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ACL
2010
14 years 11 months ago
Evaluating Machine Translations Using mNCD
This paper introduces mNCD, a method for automatic evaluation of machine translations. The measure is based on normalized compression distance (NCD), a general information theoret...
Marcus Dobrinkat, Tero Tapiovaara, Jaakko Väy...
JMLR
2006
108views more  JMLR 2006»
15 years 1 months ago
Learning Spectral Clustering, With Application To Speech Separation
Spectral clustering refers to a class of techniques which rely on the eigenstructure of a similarity matrix to partition points into disjoint clusters, with points in the same clu...
Francis R. Bach, Michael I. Jordan
KDD
2012
ACM
281views Data Mining» more  KDD 2012»
13 years 4 months ago
Active spectral clustering via iterative uncertainty reduction
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jord...
STOC
2010
ACM
185views Algorithms» more  STOC 2010»
15 years 5 months ago
Measuring independence of datasets
Approximating pairwise, or k-wise, independence with sublinear memory is of considerable importance in the data stream model. In the streaming model the joint distribution is give...
Vladimir Braverman, Rafail Ostrovsky
MT
2007
91views more  MT 2007»
15 years 1 months ago
A method of creating new valency entries
Information on subcategorization and selectional restrictions is important for natural language processing tasks such as deep parsing, rule-based machine translation and automatic...
Sanae Fujita, Francis Bond