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NAACL
2003
13 years 10 months ago
A Generative Probabilistic OCR Model for NLP Applications
In this paper, we introduce a generative probabilistic optical character recognition (OCR) model that describes an end-to-end process in the noisy channel framework, progressing f...
Okan Kolak, William J. Byrne, Philip Resnik
BMCBI
2007
143views more  BMCBI 2007»
13 years 9 months ago
An adaptive bin framework search method for a beta-sheet protein homopolymer model
Background: The problem of protein structure prediction consists of predicting the functional or native structure of a protein given its linear sequence of amino acids. This probl...
Alena Shmygelska, Holger H. Hoos
IDA
2010
Springer
13 years 10 months ago
A Framework for Path-Oriented Network Simplification
Abstract. We propose a generic framework and methods for simplification of large networks. The methods can be used to improve the understandability of a given network, to complemen...
Hannu Toivonen, Sébastien Mahler, Fang Zhou
SAC
2005
ACM
14 years 2 months ago
LighTS: a lightweight, customizable tuple space supporting context-aware applications
The tuple space model inspired by Linda has recently been rediscovered by distributed middleware. Moreover, some researchers also applied it in the challenging scenarios involving...
Gian Pietro Picco, Davide Balzarotti, Paolo Costa
ACL
2006
13 years 10 months ago
A Pipeline Framework for Dependency Parsing
Pipeline computation, in which a task is decomposed into several stages that are solved sequentially, is a common computational strategy in natural language processing. The key pr...
Ming-Wei Chang, Quang Do, Dan Roth