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ISMB
1994
13 years 8 months ago
Predicting Location and Structure Of beta-Sheet Regions Using Stochastic Tree Grammars
We describe and demonstrate the effectiveness of a method of predicting protein secondary structures, sheet regions in particular, using a class of stochastic tree grammars as rep...
Hiroshi Mamitsuka, Naoki Abe
ICGI
1998
Springer
13 years 11 months ago
Meaning Helps Learning Syntax
In this paper, we propose a new framework for the computational learning of formal grammars with positive data. In this model, both syntactic and semantic information are taken int...
Isabelle Tellier
PAKDD
2007
ACM
203views Data Mining» more  PAKDD 2007»
14 years 1 months ago
Grammar Guided Genetic Programming for Flexible Neural Trees Optimization
Abstract. In our previous studies, Genetic Programming (GP), Probabilistic Incremental Program Evolution (PIPE) and Ant Programming (AP) have been used to optimal design of Flexibl...
Peng Wu, Yuehui Chen
EACL
1993
ACL Anthology
13 years 8 months ago
Using an Annotated Corpus as a Stochastic Grammar
In Data Oriented Parsing (DOP), an annotated corpus is used as a stochastic grammar. An input string is parsed by combining subtrees from the corpus. As a consequence, one parse t...
Rens Bod
COLING
2010
13 years 2 months ago
Comparing the performance of two TAG-based surface realisers using controlled grammar traversal
We present GENSEM, a tool for generating input semantic representations for two sentence generators based on the same reversible Tree Adjoining Grammar. We then show how GENSEM ca...
Claire Gardent, Benjamin Gottesman, Laura Perez-Be...