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» Learning Word Representations from Relational Graphs
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160
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SWAP
2008
15 years 5 months ago
Combining Statistical Techniques and Lexico-syntactic Patterns for Semantic Relations Extraction from Text
We describe here a methodology to combine two different techniques for Semantic Relation Extraction from texts. On the one hand, generic lexicosyntactic patterns are applied to the...
Emiliano Giovannetti, Simone Marchi, Simonetta Mon...
TIT
2008
224views more  TIT 2008»
15 years 3 months ago
Graph-Based Semi-Supervised Learning and Spectral Kernel Design
We consider a framework for semi-supervised learning using spectral decomposition-based unsupervised kernel design. We relate this approach to previously proposed semi-supervised l...
Rie Johnson, Tong Zhang
142
Voted
ICANN
2010
Springer
15 years 4 months ago
Unsupervised Learning of Relations
Learning processes allow the central nervous system to learn relationships between stimuli. Even stimuli from different modalities can easily be associated, and these associations ...
Matthew Cook, Florian Jug, Christoph Krautz, Angel...
108
Voted
ICANN
2007
Springer
15 years 9 months ago
Recursive Principal Component Analysis of Graphs
Treatment of general structured information by neural networks is an emerging research topic. Here we show how representations for graphs preserving all the information can be devi...
Alessio Micheli, Alessandro Sperduti
145
Voted
IJCAI
1997
15 years 4 months ago
Machine Learning Techniques to Make Computers Easier to Use
Identifying user-dependent information that can be automatically collected helps build a user model by which 1) to predict what the user wants to do next and 2) to do relevant pre...
Hiroshi Motoda, Kenichi Yoshida