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» Learning for Semantic Parsing
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AIIA
1995
Springer
15 years 1 months ago
Learning Programs in Different Paradigms using Genetic Programming
Genetic Programming (GP) is a method of automatically inducing programs by representing them as parse trees. In theory, programs in any computer languages can be translated to par...
Man Leung Wong, Kwong-Sak Leung
ACL
2009
14 years 7 months ago
Bayesian Learning of a Tree Substitution Grammar
Tree substitution grammars (TSGs) offer many advantages over context-free grammars (CFGs), but are hard to learn. Past approaches have resorted to heuristics. In this paper, we le...
Matt Post, Daniel Gildea
ICASSP
2009
IEEE
15 years 4 months ago
Combining discriminative re-ranking and co-training for parsing Mandarin speech transcripts
Discriminative reranking has been able to significantly improve parsing performance, and co-training has proven to be an effective weakly supervised learning algorithm to bootstr...
Wen Wang
ACL
1996
14 years 11 months ago
Fast Parsing Using Pruning and Grammar Specialization
We show how a general grammar may be automatically adapted for fast parsing of utterances from a specific domain by means of constituent pruning and grammar specialization based o...
Manny Rayner, David M. Carter
ACL
2000
14 years 11 months ago
Automatic Labeling of Semantic Roles
e, the system labels constituents with either abstract semantic roles such as AGENT or PATIENT, or more domain-specific semantic roles such as SPEAKER, MESSAGE, and TOPIC. The syst...
Daniel Gildea, Daniel Jurafsky