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CICLING
2008
Springer
15 years 8 months ago
A Semantics-Enhanced Language Model for Unsupervised Word Sense Disambiguation
An N-gram language model aims at capturing statistical word order dependency information from corpora. Although the concept of language models has been applied extensively to handl...
Shou-de Lin, Karin Verspoor
AAAI
2006
15 years 8 months ago
Mixtures of Predictive Linear Gaussian Models for Nonlinear, Stochastic Dynamical Systems
The Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent parame...
David Wingate, Satinder P. Singh
ACL
2006
15 years 8 months ago
Reduced n-gram Models for English and Chinese Corpora
Statistical language models should improve as the size of the n-grams increases from 3 to 5 or higher. However, the number of parameters and calculations, and the storage requirem...
Le Quan Ha, Philip Hanna, Darryl Stewart, F. Jack ...
WSC
2004
15 years 8 months ago
Fast Model-Based Penetration Testing
Traditional approaches to security evaluation have been based on penetration testing of real systems, or analysis of formal models of such systems. The former suffer from the prob...
Sankalp Singh, James Lyons, David M. Nicol
DEXAW
2010
IEEE
202views Database» more  DEXAW 2010»
15 years 7 months ago
Identifying Sentence-Level Semantic Content Units with Topic Models
Abstract--Statistical approaches to document content modeling typically focus either on broad topics or on discourselevel subtopics of a text. We present an analysis of the perform...
Leonhard Hennig, Thomas Strecker, Sascha Narr, Ern...