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GECCO
2004
Springer
100views Optimization» more  GECCO 2004»
13 years 11 months ago
A Genetic Algorithm to Improve Agent-Oriented Natural Language Interpreters
Babak Hodjat, Junichi Ito, Makoto Amamiya
GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
13 years 10 months ago
Studying the Advantages of a Messy Evolutionary Algorithm for Natural Language Tagging
The process of labeling each word in a sentence with one of its lexical categories (noun, verb, etc) is called tagging and is a key step in parsing and many other language processi...
Lourdes Araujo
NLP
2000
13 years 9 months ago
Enhancing Preference-Based Anaphora Resolution with Genetic Algorithms
Abstract. The paper argues that a promising way to improve the success rate of preference-based anaphora resolution algorithms is the use of machine learning. The paper outlines MA...
Constantin Orasan, Richard Evans, Ruslan Mitkov
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
13 years 11 months ago
Use of a genetic algorithm in brill's transformation-based part-of-speech tagger
The tagging problem in natural language processing is to find a way to label every word in a text as a particular part of speech, e.g., proper noun. An effective way of solving th...
Garnett Carl Wilson, Malcolm I. Heywood
CG
2004
Springer
13 years 5 months ago
Procedural 3D texture synthesis using genetic programming
The automatic synthesis of procedural textures for 3D surfaces using genetic programming is investigated. Genetic algorithms employ a search strategy inspired by Darwinian natural...
Adam Hewgill, Brian J. Ross