Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing
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Beschreibung
This book is based on the workshop on New Approaches to Learning for Natural Language Processing, held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI'95, in Montreal, Canada in August 1995.
Most of the 32 papers included in the book are revised selected workshop presentations; some papers were individually solicited from members of the workshop program committee to give the book an overall completeness. Also included, and written with the novice reader in mind, is a comprehensive introductory survey by the volume editors. The volume presents the state of the art in the most promising current approaches to learning for NLP and is thus compulsory reading for researchers in the field or for anyone applying the new techniques to challenging real-world NLP problems.
Autor*in
Stefan Wermter
Themen in »Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing«
Algorithmisches Lernen Computational Learning Grammatical Inferenz Grammatische Inferenz Learning Algorithms Lern-Algorithmen Maschinelles Lernen Natural Language Procerssing artificial intelligence cognition genetic algorithms intelligence learning machine learning machine translation