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» Verb Class Disambiguation Using Informative Priors
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ICML
2007
IEEE
14 years 8 months ago
Learning a meta-level prior for feature relevance from multiple related tasks
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
Su-In Lee, Vassil Chatalbashev, David Vickrey, Dap...
ACL
2003
13 years 9 months ago
Clustering Polysemic Subcategorization Frame Distributions Semantically
Previous research has demonstrated the utility of clustering in inducing semantic verb classes from undisambiguated corpus data. We describe a new approach which involves clusteri...
Anna Korhonen, Yuval Krymolowski, Zvika Marx
JAIR
2008
118views more  JAIR 2008»
13 years 7 months ago
On the Use of Automatically Acquired Examples for All-Nouns Word Sense Disambiguation
This article focuses on Word Sense Disambiguation (WSD), which is a Natural Language Processing task that is thought to be important for many Language Technology applications, suc...
David Martínez, Oier Lopez de Lacalle, Enek...
WOSP
1998
ACM
13 years 12 months ago
Predicting memory use from a class diagram using dynamic information
Increasingly, new applications are being built by composing existing software components rather than by coding a system from scratch. Using this approach, applications can be buil...
Gail C. Murphy, Ekaterina Saenko
BMCBI
2006
112views more  BMCBI 2006»
13 years 7 months ago
Algorithms for incorporating prior topological information in HMMs: application to transmembrane proteins
Background: Hidden Markov Models (HMMs) have been extensively used in computational molecular biology, for modelling protein and nucleic acid sequences. In many applications, such...
Pantelis G. Bagos, Theodore D. Liakopoulos, Stavro...