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ICLP
2010
Springer
13 years 11 months ago
Improving the Efficiency of Gibbs Sampling for Probabilistic Logical Models by Means of Program Specialization
Abstract. There is currently a large interest in probabilistic logical models. A popular algorithm for approximate probabilistic inference with such models is Gibbs sampling. From ...
Daan Fierens
FLAIRS
2007
13 years 10 months ago
Prioritized Reasoning in Logic Programming
This work addresses the issue of prioritized reasoning in the context of logic programming. The case of preference conditions involving atoms is considered and a refinement of th...
Luciano Caroprese, Irina Trubitsyna, Ester Zumpano
ECAI
2008
Springer
13 years 10 months ago
Belief Revision through Forgetting Conditionals in Conditional Probabilistic Logic Programs
Abstract. In this paper, we present a revision strategy of revising a conditional probabilistic logic program (PLP) when new information is received (which is in the form of probab...
Anbu Yue, Weiru Liu
ACL
2008
13 years 9 months ago
An Entity-Mention Model for Coreference Resolution with Inductive Logic Programming
The traditional mention-pair model for coreference resolution cannot capture information beyond mention pairs for both learning and testing. To deal with this problem, we present ...
Xiaofeng Yang, Jian Su, Jun Lang, Chew Lim Tan, Ti...
LREC
2010
144views Education» more  LREC 2010»
13 years 9 months ago
Inferring Syntactic Rules for Word Alignment through Inductive Logic Programming
This paper presents and evaluates an original approach to automatically align bitexts at the word level. It relies on a syntactic dependency analysis of the source and target text...
Sylwia Ozdowska, Vincent Claveau