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» Reranking and Self-Training for Parser Adaptation
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ACL
2006
14 years 11 months ago
Reranking and Self-Training for Parser Adaptation
Statistical parsers trained and tested on the Penn Wall Street Journal (WSJ) treebank have shown vast improvements over the last 10 years. Much of this improvement, however, is ba...
David McClosky, Eugene Charniak, Mark Johnson
COLING
2008
14 years 11 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
ACL
2008
14 years 11 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 7 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
ACL
2006
14 years 11 months ago
Discriminative Reranking for Semantic Parsing
Semantic parsing is the task of mapping natural language sentences to complete formal meaning representations. The performance of semantic parsing can be potentially improved by u...
Ruifang Ge, Raymond J. Mooney