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» Unsupervised Natural Language Processing Using Graph Models
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EACL
2006
ACL Anthology
13 years 9 months ago
Unsupervised Discovery of Persian Morphemes
This paper reports the present results of a research on unsupervised Persian morpheme discovery. In this paper we present a method for discovering the morphemes of Persian languag...
Mohsen Arabsorkhi, Mehrnoush Shamsfard
NLPRS
2001
Springer
14 years 5 days ago
A Hierarchical EM Approach to Word Segmentation
We propose a simple two-level hierarchical probability model for unsupervised word segmentation. By treating words as strings composed of morphemes/phonemes which are themselves c...
Fuchun Peng, Dale Schuurmans
ICASSP
2011
IEEE
12 years 11 months ago
Deep belief nets for natural language call-routing
This paper considers application of Deep Belief Nets (DBNs) to natural language call routing. DBNs have been successfully applied to a number of tasks, including image, audio and ...
Ruhi Sarikaya, Geoffrey E. Hinton, Bhuvana Ramabha...
ICWSM
2008
13 years 9 months ago
Predicting Success and Failure in Weight Loss Blogs through Natural Language Use
We explore the emerging phenomenon of blogging about personal goals, and demonstrate how natural language processing tools can be used to uncover psychologically meaningful constr...
Cindy K. Chung, Clinton Jones, Alexander Liu, Jame...
UML
2001
Springer
14 years 5 days ago
An Execution Algorithm for UML Activity Graphs
We present a real-time execution semantics for UML activity graphs that is intended for workflow modelling. The semantics is defined in terms of execution algorithms that define...
Rik Eshuis, Roel Wieringa