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JAIR
2008
136views more  JAIR 2008»
13 years 7 months ago
Global Inference for Sentence Compression: An Integer Linear Programming Approach
Sentence compression holds promise for many applications ranging from summarization to subtitle generation. Our work views sentence compression as an optimization problem and uses...
James Clarke, Mirella Lapata
IPM
2007
95views more  IPM 2007»
13 years 7 months ago
Using structural contexts to compress semistructured text collections
We describe a compression model for semistructured documents, called Structural Contexts Model (SCM), which takes advantage of the context information usually implicit in the stru...
Joaquín Adiego, Gonzalo Navarro, Pablo de l...
IR
2000
13 years 7 months ago
Adding Compression to Block Addressing Inverted Indexes
Inverted index compression, block addressing and sequential search on compressed text are three techniques that have been separately developed for e cient, low-overhead text retrie...
Gonzalo Navarro, Edleno Silva de Moura, Marden S. ...
CORR
2008
Springer
144views Education» more  CORR 2008»
13 years 7 months ago
Iterative Hard Thresholding for Compressed Sensing
Compressed sensing is a technique to sample compressible signals below the Nyquist rate, whilst still allowing near optimal reconstruction of the signal. In this paper we present ...
Thomas Blumensath, Mike E. Davies
ESA
2009
Springer
143views Algorithms» more  ESA 2009»
14 years 1 months ago
On Optimally Partitioning a Text to Improve Its Compression
In this paper we investigate the problem of partitioning an input string T in such a way that compressing individually its parts via a basecompressor C gets a compressed output th...
Paolo Ferragina, Igor Nitto, Rossano Venturini