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IJCAI
2001

Relational Learning via Propositional Algorithms: An Information Extraction Case Study

14 years 28 days ago
Relational Learning via Propositional Algorithms: An Information Extraction Case Study
This paper develops a new paradigm for relational learning which allows for the representation and learning of relational information using propositional means. This paradigm suggests different tradeoffs than those in the traditional approach to this problem
Dan Roth, Wen-tau Yih
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2001
Where IJCAI
Authors Dan Roth, Wen-tau Yih
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