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» Machine Learning for Information Extraction

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ICCS
2005
Springer

123views Applied Computing» more ICCS 2005»

On the Need to Bootstrap Ontology Learning with Extraction Grammar Learning

14 years 26 days ago

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The main claim of this paper is that machine learning can help integrate the construction of ontologies and extraction grammars and lead us closer to the Semantic Web vision. The p...

Georgios Paliouras

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IJCAI
2003

132views Artificial Intelligence» more IJCAI 2003»

Hierarchical Hidden Markov Models for Information Extraction

13 years 8 months ago

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Information extraction can be deﬁned as the task of automatically extracting instances of speciﬁed classes or relations from text. We consider the case of using machine learni...

Marios Skounakis, Mark Craven, Soumya Ray

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ICML
2000
IEEE

155views Machine Learning» more ICML 2000»

Maximum Entropy Markov Models for Information Extraction and Segmentation

14 years 8 months ago

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Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...

Andrew McCallum, Dayne Freitag, Fernando C. N. Per...

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ALT
2008
Springer

103views Machine Learning» more ALT 2008»

Learning and Generalization with the Information Bottleneck

14 years 4 months ago