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NAACL
2010
13 years 6 months ago
Model Combination for Machine Translation
Machine translation benefits from two types of decoding techniques: consensus decoding over multiple hypotheses under a single model and system combination over hypotheses from di...
John DeNero, Shankar Kumar, Ciprian Chelba, Franz ...
KES
2005
Springer
14 years 2 months ago
An OCR Post-processing Approach Based on Multi-knowledge
This paper proposes an OCR post-processing approach based on multi-knowledge, which integrates language knowledge and candidate distance information given by the OCR engine. In thi...
Li Zhuang, Xiaoyan Zhu
CICLING
2010
Springer
13 years 8 months ago
A Distributional Semantics Approach to Simultaneous Recognition of Multiple Classes of Named Entities
Named Entity Recognition and Classification is being studied for last two decades. Since semantic features take huge amount of training time and are slow in inference, the existing...
Siddhartha Jonnalagadda, Robert Leaman, Trevor Coh...
ECML
2005
Springer
14 years 2 months ago
Error-Sensitive Grading for Model Combination
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
Surendra K. Singhi, Huan Liu
EMSOFT
2004
Springer
14 years 2 months ago
A model-based approach to integrating security policies for embedded devices
Embedded devices like smart cards can now run multiple interacting applications. A particular challenge in this domain is to dynamically integrate diverse security policies. In th...
Michael McDougall, Rajeev Alur, Carl A. Gunter