The Omphalos Context-Free Grammar Learning Competition
Identifieur interne : 00A835 ( Main/Exploration ); précédent : 00A834; suivant : 00A836The Omphalos Context-Free Grammar Learning Competition
Auteurs : Bradford Starkie [Australie] ; François Coste [France] ; Menno Van Zaanen [Pays-Bas]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2004.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Intelligence artificielle.
English descriptors
- KwdEn :
- Algorithm, Artificial intelligence, Benchmark inference problems, Benchmark problems, Bradford starkie, Bruteforcelearner, Bruteforcelearner algorithm, Candidate grammars, Center recursion, Competition problems, Competition task, Competition tasks, Complexity measure, Context free grammar, Context free language, Derivation trees, Deterministic languages, Distance measure, Equal number, Erik tjong, Evaluation approach, Grammar, Grammatical, Grammatical inference, Grammatical inference algorithms, Grammatical inference problems, Grammatical inference systems, Indicative measure, Inference algorithms, Inference problems, International colloquium, Joan andreu, Lecture notes, Longest sentence, Main disadvantage, Menno, More task, Negative data, Negative examples, Negative sentences, Omphalos, Omphalos competition, Omphalos grammar, Pages berlin heidelberg, Polynomial time, Positive data, Positive examples, Positive sentences, Previous section, Regular approximation, Regular approximations, Regular language, Right hand side, Statistical distribution, Suitable measure, Target grammar, Target grammars, Target language, Telstra research laboratories, Test data, Test examples, Test sentence, Test sentences, Test sets, Testing sets, Training data, Training examples, Training sentences, Training sets, Unseen examples, Unstructured data, Zaanen.
- Teeft :
- Algorithm, Benchmark inference problems, Benchmark problems, Bradford starkie, Bruteforcelearner, Bruteforcelearner algorithm, Candidate grammars, Center recursion, Competition problems, Competition task, Competition tasks, Complexity measure, Derivation trees, Deterministic languages, Distance measure, Equal number, Erik tjong, Evaluation approach, Grammar, Grammatical, Grammatical inference, Grammatical inference algorithms, Grammatical inference problems, Grammatical inference systems, Indicative measure, Inference algorithms, Inference problems, International colloquium, Joan andreu, Lecture notes, Longest sentence, Main disadvantage, Menno, More task, Negative data, Negative examples, Negative sentences, Omphalos, Omphalos competition, Omphalos grammar, Pages berlin heidelberg, Polynomial time, Positive data, Positive examples, Positive sentences, Previous section, Regular approximation, Regular approximations, Regular language, Right hand side, Statistical distribution, Suitable measure, Target grammar, Target grammars, Target language, Telstra research laboratories, Test data, Test examples, Test sentence, Test sentences, Test sets, Testing sets, Training data, Training examples, Training sentences, Training sets, Unseen examples, Unstructured data, Zaanen.
Abstract
Abstract: This paper describes the Omphalos Context-Free Grammar Learning Competition held as part of the International Colloquium on Grammatical Inference 2004. The competition was created in an effort to promote the development of new and better grammatical inference algorithms for context-free languages, to provide a forum for the comparison of different grammatical inference algorithms and to gain insight into the current state-of-the-art of context-free grammatical inference algorithms. This paper discusses design issues and decisions made when creating the competition. It also includes a new measure of the complexity of inferring context-free grammars, used to rank the competition problems.
Url:
DOI: 10.1007/978-3-540-30195-0_3
Affiliations:
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<front><div type="abstract" xml:lang="en">Abstract: This paper describes the Omphalos Context-Free Grammar Learning Competition held as part of the International Colloquium on Grammatical Inference 2004. The competition was created in an effort to promote the development of new and better grammatical inference algorithms for context-free languages, to provide a forum for the comparison of different grammatical inference algorithms and to gain insight into the current state-of-the-art of context-free grammatical inference algorithms. This paper discusses design issues and decisions made when creating the competition. It also includes a new measure of the complexity of inferring context-free grammars, used to rank the competition problems.</div>
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