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EMMCVPR
2007
Springer
15 years 11 months ago
Decomposing Document Images by Heuristic Search
Abstract. Document decomposition is a basic but crucial step for many document related applications. This paper proposes a novel approach to decompose document images into zones. I...
Dashan Gao, Yizhou Wang
ECAI
2008
Springer
15 years 6 months ago
An Analysis of Bayesian Network Model-Approximation Techniques
Abstract. Two approaches have been used to perform approximate inference in Bayesian networks for which exact inference is infeasible: employing an approximation algorithm, or appr...
Adamo Santana, Gregory M. Provan
ACL
2007
15 years 6 months ago
Sparse Information Extraction: Unsupervised Language Models to the Rescue
Even in a massive corpus such as the Web, a substantial fraction of extractions appear infrequently. This paper shows how to assess the correctness of sparse extractions by utiliz...
Doug Downey, Stefan Schoenmackers, Oren Etzioni
AAAI
2010
15 years 6 months ago
Active Inference for Collective Classification
Labeling nodes in a network is an important problem that has seen a growing interest. A number of methods that exploit both local and relational information have been developed fo...
Mustafa Bilgic, Lise Getoor
COLING
2008
15 years 6 months ago
A Local Alignment Kernel in the Context of NLP
This paper discusses local alignment kernels in the context of the relation extraction task. We define a local alignment kernel based on the Smith-Waterman measure as a sequence s...
Sophia Katrenko, Pieter W. Adriaans