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ACL
2004
13 years 8 months ago
Annealing Techniques For Unsupervised Statistical Language Learning
Exploiting unannotated natural language data is hard largely because unsupervised parameter estimation is hard. We describe deterministic annealing (Rose et al., 1990) as an appea...
Noah A. Smith, Jason Eisner
EMNLP
2006
13 years 8 months ago
Unsupervised Discovery of a Statistical Verb Lexicon
This paper demonstrates how unsupervised techniques can be used to learn models of deep linguistic structure. Determining the semantic roles of a verb's dependents is an impo...
Trond Grenager, Christopher D. Manning
IPPS
1998
IEEE
13 years 11 months ago
Multiprocessor Scheduling Using Mean-Field Annealing
This paper presents our work on the static task scheduling model using the mean-field annealing (MFA) technique. Mean-field annealing is a technique of thermostatic annealing that...
Shaharuddin Salleh, Albert Y. Zomaya
SWAP
2008
13 years 8 months ago
Combining Statistical Techniques and Lexico-syntactic Patterns for Semantic Relations Extraction from Text
We describe here a methodology to combine two different techniques for Semantic Relation Extraction from texts. On the one hand, generic lexicosyntactic patterns are applied to the...
Emiliano Giovannetti, Simone Marchi, Simonetta Mon...
CORR
2007
Springer
170views Education» more  CORR 2007»
13 years 7 months ago
The structure of verbal sequences analyzed with unsupervised learning techniques
Data mining allows the exploration of sequences of phenomena, whereas one usually tends to focus on isolated phenomena or on the relation between two phenomena. It offers invaluab...
Catherine Recanati, Nicoleta Rogovschi, Youn&egrav...