The extraction method of the word meaning class
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TL;DR
This paper proposes a method of extracting the semantic class information on a word from a set of documents by using the characteristic that the frequency of abstract words is high while thefrequency of concrete words is small.
Abstract
In natural language processing, the semantic class information about a word is an important piece of knowledge. For a thesaurus dictionary, which shows the semantic information between words, the editing work is normally carried out manually, which means that a great number of man-hours is necessary for the editing work. This paper proposes a method of extracting the semantic class information on a word from a set of documents. This information is extracted by using the characteristic that the frequency of abstract words is high while the frequency of concrete words is small. As a result of this experiment, it was confirmed that about 20% of the extracted words should be registered in the thesaurus dictionary.