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NAACL
2007
15 years 8 months ago
Applying Many-to-Many Alignments and Hidden Markov Models to Letter-to-Phoneme Conversion
Letter-to-phoneme conversion generally requires aligned training data of letters and phonemes. Typically, the alignments are limited to one-to-one alignments. We present a novel t...
Sittichai Jiampojamarn, Grzegorz Kondrak, Tarek Sh...
NAACL
2001
15 years 8 months ago
A Probabilistic Earley Parser as a Psycholinguistic Model
In human sentence processing, cognitive load can be defined many ways. This report considers a definition of cognitive load in terms of the total probability of structural options...
John Hale
COGSCI
2010
160views more  COGSCI 2010»
15 years 7 months ago
Comprehension of Simple Quantifiers: Empirical Evaluation of a Computational Model
We examine the verification of simple quantifiers in natural language from a computational model perspective. We refer to previous neuropsychological investigations of the same pr...
Jakub Szymanik, Marcin Zajenkowski
195
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IJCBDD
2011
112views more  IJCBDD 2011»
15 years 1 months ago
A novel network model identified a 13-gene lung cancer prognostic signature
: This study presents a novel network methodology to identify prognostic gene signatures. Implication networks based on prediction logic are used to construct genome-wide coexpress...
Nancy Lan Guo, Ying-Wooi Wan, Swetha Bose, James D...
ILP
2000
Springer
15 years 10 months ago
Bayesian Logic Programs
First-order probabilistic models are recognized as efficient frameworks to represent several realworld problems: they combine the expressive power of first-order logic, which serv...
Kristian Kersting, Luc De Raedt