DocumentCode :
3317459
Title :
Discovering ISO relations among synsets in a flat thesaurus automatically
Author :
He, Tingting ; Li, Jing ; Ji, DongHong
Author_Institution :
Dept. of Comput. Sci., Huazhang Normal Univ., Wuhan, China
fYear :
2005
fDate :
30 Oct.-1 Nov. 2005
Firstpage :
287
Lastpage :
293
Abstract :
The semantic resources are very important for natural language processing (NLP). Constructing the semantic resources by hand can lead to good results, but costs a lot. This paper proposes an effective method to automatically construct a hierarchically organized resource based on a traditional flat thesaurus. With the method, we could enrich immediate super-ordinate (ISO) relations among synsets in the existing resources and make good use of them in the field of NLP. We also develop an automatic method to evaluate the semantic relations detected in our experiment with a machine-readable dictionary.
Keywords :
data mining; dictionaries; natural languages; thesauri; flat thesaurus; immediate super-ordinate relation; machine-readable dictionary; natural language processing; semantic resource; synsets; Buildings; Computer science; Costs; Databases; Dictionaries; Helium; ISO; Natural language processing; Production; Thesauri;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Language Processing and Knowledge Engineering, 2005. IEEE NLP-KE '05. Proceedings of 2005 IEEE International Conference on
Print_ISBN :
0-7803-9361-9
Type :
conf
DOI :
10.1109/NLPKE.2005.1598750
Filename :
1598750
Link To Document :
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