Stanford Seminar - Training Classifiers with Natural Language Explanations
YouTube
60 Cours
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Aperçu
Découvrez une approche innovante de la formation des classificateurs lors du séminaire de Stanford sur "Former des classificateurs avec des explications en langage naturel". Plongez dans le monde de BabbleLabble, un cadre extraordinaire conçu pour révolutionner la formation des classificateurs en utilisant des explications en langage naturel fournies par les annotateurs. Cette technique permet de convertir les explications en fonctions d'étiquetage programmatiques grâce à un analyseur sémantique, facilitant la génération de labels bruyants à partir d'un vaste ensemble de données non étiquetées. L'efficacité de cette méthode est démontrée par son application dans trois tâches d'extraction de relations, montrant que les classificateurs peuvent être formés 5 à 100 fois plus rapidement par rapport aux méthodes d'étiquetage traditionnelles. De plus, ce processus atteint remarquablement des scores F1 comparables, prouvant l'efficacité de la méthode malgré les imperfections inhérentes aux fonctions d'étiquetage et la simplicité de l'analyseur sémantique basé sur des règles utilisé. Pour ceux intéressés par les résultats détaillés, le document complet est accessible à https://arxiv.org/abs/1805.03818. Ce séminaire est incontournable pour les passionnés et les professionnels de l'Apprentissage Automatique et du Traitement Automatique du Langage Naturel (TALN), proposé par l'Université Stanford et disponible sur YouTube.