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.
| ISBN: | 9783540609254 |
| Publication date: | 15th March 1996 |
| Author: | Stefan Wermter, Ellen Riloff, Gabriele Scheler |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 474 pages |
| Series: | Lecture Notes in Computer Science |
| Genres: |
Natural language and machine translation Human–computer interaction Artificial intelligence |
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.
Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing. Lecture Notes in Artificial Intelligence features in the following genres: Natural language and machine translation, Human–computer interaction, Artificial intelligence
Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing. Lecture Notes in Artificial Intelligence is available in Paperback
Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing. Lecture Notes in Artificial Intelligence was written by Stefan Wermter, Ellen Riloff, Gabriele Scheler and published by Springer an imprint of Springer Berlin Heidelberg
Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing. Lecture Notes in Artificial Intelligence has 474 pages
Yes it is part of Lecture Notes in Computer Science series