A method of restricted knowledge acquisition from WordNet
Armando Suárez Cueto, Maximiliano Saiz-Noeda, Manuel Palomar · 2003
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.