Proceedings of the 1992 ACM/IEEE conference on Supercomputing
Explorations in Automatic Thesaurus Discovery
Explorations in Automatic Thesaurus Discovery
Accurate methods for the statistics of surprise and coincidence
Computational Linguistics - Special issue on using large corpora: I
Automatic retrieval and clustering of similar words
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Noun classification from predicate-argument structures
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Improvements in automatic thesaurus extraction
ULA '02 Proceedings of the ACL-02 workshop on Unsupervised lexical acquisition - Volume 9
Dependency-Based Construction of Semantic Space Models
Computational Linguistics
Identifying concept attributes using a classifier
DeepLA '05 Proceedings of the ACL-SIGLEX Workshop on Deep Lexical Acquisition
Measuring semantic relatedness with vector space models and random walks
TextGraphs-4 Proceedings of the 2009 Workshop on Graph-based Methods for Natural Language Processing
A structured vector space model for hidden attribute meaning in adjective-noun phrases
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Distributional memory: A general framework for corpus-based semantics
Computational Linguistics
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We present the results of clustering experiments with a number of different evaluation sets using dependency based word spaces. Contrary to previous results we found a clear advantage using a parsed corpus over word spaces constructed with the help of simple patterns. We achieve considerable gains in performance over these spaces ranging between 9 and 13% in absolute terms of cluster purity.