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CIMCA
2005
IEEE
13 years 10 months ago
Improving Rule Generation Precision for Domain Knowledge based Wrappers
Wrappers play an important role in extracting specified information from various sources. Wrapper rules by which information is extracted are often created from the domain-specifi...
Chang-Hoo Jeong, Sung-Jin Jhun, Myung-Eun Lim, Sun...
COLING
2010
12 years 11 months ago
Boosting Relation Extraction with Limited Closed-World Knowledge
This paper presents a new approach to improving relation extraction based on minimally supervised learning. By adding some limited closed-world knowledge for confidence estimation...
Feiyu Xu, Hans Uszkoreit, Sebastian Krause, Hong L...
IDA
2006
Springer
13 years 4 months ago
Backward chaining rule induction
Exploring the vast number of possible feature interactions in domains such as gene expression microarray data is an onerous task. We describe Backward-Chaining Rule Induction (BCR...
Douglas H. Fisher, Mary E. Edgerton, Zhihua Chen, ...
AIPS
2010
13 years 5 months ago
Iterative Learning of Weighted Rule Sets for Greedy Search
Greedy search is commonly used in an attempt to generate solutions quickly at the expense of completeness and optimality. In this work, we consider learning sets of weighted actio...
Yuehua Xu, Alan Fern, Sung Wook Yoon
JIISIC
2001
13 years 6 months ago
Knowledge Component of a Multiagent Distributed Decision Support System
We have developed a distributed DSS capable to working in a dynamic way. That is, when a domain of an organization needs a new kind of information, the system looks for this infor...
Georgina Stegmayer, María Laura Caliusco, O...