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» A Structured Vector Space Model for Word Meaning in Context
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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
COLING
2010
12 years 12 months ago
A Structured Vector Space Model for Hidden Attribute Meaning in Adjective-Noun Phrases
We present an approach to model hidden attributes in the compositional semantics of adjective-noun phrases in a distributional model. For the representation of adjective meanings,...
Matthias Hartung, Anette Frank
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
CORR
2010
Springer
67views Education» more  CORR 2010»
13 years 5 months ago
From Frequency to Meaning: Vector Space Models of Semantics
Computers understand very little of the meaning of human language. This profoundly limits our ability to give instructions to computers, the ability of computers to explain their ...
Peter D. Turney, Patrick Pantel
NLDB
2007
Springer
13 years 11 months ago
Four Methods for Supervised Word Sense Disambiguation
Word sense disambiguation is the task to identify the intended meaning of an ambiguous word in a certain context, one of the central problems in natural language processing. This p...
Kinga Schumacher