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COGSCI
2007
85views more  COGSCI 2007»
14 years 10 months ago
Semantic Boost on Episodic Associations: An Empirically-Based Computational Model
Words become associated following repeated co-occurrence episodes. This process might be further determined by the semantic characteristics of the words. The present study focused...
Yaron Silberman, Shlomo Bentin, Risto Miikkulainen
BXML
2003
14 years 11 months ago
Learning to Extract Information for the Semantic Web
Abstract: The goal of information extraction (IE) is to find desired pieces of information in natural language texts and store them in a form that is suitable for automatic queryi...
Christian Siefkes
ECCV
2010
Springer
15 years 2 months ago
Semantic Label Sharing for Learning with Many Categories
In an object recognition scenario with tens of thousands of categories, even a small number of labels per category leads to a very large number of total labels required. We propose...
ANLP
1992
116views more  ANLP 1992»
14 years 11 months ago
Automatic Learning for Semantic Collocation
The real di culty in development of practical NLP systems comes from the fact that we do not have e ective means for gathering \knowledge". In this paper, we propose an algor...
Satoshi Sekine, Jeremy J. Carroll, Sophia Ananiado...
EMNLP
2009
14 years 7 months ago
Supervised Learning of a Probabilistic Lexicon of Verb Semantic Classes
The work presented in this paper explores a supervised method for learning a probabilistic model of a lexicon of VerbNet classes. We intend for the probabilistic model to provide ...
Yusuke Miyao, Jun-ichi Tsujii