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» Learning Rule Representations from Boolean Data
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78
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LREC
2008
125views Education» more  LREC 2008»
15 years 1 months ago
Adaptation of Relation Extraction Rules to New Domains
This paper presents various strategies for improving the extraction performance of less prominent relations with the help of the rules learned for similar relations, for which lar...
Feiyu Xu, Hans Uszkoreit, Hong Li, Niko Felger
101
Voted
ECML
2007
Springer
15 years 6 months ago
Exploiting Term, Predicate, and Feature Taxonomies in Propositionalization and Propositional Rule Learning
Knowledge representations using semantic web technologies often provide information which translates to explicit term and predicate taxonomies in relational learning. We show how t...
Monika Záková, Filip Zelezný
107
Voted
DAGSTUHL
2007
15 years 1 months ago
Learning Probabilistic Relational Dynamics for Multiple Tasks
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer...
SAT
2009
Springer
158views Hardware» more  SAT 2009»
15 years 7 months ago
Beyond CNF: A Circuit-Based QBF Solver
State-of-the-art solvers for Quantified Boolean Formulas (QBF) have employed many techniques from the field of Boolean Satisfiability (SAT) including the use of Conjunctive Norm...
Alexandra Goultiaeva, Vicki Iverson, Fahiem Bacchu...
101
Voted
DEBU
2000
95views more  DEBU 2000»
15 years 9 days ago
Accurately and Reliably Extracting Data from the Web: A Machine Learning Approach
A critical problem in developing information agents for the Web is accessing data that is formatted for human use. We have developed a set of tools for extracting data from web si...
Craig A. Knoblock, Kristina Lerman, Steven Minton,...