Semi-Supervised Learning and Domain Adaptation in Natural Language Processing.pdf

Semi-Supervised Learning and Domain Adaptation in Natural Language Processing PDF

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TAILLE DU FICHIER 9.22 MB
ISBN 9781608459858
AUTEUR Anders Sogard
FICHIER Semi-Supervised Learning and Domain Adaptation in Natural Language Processing.pdf
DATE 04/02/2020

Domain Adaptation with Structural Correspondence Learning Domain Adaptation with Structural Correspondence Learning John Blitzer Ryan McDonald Fernando Pereira fblitzer|ryantm|[email protected] Department of Computer and Information Science, University of Pennsylvania 3330 Walnut Street, Philadelphia, PA 19104, USA Abstract Discriminative learning methods are widely used in natural language process-ing. These methods work best when …