Discovering word senses from text
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Automatic word sense discrimination
Computational Linguistics - Special issue on word sense disambiguation
Hownet And the Computation of Meaning
Hownet And the Computation of Meaning
Semeval-2007 task 02: evaluating word sense induction and discrimination systems
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Using measures of semantic relatedness for word sense disambiguation
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
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This paper reports an unsupervised approach we adopted for Wordnet construction. We combine ways of CBC word sense discrimination and automatic mapping measures to remove redundant senses of adjectives in Chinese Concept Dictionary. We optimize the similarity measure of adjective concepts and put forward two novel strategies to automatically evaluate the model’s performance. The experimental results show a rather fine conformance to the work based on human judgments.