Foundations of statistical natural language processing
Foundations of statistical natural language processing
Deriving concept hierarchies from text
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Explorations in Automatic Thesaurus Discovery
Explorations in Automatic Thesaurus Discovery
Distributional clustering of English words
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Automatic construction of a hypernym-labeled noun hierarchy from text
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
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This paper introduces new specificity determining methods for terms using compositional and contextual information. Specificity of terms is the quantity of domain specific information that is contained in the terms. The methods are modeled as information theory like measures. As the methods don't use domain specific information, they can be applied to other domains without extra processes. Experiments showed very promising result with the precision of 82.0% when the methods were applied to the terms in MeSH thesaurus.