DocumentCode :
3105344
Title :
A Terminology Tagging System Using Knowledge in an Encyclopedia
Author :
Bae, Young-Jun ; Im, Ji-Hui ; Ock, Cheol-Young ; Shim, Kang-seop ; Kim, Dong-Myoung ; Choe, Ho-Seop
fYear :
2007
fDate :
22-24 Aug. 2007
Firstpage :
177
Lastpage :
182
Abstract :
In this paper, we developed a terminology tagging system using knowledge in an encyclopedia on web.Using the encyclopedia we first of all, constructed a terminology tagged corpus. The terminology tag sets consist of category information of terminology and identification in the encyclopedia. The corpus was used to extract context rules and heuristic rules for terminology tagging system and to be as an answer set for evaluating the system.The context rules and heuristic rules are automatically extracted from the terminology tagged corpus and heuristic rules according to the syntactic patterns and morphological characteristics. The terminology tagging system uses the context rules, heuristic rules and dictionary of postposition and ending of a word instead of morphological analyzer for faster system.The terminology tagging system is evaluated using the tagged corpus and its precision is resulted in 98.0%.
Keywords :
Data mining; Databases; Dictionaries; Encyclopedias; Information technology; Internet; Natural languages; Statistical analysis; Tagging; Terminology; terminology tagging systemterminology tag settagging ruleterminology tagged corpus;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Language Processing and Web Information Technology, 2007. ALPIT 2007. Sixth International Conference on
Conference_Location :
Luoyang, Henan, China
Print_ISBN :
978-0-7695-2930-1
Type :
conf
DOI :
10.1109/ALPIT.2007.62
Filename :
4460636
Link To Document :
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