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COLING
2010
14 years 6 months ago
Unsupervised Discriminative Language Model Training for Machine Translation using Simulated Confusion Sets
An unsupervised discriminative training procedure is proposed for estimating a language model (LM) for machine translation (MT). An English-to-English synchronous context-free gra...
Zhifei Li, Ziyuan Wang, Sanjeev Khudanpur, Jason E...
ICIP
2009
IEEE
14 years 9 months ago
An attention model for extracting components that merit identification
Cognitive systems are trained to recognise perceptually meaningful parts of an image. These regions contain some variation, i.e. local texture, and are roughly convex. We call suc...
Mohammad Jahangiri, Maria Petrou
FMSB
2008
129views Formal Methods» more  FMSB 2008»
15 years 1 months ago
Rule-Based Modelling, Symmetries, Refinements
Rule-based modelling is particularly effective for handling the highly combinatorial aspects of cellular signalling. The dynamics is described in terms of interactions between part...
Vincent Danos, Jérôme Feret, Walter F...
CICLING
2003
Springer
15 years 4 months ago
Starting with Complex Primitives Pays Off
In setting up a formal system to specify a grammar formalism, the conventional (mathematical) wisdom is to start with primitives (basic primitive structures) as simple as possible...
Aravind K. Joshi
CIKM
2008
Springer
15 years 24 days ago
Social tags: meaning and suggestions
This paper aims to quantify two common assumptions about social tagging: (1) that tags are “meaningful” and (2) that the tagging process is influenced by tag suggestions. For...
Fabian M. Suchanek, Milan Vojnovic, Dinan Gunaward...