Contextual correlates of synonymy
Communications of the ACM
Conceptual Spaces: The Geometry of Thought
Conceptual Spaces: The Geometry of Thought
A structured vector space model for word meaning in context
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
From frequency to meaning: vector space models of semantics
Journal of Artificial Intelligence Research
A regression model of adjective-noun compositionality in distributional semantics
GEMS '10 Proceedings of the 2010 Workshop on GEometrical Models of Natural Language Semantics
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Distributional memory: A general framework for corpus-based semantics
Computational Linguistics
Integrating logical representations with probabilistic information using Markov logic
IWCS '11 Proceedings of the Ninth International Conference on Computational Semantics
Experimenting with transitive verbs in a DisCoCat
GEMS '11 Proceedings of the GEMS 2011 Workshop on GEometrical Models of Natural Language Semantics
Semi-supervised recursive autoencoders for predicting sentiment distributions
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Distributional semantics in technicolor
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
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Adjectival modification, particularly by expressions that have been treated as higher-order modifiers in the formal semantics tradition, raises interesting challenges for semantic composition in distributional semantic models. We contrast three types of adjectival modifiers -- intersectively used color terms (as in white towel, clearly first-order), subsectively used color terms (white wine, which have been modeled as both first- and higher-order), and intensional adjectives (former bassist, clearly higher-order) -- and test the ability of different composition strategies to model their behavior. In addition to opening up a new empirical domain for research on distributional semantics, our observations concerning the attested vectors for the different types of adjectives, the nouns they modify, and the resulting noun phrases yield insights into modification that have been little evident in the formal semantics literature to date.