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» A Machine Learning Approach to Information Extraction
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RIDE
2003
IEEE
14 years 1 months ago
Exploiting multi-lingual text potentialities in EBMT systems
Translating documents from a source to a target language is a repetitive activity. The attempt to automate such a difficult task has been a long-term scientific dream. Among the...
Federica Mandreoli, Riccardo Martoglia, Paolo Tibe...
ACL
2004
13 years 9 months ago
The Sentimental Factor: Improving Review Classification Via Human-Provided Information
Sentiment classification is the task of labeling a review document according to the polarity of its prevailing opinion (favorable or unfavorable). In approaching this problem, a m...
Philip Beineke, Trevor Hastie, Shivakumar Vaithyan...
DEBU
2000
101views more  DEBU 2000»
13 years 7 months ago
Learning to Understand the Web
In a traditional information retrieval system, it is assumed that queries can be posed about any topic. In reality, a large fraction of web queries are posed about a relatively sm...
William W. Cohen, Andrew McCallum, Dallan Quass
ECML
2003
Springer
14 years 1 months ago
A Two-Level Learning Method for Generalized Multi-instance Problems
In traditional multi-instance (MI) learning, a single positive instance in a bag produces a positive class label. Hence, the learner knows how the bag’s class label depends on th...
Nils Weidmann, Eibe Frank, Bernhard Pfahringer
ICML
2007
IEEE
14 years 8 months ago
The matrix stick-breaking process for flexible multi-task learning
In multi-task learning our goal is to design regression or classification models for each of the tasks and appropriately share information between tasks. A Dirichlet process (DP) ...
Ya Xue, David B. Dunson, Lawrence Carin