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» Can Document Selection Help Semi-supervised Learning
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IMCSIT
2010
13 years 7 months ago
Learning taxonomic relations from a set of text documents
This paper presents a methodology for learning taxonomic relations from a set of documents that each explain one of the concepts. Three different feature extraction approaches with...
Mari-Sanna Paukkeri, Alberto Pérez Garc&iac...
ATAL
2006
Springer
13 years 12 months ago
Selecting informative actions improves cooperative multiagent learning
In concurrent cooperative multiagent learning, each agent simultaneously learns to improve the overall performance of the team, with no direct control over the actions chosen by i...
Liviu Panait, Sean Luke
JASIS
2006
96views more  JASIS 2006»
13 years 9 months ago
Learning to classify documents according to genre
Genre or style analysis can be used to improve results achieved using standard IR techniques. A genre class is a group of documents that are written in a similar style. Genre clas...
Aidan Finn, Nicholas Kushmerick
CLEF
2004
Springer
14 years 3 months ago
Interactive and Bilingual Question Answering Using Term Suggestion and Passage Retrieval
The Question Answering Task requires user interaction. Users can help the system by reformulating the questions, adding information to them or selecting the documents on which the ...
Carlos G. Figuerola, Ángel F. Zazo Rodr&iac...
LREC
2010
149views Education» more  LREC 2010»
13 years 11 months ago
Paragraph Acquisition and Selection for List Question Using Amazon's Mechanical Turk
Creating more fine-grained annotated data than previously relevent document sets is important for evaluating individual components in automatic question answering systems. In this...
Fang Xu, Dietrich Klakow