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NAACL
2004
13 years 11 months ago
Training Tree Transducers
Many probabilistic models for natural language are now written in terms of hierarchical tree structure. Tree-based modeling still lacks many of the standard tools taken for grante...
Jonathan Graehl, Kevin Knight
JMLR
2010
160views more  JMLR 2010»
13 years 4 months ago
Neural conditional random fields
We propose a non-linear graphical model for structured prediction. It combines the power of deep neural networks to extract high level features with the graphical framework of Mar...
Trinh Minh Tri Do, Thierry Artières
QEST
2010
IEEE
13 years 7 months ago
Automatic Compositional Reasoning for Probabilistic Model Checking of Hardware Designs
Adaptive techniques like voltage and frequency scaling, process variations and the randomness of input data contribute signi cantly to the statistical aspect of contemporary hardwa...
Jayanand Asok Kumar, Shobha Vasudevan
ITA
2006
13 years 9 months ago
Probabilistic models for pattern statistics
In this work we study some probabilistic models for the random generation of words over a given alphabet used in the literature in connection with pattern statistics. Our goal is t...
Massimiliano Goldwurm, Roberto Radicioni
COLING
2002
13 years 9 months ago
A New Probabilistic Model for Title Generation
Title generation is a complex task involving both natural language understanding and natural language synthesis. In this paper, we propose a new probabilistic model for title gene...
Rong Jin, Alexander G. Hauptmann