David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
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|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
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.
Similar books and articles
Ronald N. Giere (1999). Using Models to Represent Reality. In L. Magnani, N. J. Nersessian & P. Thagard (eds.), Model-Based Reasoning in Scientific Discovery. Kluwer/Plenum. 41--57.
Francesco Amigoni & Viola Schiaffonati (2008). A Multiagent Approach to Modelling Complex Phenomena. Foundations of Science 13 (2):113-125.
David J. Chalmers (1990). Syntactic Transformations on Distributed Representations. Connection Science 2:53-62.
Timothy P. McNamara (2005). Semantic Priming: Perspectives From Memory and Word Recognition. Psychology Press.
Benjamin Stone, Simon Dennis & Peter J. Kwantes (2011). Comparing Methods for Single Paragraph Similarity Analysis. Topics in Cognitive Science 3 (1):92-122.
Tony A. Plate (1998). Chunks, Bindings, STAR, and Holographic Reduced Representations. Behavioral and Brain Sciences 21 (6):844-845.
David Galles & Judea Pearl (1998). An Axiomatic Characterization of Causal Counterfactuals. Foundations of Science 3 (1):151-182.
Anne Preller & Mehrnoosh Sadrzadeh (2011). Semantic Vector Models and Functional Models for Pregroup Grammars. Journal of Logic, Language and Information 20 (4):419-443.
Brian Riordan & Michael N. Jones (2011). Redundancy in Perceptual and Linguistic Experience: Comparing Feature-Based and Distributional Models of Semantic Representation. Topics in Cognitive Science 3 (2):303-345.
Added to index2010-08-11
Total downloads42 ( #42,710 of 1,099,722 )
Recent downloads (6 months)6 ( #51,106 of 1,099,722 )
How can I increase my downloads?