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» Learning and using relational theories
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ICFP
2003
ACM
14 years 10 months ago
Mechanising Hankin and Barendregt using the Gordon-Melham axioms
I describe the mechanisation in HOL of some basic -calculus theory, using the axioms proposed by Gordon and Melham [4]. Using these as a foundation, I mechanised the proofs from C...
Michael Norrish
ACL
2010
13 years 8 months ago
Learning 5000 Relational Extractors
Many researchers are trying to use information extraction (IE) to create large-scale knowledge bases from natural language text on the Web. However, the primary approach (supervis...
Raphael Hoffmann, Congle Zhang, Daniel S. Weld
ESWS
2008
Springer
13 years 11 months ago
Learning Highly Structured Semantic Repositories from Relational Databases:
Abstract. Relational databases are valuable sources for ontology learning. Methods and tools have been proposed to generate ontologies from such structured input. However, a major ...
Farid Cerbah
IS
2008
13 years 10 months ago
Mining relational data from text: From strictly supervised to weakly supervised learning
This paper approaches the relation classification problem in information extraction framework with different machine learning strategies, from strictly supervised to weakly superv...
Zhu Zhang
SEMWEB
2007
Springer
14 years 4 months ago
Learning Subsumption Relations with CSR: a Classification based Method for the Alignment of Ontologies
In this paper we propose the "Classification-Based Learning of Subsumption Relations for the Alignment of Ontologies" (CSR) method. Given a pair of concepts from two onto...
Vassilis Spiliopoulos, Alexandros G. Valarakos, Ge...