Open AccessBoosting for Efficient Model Selection for Syntactic Parsing
Author(s) -
Rachel Bawden,
Benoît Crabbé
Publication year - 2016
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - Uncategorized
Resource type - Conference proceedings
Subject(s) - boosting (machine learning) , parsing , computer science , artificial intelligence , template , selection (genetic algorithm) , heuristic , feature selection , natural language processing , machine learning , programming language
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