A Genetic Programming Experiment in Natural Language Grammar Engineering

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{conf/tsd/Junczys-Dowmunt12a,

• author = "Marcin Junczys-Dowmunt",
• title = "A Genetic Programming Experiment in Natural Language Grammar Engineering",
• booktitle = "Proceedings of the 15th International Conference on Text, Speech and Dialogue, TSD 2012",
• year = "2012",
• editor = "Petr Sojka and Ales Horak and Ivan Kopecek and Karel Pala",
• volume = "7499",
• series = "Lecture Notes in Computer Science",
• pages = "336--344",
• address = "Brno, Czech Republic",
• month = sep # " 3-7",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, NLP, Shallow parsing natural language grammar engineering, treebank",
• isbn13 = "978-3-642-32789-6",
• DOI = "doi:10.1007/978-3-642-32790-2_41",
• bibdate = "2012-08-11",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/tsd/tsd2012.html#Junczys-Dowmunt12a",
• size = "9 pages",
• abstract = "This paper describes an experiment in grammar engineering for a shallow syntactic parser using Genetic Programming and a treebank. The goal of the experiment is to improve the Parseval score of a previously manually created seed grammar. We illustrate the adaptation of the Genetic Programming paradigm to the problem of grammar engineering. The used genetic operators are described. The performance of the evolved grammar after 1,000 generations on an unseen test set is improved by 2.7 points F-score (3.7 points on the training set). Despite the large number of generations no overfitting effect is observed.",
• notes = "Variable arity genetic operators. French treebank 15000 for training 6000 heldout. max grammar size 25000 nodes",

}

Genetic Programming entries for Marcin Junczys-Dowmunt

Citations