TY - BOOK AU - Surdeanu,Mihai AU - AU - Valenzuela-Escárcega,Marco Antonio AU - TI - Deep learning for natural language processing: a gentle introduction SN - 9781009026222 U1 - 006.35 23 PY - 2024/// CY - United Kingdom PB - Cambridge University Press, Cambridge, KW - Natural language processing (Computer science) KW - Machine learning N1 - Introduction The perceptron Logistic regression Implementing text classification using perceptron and logistic regression Feed-forward neural networks Best practices in deep learning Implementing text classification with feed-forward networks Distributional hypothesis and representation learning Implementing text classification using word embeddings Recurrent neural networks Implementing part-of-speech tagging using recurrent neural networks Contextualized embeddings and transformer networks Using transformers with the hugging face library Encoder-decoder methods Implementing encoder-decoder methods Neural architectures for natural language processing applications Appendices: Overview of the Python language and key libraries ; Character encodings: ASCII and Unicode; Access restricted to subscribing institutions N2 - 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 UR - https://ezproxy.lib.gla.ac.uk/login?url=https://doi.org/10.1017/9781009026222 ER -