Information Processing and Management: an International Journal
Machine Learning
The origins of syntax in visually grounded robotic agents
Artificial Intelligence - Special issue: artificial intelligence 40 years later
Forgetting Exceptions is Harmful in Language Learning
Machine Learning - Special issue on natural language learning
A Parallel Evolutionary Algorithm for Stochastic Natural Language Parsing
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Learning language using genetic algorithms
Connectionist, Statistical, and Symbolic Approaches to Learning for Natural Language Processing
Discovery of linguistic relations using lexical attraction
Discovery of linguistic relations using lexical attraction
Head-driven statistical models for natural language parsing
Head-driven statistical models for natural language parsing
An agent-based evolutionary computing approach to memory-based syntactic parsing of natural language
An agent-based evolutionary computing approach to memory-based syntactic parsing of natural language
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Improving accuracy in word class tagging through the combination of machine learning systems
Computational Linguistics
Bagging and boosting a treebank parser
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Aspects of pattern-matching in Data-Oriented Parsing
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Applying system combination to base noun phrase identification
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Unsupervised induction of stochastic context-free grammars using distributional clustering
ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
An Evolutionary Method for Natural Language to SQL Translation
SEAL '08 Proceedings of the 7th International Conference on Simulated Evolution and Learning
How evolutionary algorithms are applied to statistical natural language processing
Artificial Intelligence Review
Genetic algorithms: concepts, issues and a case study of grammar induction
Proceedings of the CUBE International Information Technology Conference
Hybrid system for handling premature convergence in GA - Case of grammar induction
Applied Soft Computing
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In this paper, an agent-based evolutionary computing technique is introduced, that is geared towards the automatic induction and optimization of grammars for natural language (grael). We outline three instantiations of the grael-environment: the grael-1 system uses large annotated corpora to bootstrap grammatical structure in a society of autonomous agents, that tries to optimally redistribute grammatical information to reflect accurate probabilistic values for the task of parsing. In grael-2, agents are allowed to mutate grammatical information, effectively implementing grammar rule discovery in a practical context. Finally, by employing a separate grammar induction module at the onset of the society, grael-3 can be used as an unsupervised grammar induction technique.