Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Automatic retrieval and clustering of similar words
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Unsupervised methods for developing taxonomies by combining syntactic and statistical information
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
A distributional model of semantic context effects in lexical processing
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Finding predominant word senses in untagged text
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Dependency-Based Construction of Semantic Space Models
Computational Linguistics
SVO triple based latent semantic analysis for recognising textual entailment
RTE '07 Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing
From frequency to meaning: vector space models of semantics
Journal of Artificial Intelligence Research
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In this paper we propose a new model of word semantics and similarity that is based on the structural alignment of 〈SubjectVerbObject〉 triples extracted from a corpus. The model gives transparent and meaningful representations of word semantics in terms of the predicates asserted of those words in a corpus. The model goes beyond current corpus-based approaches to word similarity in that it reflects the current psychological understanding of similarity as based on structural comparison and alignment. In an assessment comparing the model's similarity scores with those provided by people for 350 word pairs, the model closely matches people's similarity judgments and gives a significantly better fit to people's judgments than that provided by a standard measure of semantic similarity.