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
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;
Conference_Titel :
Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4244-5543-0
DOI :
10.1109/ICICIC.2009.193