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CEC
2010
IEEE
13 years 6 months ago
Evolving natural language grammars without supervision
Unsupervised grammar induction is one of the most difficult works of language processing. Its goal is to extract a grammar representing the language structure using texts without a...
Lourdes Araujo, Jesus Santamaria
IJCAI
2003
13 years 6 months ago
GRAEL: an agent-based evolutionary computing approach for natural language grammar development
This paper describes an agent-based evolutionary computing technique called GRAEL (Grammar Evolution), that is able to perform different natural language grammar optimization and ...
Guy De Pauw
EMNLP
2011
12 years 5 months ago
Unsupervised Dependency Parsing without Gold Part-of-Speech Tags
We show that categories induced by unsupervised word clustering can surpass the performance of gold part-of-speech tags in dependency grammar induction. Unlike classic clustering ...
Valentin I. Spitkovsky, Hiyan Alshawi, Angel X. Ch...
ICGI
2010
Springer
13 years 4 months ago
Rademacher Complexity and Grammar Induction Algorithms: What It May (Not) Tell Us
Abstract. This paper revisits a problem of the evaluation of computational grammatical inference (GI) systems and discusses what role complexity measures can play for the assessmen...
Sophia Katrenko, Menno van Zaanen
EMNLP
2009
13 years 3 months ago
A Bayesian Model of Syntax-Directed Tree to String Grammar Induction
Tree based translation models are a compelling means of integrating linguistic information into machine translation. Syntax can inform lexical selection and reordering choices and...
Trevor Cohn, Phil Blunsom