Sciweavers

30 search results - page 1 / 6
» Self-Training for Biomedical Parsing
Sort
View
65
Voted
ACL
2008
15 years 1 months ago
Self-Training for Biomedical Parsing
Parser self-training is the technique of taking an existing parser, parsing extra data and then creating a second parser by treating the extra data as further training data. Here ...
David McClosky, Eugene Charniak
EMNLP
2009
14 years 10 months ago
Self-Training PCFG Grammars with Latent Annotations Across Languages
We investigate the effectiveness of selftraining PCFG grammars with latent annotations (PCFG-LA) for parsing languages with different amounts of labeled training data. Compared to...
Zhongqiang Huang, Mary P. Harper
COLING
2008
15 years 1 months ago
When is Self-Training Effective for Parsing?
Self-training has been shown capable of improving on state-of-the-art parser performance (McClosky et al., 2006) despite the conventional wisdom on the matter and several studies ...
David McClosky, Eugene Charniak, Mark Johnson
EMNLP
2010
14 years 10 months ago
Self-Training with Products of Latent Variable Grammars
We study self-training with products of latent variable grammars in this paper. We show that increasing the quality of the automatically parsed data used for self-training gives h...
Zhongqiang Huang, Mary P. Harper, Slav Petrov
128
Voted
ACL
2011
14 years 3 months ago
A Bayesian Model for Unsupervised Semantic Parsing
We propose a non-parametric Bayesian model for unsupervised semantic parsing. Following Poon and Domingos (2009), we consider a semantic parsing setting where the goal is to (1) d...
Ivan Titov, Alexandre Klementiev