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» From Frequency to Meaning: Vector Space Models of Semantics
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NAACL
2010
13 years 3 months ago
Multi-Prototype Vector-Space Models of Word Meaning
Current vector-space models of lexical semantics create a single "prototype" vector to represent the meaning of a word. However, due to lexical ambiguity, encoding word ...
Joseph Reisinger, Raymond J. Mooney
CORR
2010
Springer
143views Education» more  CORR 2010»
13 years 5 months ago
Mathematical Foundations for a Compositional Distributional Model of Meaning
We propose a mathematical framework for a unification of the distributional theory of meaning in terms of vector space models, and a compositional theory for grammatical types, fo...
Bob Coecke, Mehrnoosh Sadrzadeh, Stephen Clark
ACL
2003
13 years 6 months ago
Orthogonal Negation in Vector Spaces for Modelling Word-Meanings and Document Retrieval
Standard IR systems can process queries such as “web NOT internet”, enabling users who are interested in arachnids to avoid documents about computing. The documents retrieved ...
Dominic Widdows
IJCAI
2007
13 years 6 months ago
Computing Semantic Relatedness Using Wikipedia-based Explicit Semantic Analysis
Computing semantic relatedness of natural language texts requires access to vast amounts of common-sense and domain-specific world knowledge. We propose Explicit Semantic Analysi...
Evgeniy Gabrilovich, Shaul Markovitch
IIR
2010
13 years 6 months ago
Semantic Vectors: an Information Retrieval Scenario
In this paper we exploit Semantic Vectors to develop an IR system. The idea is to use semantic spaces built on terms and documents to overcome the problem of word ambiguity. Word ...
Pierpaolo Basile, Annalina Caputo, Giovanni Semera...