454 search results - page 11 / 91 » Holistic Context Modeling using Semantic Co-occurrences |
ACL
2012
11 years 11 months ago
2012
Unsupervised word representations are very useful in NLP tasks both as inputs to learning algorithms and as extra word features in NLP systems. However, most of these models are b...
IDEAS
2003
IEEE
14 years 1 months ago
2003
IEEE
In the context of information system engineering, we propose a four-layer metamodeling architecture with a comprehensive set of operations on metamodels. Our architecture enables ...
ICPR
2004
IEEE
14 years 9 months ago
2004
IEEE
MAP estimation of Gaussian mixtures through maximisation of penalised likelihoods was used to learn models of spatial context. This enabled prior beliefs about the scale, orientat...
ICPR
2010
IEEE
13 years 8 months ago
2010
IEEE
In this paper, a statistical learning approach to spatial context exploitation for semantic image analysis is presented. The proposed method constitutes an extension of the key pa...
RTA
2004
Springer
14 years 1 months ago
2004
Springer
Over the past decade, researchers have found context-sensitive term-rewriting semantics to be powerful and expressive tools for modeling programming languages, particularly in esta...