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ICDT
2010
ACM
147views Database» more  ICDT 2010»
15 years 25 days ago
Querying Parse Trees of Stochastic Context-Free Grammars
Stochastic context-free grammars (SCFGs) have long been recognized as useful for a large variety of tasks including natural language processing, morphological parsing, speech reco...
Sara Cohen, Benny Kimelfeld
LATA
2010
Springer
15 years 4 months ago
Extending Stochastic Context-Free Grammars for an Application in Bioinformatics
We extend stochastic context-free grammars such that the probability of applying a production can depend on the length of the subword that is generated from the application and sho...
Frank Weinberg, Markus E. Nebel
IJCNLP
2004
Springer
15 years 2 months ago
Iterative CKY Parsing for Probabilistic Context-Free Grammars
This paper presents an iterative CKY parsing algorithm for probabilistic contextfree grammars (PCFG). This algorithm enables us to prune unnecessary edges produced during parsing,...
Yoshimasa Tsuruoka, Jun-ichi Tsujii
ACL
1997
14 years 11 months ago
Fast Context-Free Parsing Requires Fast Boolean Matrix Multiplication
Valiant showed that Boolean matrix multiplication (BMM) can be used for CFG parsing. We prove a dual result: CFG parsers running in time O([Gl[w[3-e) on a grammar G and a string w...
Lillian Lee
CVPR
2006
IEEE
15 years 3 months ago
Recognition of Composite Human Activities through Context-Free Grammar Based Representation
This paper describes a general methodology for automated recognition of complex human activities. The methodology uses a context-free grammar (CFG) based representation scheme to ...
Michael S. Ryoo, J. K. Aggarwal