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CORR
2011
Springer
222views Education» more  CORR 2011»
14 years 8 months ago
Weakly Supervised Learning of Foreground-Background Segmentation using Masked RBMs
Abstract. We propose an extension of the Restricted Boltzmann Machine (RBM) that allows the joint shape and appearance of foreground objects in cluttered images to be modeled indep...
Nicolas Heess, Nicolas Le Roux, John M. Winn
LREC
2008
155views Education» more  LREC 2008»
15 years 6 months ago
Using Reordering in Statistical Machine Translation based on Alignment Block Classification
Statistical Machine Translation (SMT) is based on alignment models which learn from bilingual corpora the word correspondences between source and target language. These models are...
Marta R. Costa-Jussà, José A. R. Fon...
151
Voted
EMNLP
2004
15 years 6 months ago
Automatic Paragraph Identification: A Study across Languages and Domains
In this paper we investigate whether paragraphs can be identified automatically in different languages and domains. We propose a machine learning approach which exploits textual a...
Caroline Sporleder, Mirella Lapata
149
Voted
LREC
2008
120views Education» more  LREC 2008»
15 years 6 months ago
The U.S. Policy Agenda Legislation Corpus Volume 1 - a Language Resource from 1947 - 1998
We introduce the corpus of United States Congressional bills from 1947 to 1998 for use by language research communities. The U.S. Policy Agenda Legislation Corpus Volume 1 (USPALC...
Stephen Purpura, John Wilkerson, Dustin Hillard
MT
2007
100views more  MT 2007»
15 years 4 months ago
Semi-supervised model adaptation for statistical machine translation
Statistical machine translation systems are usually trained on large amounts of bilingual text (used to learn a translation model), and also large amounts of monolingual text in th...
Nicola Ueffing, Gholamreza Haffari, Anoop Sarkar