Häftad, Engelska, 2021
Deep Learning and Linguistic Representation
Del i serien Chapman & Hall/CRC Machine Learning & Pattern Recognition
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Beskrivning
Produktinformation
- Utgivningsdatum: 2021-04-27
- Mått: 156 x 234 x 13 mm
- Vikt: 660 g
- Format: Häftad
- Språk: Engelska
- Serie: Chapman & Hall/CRC Machine Learning & Pattern Recognition
- Antal sidor: 168
- Förlag: Taylor & Francis Ltd
- ISBN: 9780367648749
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Mer om författaren
Shalom Lappin is Professor of Natural Language Processing at Queen Mary University of London, Professor of Computational Linguistics at the University of Gothenburg and Emeritus Professor of Computational Linguistics at King’s College London.
Recensioner i media
This book is a very timely synthesis of classical linguistics that the author has worked in for several decades and the modern revolution in NLP enabled by Deep Learning. It also asks provocative foundational questions about whether traditional grammars are the most suitable representations of linguistic structure or if we need to go beyond them.-- Devdatt Dubhashi, Professor, Chalmers UniversityDeep neural networks are having a tremendous impact on applied natural language processing. In this clearly written book, Shalom Lappin tackles the novel and exciting question of what are their implications for theories of language acquisition, representation and usage. This will be an enlightening reading for anybody interested in language from the perspectives of theoretical linguistics, cognitive science, AI and the philosophy of science.-- Marco Baroni, ICREA Research Professor, Facebook AI Research Scientist
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