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» Combining Logic and Machine Learning for Answering Questions
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TREC
2003
13 years 9 months ago
AnswerFinder in TREC 2003
In this our first participation in TREC we have focused on the passage task of the question answering track. The main aim of our participation was to test the impact of various t...
Diego Mollá Aliod
ICML
1994
IEEE
13 years 11 months ago
Combining Top-down and Bottom-up Techniques in Inductive Logic Programming
This paper describes a new methodfor inducing logic programs from examples which attempts to integrate the best aspects of existingILP methodsintoa singlecoherent framework. In pa...
John M. Zelle, Raymond J. Mooney, Joshua B. Konvis...
ILP
2007
Springer
14 years 1 months ago
Combining Clauses with Various Precisions and Recalls to Produce Accurate Probabilistic Estimates
Statistical Relational Learning (SRL) combines the benefits of probabilistic machine learning approaches with complex, structured domains from Inductive Logic Programming (ILP). W...
Mark Goadrich, Jude W. Shavlik
ALT
2009
Springer
14 years 4 months ago
Average-Case Active Learning with Costs
Abstract. We analyze the expected cost of a greedy active learning algorithm. Our analysis extends previous work to a more general setting in which different queries have differe...
Andrew Guillory, Jeff A. Bilmes
ICALT
2008
IEEE
14 years 2 months ago
Glosser: Enhanced Feedback for Student Writing Tasks
We describe Glosser, a system that supports students in writing essays by 1) scaffolding their reflection with trigger questions, and 2) using text mining techniques to provide co...
Jorge J. Villalón, Paul Kearney, Rafael A. ...