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» Inferring context-free grammars for domain-specific language...
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JMLR
2010
134views more  JMLR 2010»
13 years 4 days ago
Using Contextual Representations to Efficiently Learn Context-Free Languages
We present a polynomial update time algorithm for the inductive inference of a large class of context-free languages using the paradigm of positive data and a membership oracle. W...
Alexander Clark, Rémi Eyraud, Amaury Habrar...
VL
2002
IEEE
111views Visual Languages» more  VL 2002»
13 years 10 months ago
An Interrogative Approach to Novice Programming
Domain specific programming languages tend to be rigid in capability and dependent on either a graphical interface or a scripting language. We present a question-oriented approach...
Alexander Quinn
NAACL
2007
13 years 6 months ago
Bayesian Inference for PCFGs via Markov Chain Monte Carlo
This paper presents two Markov chain Monte Carlo (MCMC) algorithms for Bayesian inference of probabilistic context free grammars (PCFGs) from terminal strings, providing an altern...
Mark Johnson, Thomas L. Griffiths, Sharon Goldwate...
JMLR
2010
192views more  JMLR 2010»
13 years 4 days ago
Inducing Tree-Substitution Grammars
Inducing a grammar from text has proven to be a notoriously challenging learning task despite decades of research. The primary reason for its difficulty is that in order to induce...
Trevor Cohn, Phil Blunsom, Sharon Goldwater
ACL
2006
13 years 6 months ago
Exact Decoding for Jointly Labeling and Chunking Sequences
There are two decoding algorithms essential to the area of natural language processing. One is the Viterbi algorithm for linear-chain models, such as HMMs or CRFs. The other is th...
Nobuyuki Shimizu, Andrew R. Haas