SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Towards building contextual representations of word senses using statistical models
Corpus processing for lexical acquisition
Automatic word sense discrimination
Computational Linguistics - Special issue on word sense disambiguation
Contextual word similarity and estimation from sparse data
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
The computation of word associations: comparing syntagmatic and paradigmatic approaches
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
HLT '93 Proceedings of the workshop on Human Language Technology
Fast computation of lexical affinity models
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Using Two-Stage Concept-Based Singular Value Decomposition Technique as a Query Expansion Strategy
AINAW '07 Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops - Volume 01
Word Sense Induction Using Graphs of Collocations
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Co-dispersion: a windowless approach to lexical association
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
A structured vector space model for word meaning in context
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Generalizing dependency features for opinion mining
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Ranking paraphrases in context
TextInfer '09 Proceedings of the 2009 Workshop on Applied Textual Inference
Compositional expectation: a purely distributional model of compositional semantics
IWCS '11 Proceedings of the Ninth International Conference on Computational Semantics
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We introduce a new family of geometric models of meaning, inspired by principles from semiotics and information theory, based on what we call Expectation Vectors. We present theoretical arguments in support of these representations over traditional context-feature vectors: primarily that they provide a more intuitive representation of meaning, and detach vector representation from the specific context features thereby allowing arbitrarily sophisticated language models to be leveraged. We present a preliminary evaluation of an expectation vector based word sense disambiguation system using the SemEval-2007 task 2 dataset, with very encouraging results, particularly with respect to ambiguous verbs.