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IJCAI
2001
15 years 4 months ago
Representing Sentence Structure in Hidden Markov Models for Information Extraction
We study the application of Hidden Markov Models (HMMs) to learning information extractors for
Soumya Ray, Mark Craven
FSS
2008
110views more  FSS 2008»
15 years 3 months ago
Learning valued preference structures for solving classification problems
This paper introduces a new approach to classification which combines pairwise decomposition techniques with ideas and tools from fuzzy preference modeling. More specifically, our...
Eyke Hüllermeier, Klaus Brinker
COLING
2010
14 years 10 months ago
Comparison of different algebras for inducing the temporal structure of texts
This paper investigates the impact of using different temporal algebras for learning temporal relations between events. Specifically, we compare three intervalbased algebras: Alle...
Pascal Denis, Philippe Muller
FLAIRS
2003
15 years 4 months ago
Minimal Text Structuring to Improve the Generation of Feedback in Intelligent Tutoring Systems
The goal of our work is to improve the Natural Language feedback provided by Intelligent Tutoring Systems. In this paper, we discuss how to make the content presented by one such ...
Susan M. Haller, Barbara Di Eugenio
ER
2007
Springer
99views Database» more  ER 2007»
15 years 9 months ago
VERT: A Semantic Approach for Content Search and Content Extraction in XML Query Processing
Processing a twig pattern query in XML document includes structural search and content search. Most existing algorithms only focus on structural search. They treat content nodes th...
Huayu Wu, Tok Wang Ling, Bo Chen