149 search results - page 12 / 30 » Language Learning from Stochastic Input |
72
Voted
EMNLP
2009
14 years 7 months ago
2009
Methods that learn from prior information about input features such as generalized expectation (GE) have been used to train accurate models with very little effort. In this paper,...
NIPS
1998
14 years 11 months ago
1998
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
AI
2007
Springer
14 years 9 months ago
2007
Springer
AI planning requires the definition of action models using a formal action and plan description language, such as the standard Planning Domain Definition Language (PDDL), as inp...
EMNLP
2010
14 years 7 months ago
2010
In many NLP systems, there is a unidirectional flow of information in which a parser supplies input to a semantic role labeler. In this paper, we build a system that allows inform...
LLC
2011
14 years 4 months ago
2011
Computational phonology studies sound patterns in the world’s languages from a computational perspective. This article shows that the similarities between different generative t...