DocumentCode :
598644
Title :
Learning taxonomical relations from domain texts using WordNet and word sense disambiguation
Author :
Punuru, Janardhana ; Chen, Jianhua
Author_Institution :
Department of Computer Science, Louisiana State University, Baton Rouge, 70803-4020, USA
fYear :
2012
fDate :
11-13 Aug. 2012
Firstpage :
382
Lastpage :
387
Abstract :
Learning taxonomical relations from domain texts is an important task for ontology learning from texts. We observe that rich information on taxonomical relations is available in the lexical knowledge base WordNet. However, in order to exploit the taxonomical relations in WordNet we need to tackle the difficult problem of word sense disambiguation. In this paper, we present a weighted word sense disambiguation method and show its application for learninng taxonomical relations from domain texts. The experimental results indicate that using WordNet and our word sense disambiguation method achieves good accuracy and coverage for the learning task.
Keywords :
Buildings; Taxonomical Relations; Text Mining; Word Sense Disambiguation; WordNet;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Granular Computing (GrC), 2012 IEEE International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4673-2310-9
Type :
conf
DOI :
10.1109/GrC.2012.6468601
Filename :
6468601
Link To Document :
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