Deep learning for natural language processing : (Record no. 46267)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03015nam a22003371i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | UkCbUP |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251204105336.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 201127s2024||||enk o ||1 0|eng|d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781009026222 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Cancelled/invalid ISBN | 9781316515662 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Cancelled/invalid ISBN | 9781009012652 |
| 041 ## - LANGUAGE CODE | |
| Language | English |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.35 |
| Edition number | 23 |
| Item number | SUD |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Surdeanu, Mihai, |
| 245 10 - TITLE STATEMENT | |
| Title | Deep learning for natural language processing : |
| Remainder of title | a gentle introduction / |
| Statement of responsibility, etc | Mihai Surdeanu, Marco Antonio Valenzuela-Escárcega. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | United Kingdom : |
| Name of publisher, distributor, etc | Cambridge University Press, Cambridge, |
| Date of publication, distribution, etc | 2024. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xviii, 325 pages : |
| Other physical details | illustrations ; |
| Dimensions | 24 cm. |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Contents | Introduction<br/>The perceptron<br/>Logistic regression<br/>Implementing text classification using perceptron and logistic regression<br/>Feed-forward neural networks<br/>Best practices in deep learning<br/>Implementing text classification with feed-forward networks<br/>Distributional hypothesis and representation learning<br/>Implementing text classification using word embeddings<br/>Recurrent neural networks<br/>Implementing part-of-speech tagging using recurrent neural networks<br/>Contextualized embeddings and transformer networks<br/>Using transformers with the hugging face library<br/>Encoder-decoder methods<br/>Implementing encoder-decoder methods<br/>Neural architectures for natural language processing applications<br/>Appendices: Overview of the Python language and key libraries ; Character encodings: ASCII and Unicode |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Natural language processing (Computer science) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Valenzuela-Escárcega, Marco Antonio, |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://ezproxy.lib.gla.ac.uk/login?url=https://doi.org/10.1017/9781009026222">https://ezproxy.lib.gla.ac.uk/login?url=https://doi.org/10.1017/9781009026222</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | General Books |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Relator term | author. |
| 506 ## - RESTRICTIONS ON ACCESS NOTE | |
| Terms governing access | Access restricted to subscribing institutions. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Relator term | author. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Print version: |
| International Standard Book Number | 9781316515662. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Public note | Connect to resource |
| 907 ## - LOCAL DATA ELEMENT G, LDG (RLIN) | |
| a | .b4134490x |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Location | Shelving location | Date of Cataloging | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Non-fiction | CUTN Central Library | CUTN Central Library | Generalia | 04/12/2025 | 006.35 SUD | 54744 | 04/12/2025 | 04/12/2025 | General Books |
