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COLING
1992
13 years 8 months ago
Word-Sense Disambiguation Using Statistical Models of Roget's Categories Trained on Large Corpora
This paper describes a program that disambignates English word senses in unrestricted text using statistical models of the major Roget's Thesaurus categories. Roget's ca...
David Yarowsky
EWCBR
2006
Springer
13 years 11 months ago
Case-Based Reasoning for Knowledge-Intensive Template Selection During Text Generation
The present paper describes a case-based reasoning solution for solving the task of selecting adequate templates for realizing messages describing actions in a given domain. This s...
Raquel Hervás, Pablo Gervás
AAAI
2008
13 years 9 months ago
Concept-Based Feature Generation and Selection for Information Retrieval
Traditional information retrieval systems use query words to identify relevant documents. In difficult retrieval tasks, however, one needs access to a wealth of background knowled...
Ofer Egozi, Evgeniy Gabrilovich, Shaul Markovitch
AGENTS
2000
Springer
13 years 11 months ago
A knowledge-based approach for designing intelligent team training systems
This paper presents a knowledge approach to designing team training systems using intelligent agents. We envision a computer-based training system in which teams are trained by pu...
Jianwen Yin, Michael S. Miller, Thomas R. Ioerger,...
ISMB
1993
13 years 8 months ago
Knowledge-Based Generation of Machine-Learning Experiments: Learning with DNA Crystallography Data
Thoughit has been possible in the past to learn to predict DNAhydration patterns from crystallographic data, there is ambiguity in the choice of training data (both in terms of th...
Dawn M. Cohen, Casimir A. Kulikowski, Helen Berman