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» Unsupervised Natural Language Processing Using Graph Models
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NIPS
2008
15 years 3 months ago
Natural Image Denoising with Convolutional Networks
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
Viren Jain, H. Sebastian Seung
99
Voted
UML
2005
Springer
15 years 7 months ago
UML4SPM: A UML2.0-Based Metamodel for Software Process Modelling
In the context of Model Driven Development, models play a central role. Since models can nowadays be executed, they are used not only for description but also for production [32][3...
Reda Bendraou, Marie-Pierre Gervais, Xavier Blanc
156
Voted
EMNLP
2010
15 years 6 days ago
Cross Language Text Classification by Model Translation and Semi-Supervised Learning
In this paper, we introduce a method that automatically builds text classifiers in a new language by training on already labeled data in another language. Our method transfers the...
Lei Shi, Rada Mihalcea, Mingjun Tian
CLEF
2009
Springer
15 years 3 months ago
Simulating Morphological Analyzers with Stochastic Taggers for Confidence Estimation
We propose a method for providing stochastic confidence estimates for rule-based and black-box natural language (NL) processing systems. Our method does not require labeled trainin...
Christian Monson, Kristy Hollingshead, Brian Roark
115
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Rapid phonetic transcription using everyday life natural Chat Alphabet orthography for dialectal Arabic speech recognition
We propose the Arabic Chat Alphabet (ACA) as naturally written in everyday life for dialectal Arabic speech transcription. Our assumption is that ACA is a natural language that in...
Mohamed Elmahdy, Rainer Gruhn, Slim Abdennadher, W...