Title :
A method of restricted knowledge acquisition from WordNet
Author :
Suárez, A. ; Saiz-Noeda, M. ; Palomar, M.
Author_Institution :
Dept. Lenguajes y Sistemas Inf., Alicante Univ., Spain
Abstract :
The problem with using extensive lexical, syntactic and semantic resources is the large quantity of information that is provided, as well as all the different senses that each word has. To contribute to the resolution of this problem, this paper presents a tool for knowledge acquisition from WordNet, restricting and limiting the learning of word senses. For this purpose, a semantically restricted corpus (Brown Corpus semantic concordance files from the WordNet package) is used, and a restricted “subnet” is obtained, with the word senses related to the text domain
Keywords :
data mining; knowledge acquisition; linguistics; natural languages; thesauri; very large databases; Brown Corpus; WordNet; information quantity; lexical resources; restricted knowledge acquisition; semantic concordance files; semantic resources; semantic tagging; semantically restricted corpus; subnet; syntactic resources; text domain; word sense disambiguation; word sense learning; Data mining; Databases; Humans; Information retrieval; Knowledge acquisition; Packaging; Proposals; Psychology; Tagging; Thesauri;
Conference_Titel :
Knowledge-Based Intelligent Information Engineering Systems, 1999. Third International Conference
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-5578-4
DOI :
10.1109/KES.1999.820114
