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ACL
1998
13 years 9 months ago
Trainable, Scalable Summarization Using Robust NLP and Machine Learning
We describe a trainable and scalable summarization system which utilizes features derived from information retrieval, information extraction, and NLP techniques and on-line resour...
Chinatsu Aone, Mary Ellen Okurowski, James Gorlins...
GI
2007
Springer
14 years 1 months ago
Translation and Rotation Invariant Histogram Features for Series of Images
Abstract: Some surfaces, like metallic and varnished ones, can only be properly controlled, if they are inspected under different illumination directions. This requires a three-dim...
Ana Pérez Grassi, Fernando Puente Leó...
ISCIS
2003
Springer
14 years 27 days ago
Comparison of Feature Sets Using Multimedia Translation
Feature selection is very important for many computer vision applications. However, it is hard to find a good measure for the comparison. In this study, feature sets are compared ...
Pinar Duygulu, Özge Can Özcanli, Norman ...
ACL
2006
13 years 9 months ago
Modelling Lexical Redundancy for Machine Translation
Certain distinctions made in the lexicon of one language may be redundant when translating into another language. We quantify redundancy among source types by the similarity of th...
David Talbot, Miles Osborne
EMNLP
2009
13 years 5 months ago
The Feature Subspace Method for SMT System Combination
Recently system combination has been shown to be an effective way to improve translation quality over single machine translation systems. In this paper, we present a simple and ef...
Nan Duan, Mu Li, Tong Xiao, Ming Zhou