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» Using Inverse Resolution to Learn Relations from Experiments
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63
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LREC
2010
131views Education» more  LREC 2010»
14 years 11 months ago
A Semi-supervised Type-based Classification of Adjectives: Distinguishing Properties and Relations
We present a semi-supervised machine-learning approach for the classification of adjectives into property- vs. relationdenoting adjectives, a distinction that is highly relevant f...
Matthias Hartung, Anette Frank
KDD
2008
ACM
259views Data Mining» more  KDD 2008»
15 years 10 months ago
Using ghost edges for classification in sparsely labeled networks
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...
78
Voted
ICDE
2008
IEEE
182views Database» more  ICDE 2008»
15 years 4 months ago
Two-phase schema matching in real world relational databases
— We propose a new approach to the problem of schema matching in relational databases that merges the hybrid and composite approach of combining multiple individual matching tech...
Nikolaos Bozovic, Vasilis Vassalos
ICIA
2007
14 years 12 months ago
Learning Interaction between Conflicting Human Agents and Their Assistants
We build the generic methodology based on machine learning and reasoning to detect the patterns of interaction between conflicting agents, including humans and their assistants. L...
Boris Galitsky, Boris Kovalerchuk
RULEML
2004
Springer
15 years 3 months ago
Rule Learning for Feature Values Extraction from HTML Product Information Sheets
The Web is now a huge information repository with a rich semantic structure that, however, is primarily addressed to human understanding rather than automated processing by a compu...
Costin Badica, Amelia Badica