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» Model Combination for Machine Translation
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149
Voted
ICML
2001
IEEE
16 years 4 months ago
Learning to Select Good Title Words: An New Approach based on Reverse Information Retrieval
In this paper, we show how we can learn to select good words for a document title. We view the problem of selecting good title words for a document as a variant of an Information ...
Rong Jin, Alexander G. Hauptmann
114
Voted
ICML
2000
IEEE
16 years 4 months ago
Bayesian Averaging of Classifiers and the Overfitting Problem
Although Bayesian model averaging is theoretically the optimal method for combining learned models, it has seen very little use in machine learning. In this paper we study its app...
Pedro Domingos
121
Voted
CICLING
2004
Springer
15 years 7 months ago
Korean Compound Noun Decomposition Using Syllabic Information Only
The compound nouns are freely composed in Korean, since it is possible to concatenate independent nouns without a postposition. Therefore, the systems that handle compound nouns su...
Seong-Bae Park, Jeong Ho Chang, Byoung-Tak Zhang
COLING
2000
15 years 4 months ago
Identifying Terms by their Family and Friends
Multi-word terms are traditionally identified using statistical techniques or, more recently, using hybrid techniques combining statistics with shallow linguistic information. Al)...
Diana Maynard, Sophia Ananiadou
WM
2003
15 years 4 months ago
Ontologies in Cross-Language Information Retrieval
: We present an approach to using ontologies as interlingua in cross-language information retrieval in the medical domain. Our approach is based on using the Unified Medical Langu...
Martin Volk, Spela Vintar, Paul Buitelaar