Abstract
We think that realizing computers understanding natural language needs an association-system which outputs words related to input words. The associationsystem consists of the concept-base and an algorithm measuring the degree of association between words. In the concept-base, the meaning of a word is defined by a set of words (attributes) expressing the semantic feature of the word, with their weights show importance of the attributes to the word. This study aims to construct the concept-base. The first concept-base is automatically made from several electronic dictionaries. There are, however, many unsuitable attributes in the concept-base, and their weights are unreliable because of the automatic construction. A refining method to delete the unsuitable attributes and to correct the unreliable weighs by the degree of attribute reliability has proposed. But the refining method cannot increase the attributes. This paper proposes the method expanding the attributes of the refined concept-base, by logical relations between the words, and shows effects of the proposed method by evaluation with test data and the degree of association.
