Self-organizing maps
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Encoding information on adjectives in a lexical-semantic net for computational applications
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Modeling adjectives in computational relational lexica
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
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In this paper we aim to detect some aspects of adjectival meanings. Concepts of adjectives are distributed by SOM (Self-Organizing map) whose feature vectors are calculated by MI (Mutual Information). For the SOM obtained, we make tight clusters from map nodes, calculated by cosine. In addition, the number of tight clusters obtained by cosine was increased using map nodes and Japanese thesaurus. As a result, the number of extended clusters of concepts was 149 clusters. From the map, we found 8 adjectival clusters in super-ordinate level and some tendencies of similar and dissimilar clusters.