Artificial Intelligence - On connectionist symbol processing
Training products of experts by minimizing contrastive divergence
Neural Computation
The Journal of Machine Learning Research
Distributional clustering of English words
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Measurement of similarity between nouns
COLING '65 Proceedings of the 1965 conference on Computational linguistics
More accurate tests for the statistical significance of result differences
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Inducing a semantically annotated lexicon via EM-based clustering
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
The second release of the RASP system
COLING-ACL '06 Proceedings of the COLING/ACL on Interactive presentation sessions
Dependency-Based Construction of Semantic Space Models
Computational Linguistics
Efficient methods for topic model inference on streaming document collections
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
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
A latent dirichlet allocation method for selectional preferences
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Latent variable models of selectional preference
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Compositional matrix-space models of language
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Contextualizing semantic representations using syntactically enriched vector models
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Topic models for word sense disambiguation and token-based idiom detection
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
UCD-PN: Selecting general paraphrases using conditional probability
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
From frequency to meaning: vector space models of semantics
Journal of Artificial Intelligence Research
Measuring distributional similarity in context
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
A mixture model with sharing for lexical semantics
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Concrete sentence spaces for compositional distributional models of meaning
IWCS '11 Proceedings of the Ninth International Conference on Computational Semantics
A preference learning approach to sentence ordering for multi-document summarization
Information Sciences: an International Journal
A comparison of models of word meaning in context
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Modelling selectional preferences in a lexical hierarchy
SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
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This paper investigates novel methods for incorporating syntactic information in probabilistic latent variable models of lexical choice and contextual similarity. The resulting models capture the effects of context on the interpretation of a word and in particular its effect on the appropriateness of replacing that word with a potentially related one. Evaluating our techniques on two datasets, we report performance above the prior state of the art for estimating sentence similarity and ranking lexical substitutes.