Deep learning for natural language processing: a gentle introduction
Deep Learning is becoming increasingly important in a technology-dominated world. However, the building of computational models that accurately represent linguistic structures is complex, as it involves an in-depth knowledge of neural networks, and the understanding of advanced mathematical concepts...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cambridge, UK ; New York, NY ; Melbourne ; New Delhi ; Singapore
Cambridge University Press
2024
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| Schlagworte: | |
| Zusammenfassung: | Deep Learning is becoming increasingly important in a technology-dominated world. However, the building of computational models that accurately represent linguistic structures is complex, as it involves an in-depth knowledge of neural networks, and the understanding of advanced mathematical concepts such as calculus and statistics. This book makes these complexities accessible to those from a humanities and social sciences background, by providing a clear introduction to deep learning for natural language processing. It covers both theoretical and practical aspects, and assumes minimal knowledge of machine learning, explaining the theory behind natural language in an easy-to-read way. It includes pseudo code for the simpler algorithms discussed, and actual Python code for the more complicated architectures, using modern deep learning libraries such as PyTorch and Hugging Face. Providing the necessary theoretical foundation and practical tools, this book will enable readers to immediately begin building real-world, practical natural language processing systems |
| Beschreibung: | Includes bibliographic references and index |
| Beschreibung: | xviii, 325 Seiten Illustrationen, Diagramme |
| ISBN: | 9781009012652 9781316515662 |
Internformat
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| 245 | 1 | 0 | |a Deep learning for natural language processing |b a gentle introduction |c Mihai Surdeanu, University of Arizona, Marco Antonio Valenzuela-Escárcega, University of Arizona |
| 264 | 1 | |a Cambridge, UK ; New York, NY ; Melbourne ; New Delhi ; Singapore |b Cambridge University Press |c 2024 | |
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| 500 | |a Includes bibliographic references and index | ||
| 520 | 3 | |a Deep Learning is becoming increasingly important in a technology-dominated world. However, the building of computational models that accurately represent linguistic structures is complex, as it involves an in-depth knowledge of neural networks, and the understanding of advanced mathematical concepts such as calculus and statistics. This book makes these complexities accessible to those from a humanities and social sciences background, by providing a clear introduction to deep learning for natural language processing. It covers both theoretical and practical aspects, and assumes minimal knowledge of machine learning, explaining the theory behind natural language in an easy-to-read way. It includes pseudo code for the simpler algorithms discussed, and actual Python code for the more complicated architectures, using modern deep learning libraries such as PyTorch and Hugging Face. Providing the necessary theoretical foundation and practical tools, this book will enable readers to immediately begin building real-world, practical natural language processing systems | |
| 650 | 0 | 7 | |a Automatische Sprachanalyse |0 (DE-588)4129935-8 |2 gnd |9 rswk-swf |
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| 653 | 0 | |a Natural language processing (Computer science) | |
| 653 | 0 | |a Machine learning | |
| 653 | 0 | |a Computational linguistics | |
| 653 | 0 | |a Computerlinguistik und Korpuslinguistik | |
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| 653 | 0 | |a Maschinelles Lernen | |
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Datensatz im Suchindex
| _version_ | 1817696381679173632 |
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| adam_text | |
| any_adam_object | |
| author | Surdeanu, Mihai Valenzuela-Escárcega, Marco Antonio |
| author_GND | (DE-588)134075391X (DE-588)1340756447 |
| author_facet | Surdeanu, Mihai Valenzuela-Escárcega, Marco Antonio |
| author_role | aut aut |
| author_sort | Surdeanu, Mihai |
| author_variant | m s ms m a v e mav mave |
| building | Verbundindex |
| bvnumber | BV049684060 |
| classification_rvk | ST 306 |
| ctrlnum | (OCoLC)1427324154 (DE-599)KXP1880011964 |
| dewey-full | 006.35 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.35 |
| dewey-search | 006.35 |
| dewey-sort | 16.35 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Book |
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| id | DE-604.BV049684060 |
| illustrated | Illustrated |
| indexdate | 2024-12-06T13:05:53Z |
| institution | BVB |
| isbn | 9781009012652 9781316515662 |
| language | English |
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| physical | xviii, 325 Seiten Illustrationen, Diagramme |
| publishDate | 2024 |
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| publisher | Cambridge University Press |
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| spelling | Surdeanu, Mihai Verfasser (DE-588)134075391X aut Deep learning for natural language processing a gentle introduction Mihai Surdeanu, University of Arizona, Marco Antonio Valenzuela-Escárcega, University of Arizona Cambridge, UK ; New York, NY ; Melbourne ; New Delhi ; Singapore Cambridge University Press 2024 xviii, 325 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Includes bibliographic references and index Deep Learning is becoming increasingly important in a technology-dominated world. However, the building of computational models that accurately represent linguistic structures is complex, as it involves an in-depth knowledge of neural networks, and the understanding of advanced mathematical concepts such as calculus and statistics. This book makes these complexities accessible to those from a humanities and social sciences background, by providing a clear introduction to deep learning for natural language processing. It covers both theoretical and practical aspects, and assumes minimal knowledge of machine learning, explaining the theory behind natural language in an easy-to-read way. It includes pseudo code for the simpler algorithms discussed, and actual Python code for the more complicated architectures, using modern deep learning libraries such as PyTorch and Hugging Face. Providing the necessary theoretical foundation and practical tools, this book will enable readers to immediately begin building real-world, practical natural language processing systems Automatische Sprachanalyse (DE-588)4129935-8 gnd rswk-swf Deep learning (DE-588)1135597375 gnd rswk-swf Natural language processing (Computer science) Machine learning Computational linguistics Computerlinguistik und Korpuslinguistik LANGUAGE ARTS & DISCIPLINES / Linguistics Maschinelles Lernen Deep learning (DE-588)1135597375 s Automatische Sprachanalyse (DE-588)4129935-8 s DE-604 Valenzuela-Escárcega, Marco Antonio Verfasser (DE-588)1340756447 aut |
| spellingShingle | Surdeanu, Mihai Valenzuela-Escárcega, Marco Antonio Deep learning for natural language processing a gentle introduction Automatische Sprachanalyse (DE-588)4129935-8 gnd Deep learning (DE-588)1135597375 gnd |
| subject_GND | (DE-588)4129935-8 (DE-588)1135597375 |
| title | Deep learning for natural language processing a gentle introduction |
| title_auth | Deep learning for natural language processing a gentle introduction |
| title_exact_search | Deep learning for natural language processing a gentle introduction |
| title_full | Deep learning for natural language processing a gentle introduction Mihai Surdeanu, University of Arizona, Marco Antonio Valenzuela-Escárcega, University of Arizona |
| title_fullStr | Deep learning for natural language processing a gentle introduction Mihai Surdeanu, University of Arizona, Marco Antonio Valenzuela-Escárcega, University of Arizona |
| title_full_unstemmed | Deep learning for natural language processing a gentle introduction Mihai Surdeanu, University of Arizona, Marco Antonio Valenzuela-Escárcega, University of Arizona |
| title_short | Deep learning for natural language processing |
| title_sort | deep learning for natural language processing a gentle introduction |
| title_sub | a gentle introduction |
| topic | Automatische Sprachanalyse (DE-588)4129935-8 gnd Deep learning (DE-588)1135597375 gnd |
| topic_facet | Automatische Sprachanalyse Deep learning |
| work_keys_str_mv | AT surdeanumihai deeplearningfornaturallanguageprocessingagentleintroduction AT valenzuelaescarcegamarcoantonio deeplearningfornaturallanguageprocessingagentleintroduction |