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» Machine Learning for Information Extraction
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CI
2000
55views more  CI 2000»
13 years 8 months ago
Applying Machine Learning for High-Performance Named-Entity Extraction
Shumeet Baluja, Vibhu O. Mittal, Rahul Sukthankar
ICAIL
2005
ACM
14 years 2 months ago
Automatic Legal Text Summarisation: Experiments with Summary Structuring
We describe a set of experiments using machine learning techniques for the task of extractive summarisation. The research is part of a summarisation project for which we use a cor...
Ben Hachey, Claire Grover
ICALT
2009
IEEE
14 years 3 months ago
Concept Extraction from Student Essays, Towards Concept Map Mining
This paper presents a new approach for automatic concept extraction, using grammatical parsers and Latent Semantic Analysis. The methodology and tool used to build the benchmarkin...
Jorge J. Villalón, Rafael A. Calvo
CIKM
2005
Springer
14 years 2 months ago
A hybrid approach to NER by MEMM and manual rules
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
Moshe Fresko, Binyamin Rosenfeld, Ronen Feldman