David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Cognitive Science 34 (8):1388-1429 (2010)
Vector-based models of word meaning have become increasingly popular in cognitive science. The appeal of these models lies in their ability to represent meaning simply by using distributional information under the assumption that words occurring within similar contexts are semantically similar. Despite their widespread use, vector-based models are typically directed at representing words in isolation, and methods for constructing representations for phrases or sentences have received little attention in the literature. This is in marked contrast to experimental evidence (e.g., in sentential priming) suggesting that semantic similarity is more complex than simply a relation between isolated words. This article proposes a framework for representing the meaning of word combinations in vector space. Central to our approach is vector composition, which we operationalize in terms of additive and multiplicative functions. Under this framework, we introduce a wide range of composition models that we evaluate empirically on a phrase similarity task
|Keywords||Semantic spaces Phrase similarity Meaning representations Compositionality Distributional models Connectionism|
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References found in this work BETA
James Deese (1959). On the Prediction of Occurrence of Particular Verbal Intrusions in Immediate Recall. Journal of Experimental Psychology 58 (1):17.
Vera Demberg & Frank Keller (2008). Data From Eye-Tracking Corpora as Evidence for Theories of Syntactic Processing Complexity. Cognition 109 (2):193-210.
Chris Eliasmith & Paul Thagard (2001). Integrating Structure and Meaning: A Distributed Model of Analogical Mapping. Cognitive Science 25 (2):245-286.
Friedrich Ludwig Gottlob Frege (1884). Die Grundlagen Der Arithmetik: Eine Logisch-Mathematische Untersuchung Über Den Begriff Der Zahl. W. Koebner.
Evan Heit & Joshua Rubinstein (1994). Similarity and Property Effects in Inductive Reasoning. Journal of Experimental Psychology 20:411-422.
Citations of this work BETA
Brendan T. Johns & Michael N. Jones (2012). Perceptual Inference Through Global Lexical Similarity. Topics in Cognitive Science 4 (1):103-120.
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