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» Filaments of Meaning in Word Space
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SMC
2010
IEEE
202views Control Systems» more  SMC 2010»
13 years 8 months ago
Evaluating the performance of nonnegative matrix factorization for constructing semantic spaces: Comparison to latent semantic a
—This study examines the ability of nonnegative matrix factorization (NMF) as a method for constructing semantic spaces, in which the meaning of each word is represented by a hig...
Akira Utsumi
LREC
2010
163views Education» more  LREC 2010»
13 years 11 months ago
Meaning Representation: From Continuity to Discreteness
This paper presents a geometric approach to meaning representation within the framework of continuous mathematics. Meaning representation is a central issue in Natural Language Pr...
Fabienne Venant
CORR
2010
Springer
152views Education» more  CORR 2010»
13 years 10 months ago
Microlocal Analysis of the Geometric Separation Problem
Image data are often composed of two or more geometrically distinct constituents; in galaxy catalogs, for instance, one sees a mixture of pointlike structures (galaxy supercluster...
David L. Donoho, Gitta Kutyniok
NLDB
2007
Springer
14 years 3 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
ACL
2003
13 years 11 months ago
Constructing Semantic Space Models from Parsed Corpora
Traditional vector-based models use word co-occurrence counts from large corpora to represent lexical meaning. In this paper we present a novel approach for constructing semantic ...
Sebastian Padó, Mirella Lapata