of Named Entity Recognition of the Products with English domesticaly and abroad, this paper aims at the task of TREC 2009, and proposes a method for the Named Entity Recognition of the Products with English based on the Conditional Random Fields model. In the conditional random field, this paper adopts word as the grain processing unit; uses the context information and especial cue information of English product names as the features of recognition, and adopts the artificially constructed dictionary to build the model. A good result has been obtained by the experiment and the accuracy rate of the English product entity recognition is up to 93.6%, and the recall rate 92.4%.
ZHANG Chaosheng1,GUO Jianyi1,2,XIAN Yantuan1,2,YU Zhengtao1,2,LEI Chunya1,W . Named Entity Recognition of the Products with English Based on Conditional Random Fields[J]. Computer Engineering & Science, 2010 , 32(6) : 115 -117 . DOI: 10.3969/j.issn.1007130X.2010.
/
| 〈 |
|
〉 |