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GECCO
2004
Springer
100views Optimization» more  GECCO 2004»
14 years 1 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»
14 years 26 days 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 11 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»
14 years 1 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 7 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