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ACL
1998
15 years 1 months ago
Error Driven Word Sense Disambiguation
In this paper we describe a method for performing word sense disambiguation (WSD). The method relies on unsupervised learning and exploits functional relations among words as prod...
Luca Dini, Vittorio Di Tomaso, Frédé...
ASPDAC
2005
ACM
85views Hardware» more  ASPDAC 2005»
15 years 5 months ago
Integration of supercubing and learning in a SAT solver
Abstract— Learning is an essential pruning technique in modern SAT solvers, but it exploits a relatively small amount of information that can be deduced from the conflicts. Rece...
Domagoj Babic, Alan J. Hu
IJDMMM
2008
87views more  IJDMMM 2008»
14 years 11 months ago
Is an ordinal class structure useful in classifier learning?
In recent years, a number of machine learning algorithms have been developed for the problem of ordinal classification. These algorithms try to exploit, in one way or the other, t...
Jens C. Huhn, Eyke Hüllermeier
CONTEXT
2001
Springer
15 years 4 months ago
Learning Appropriate Contexts
Genetic Programming is extended so that the solutions being evolved do so in the context of local domains within the total problem domain. This produces a situation where different...
Bruce Edmonds
ACL
2009
14 years 9 months ago
Paraphrase Recognition Using Machine Learning to Combine Similarity Measures
This paper presents three methods that can be used to recognize paraphrases. They all employ string similarity measures apshallow abstractions of the input sentences, and a Maximu...
Prodromos Malakasiotis