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COLING
2000
15 years 6 months ago
Learning Semantic-Level Information Extraction Rules by Type-Oriented ILP
This paper describes an approach to using semantic rcprcsentations for learning information extraction (IE) rules by a type-oriented inductire logic programming (ILl)) system. NLP...
Yutaka Sasaki, Yoshihiro Matsuo
ML
2011
ACM
308views Machine Learning» more  ML 2011»
14 years 11 months ago
Relational information gain
Abstract. Type Extension Trees (TET) have been recently introduced as an expressive representation language allowing to encode complex combinatorial features of relational entities...
Marco Lippi, Manfred Jaeger, Paolo Frasconi, Andre...
ESANN
2007
15 years 6 months ago
Causality analysis of LFPs in micro-electrode arrays based on mutual information
Since perceptual and motor processes in the brain are the result of interactions between neurons, layers and areas, a lot of attention has been directed towards the development of...
Nikolay V. Manyakov, Marc M. Van Hulle
COSIT
1999
Springer
132views GIS» more  COSIT 1999»
15 years 9 months ago
Pictorial and Verbal Tools for Conveying Routes
Traditionally, depictions and descriptions have been seen as complementary; depictions have been preferred to convey iconic or metaphorically iconic information whereas description...
Barbara Tversky, Paul U. Lee
ECML
2006
Springer
15 years 8 months ago
Graph Based Semi-supervised Learning with Sharper Edges
In many graph-based semi-supervised learning algorithms, edge weights are assumed to be fixed and determined by the data points' (often symmetric) relationships in input space...
Hyunjung Shin, N. Jeremy Hill, Gunnar Rätsch