DocumentCode
3461010
Title
English Location Entity Recognition Based on Conditional Random Fields
Author
Xiaolong Guo ; Yuncheng Du ; Xueqiang Lv ; Shuicai Shi
Author_Institution
Chinese Inf. Process. Res. Center, Beijing Inf. Sci. & Technol. Univ., Beijing, China
fYear
2009
fDate
7-9 Dec. 2009
Firstpage
274
Lastpage
277
Abstract
Location entity detection is one task of automatic content extraction 2008 (ACE2008), which defines five types of entities. In this paper, the conditional random fields model is used to recognize the English location by selecting different characteristics. We select the features of English location dictionary, preposition prefix to improve the experimental results. Through calculating the recall, precision and F-value, we found that they are great impact of the quality by the characteristics. The experimental results show that, to a certain extent, more characteristics are selected, better result will be got.
Keywords
dictionaries; information filtering; natural language processing; pattern recognition; statistical analysis; English location dictionary; English location entity recognition; conditional random fields; location entity detection; Automatic control; Character recognition; Data mining; Dictionaries; Information processing; Information science; Information technology; Meetings; NIST; Natural language processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on
Conference_Location
Kaohsiung
Print_ISBN
978-1-4244-5543-0
Type
conf
DOI
10.1109/ICICIC.2009.193
Filename
5412595
Link To Document