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Deep Learning for Natural Language Processing
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.
The Oxford Handbook of Computational Linguistics
Ruslan Mitkov's highly successful Oxford Handbook of Computational Linguistics has been substantially revised and expanded in this second edition. Alongside updated accounts of the topics covered in the first edition, it includes 17 new chapters on subjects such as semantic role-labelling, text-to-speech synthesis, translation technology, opinion mining and sentiment analysis, and the application of Natural Language Processing in educational and biomedical contexts, among many others. The volume is divided into four parts that examine, respectively: the linguistic fundamentals of computational linguistics; the methods and resources used, such as statistical modelling, machine learning, and corpus annotation; key language processing tasks including text segmentation, anaphora resolution, and speech recognition; and the major applications of Natural Language Processing, from machine translation to author profiling. The book will be an essential reference for researchers and students in computational linguistics and Natural Language Processing, as well as those working in related industries.
STAIRS 2016
As a vibrant area of computer science which continues to develop rapidly, AI is a field in which fresh ideas and new perspectives are of particular interest. This book presents the proceedings of the 8th European Starting AI Researcher Symposium (STAIRS 2016), held as a satellite event of the 22nd European Conference on Artificial Intelligence (ECAI) in The Hague, the Netherlands, in August 2016. What is unique about the STAIRS symposium is that the principal author of every submitted paper must be a young researcher who either does not yet hold a Ph.D., or who has obtained their Ph.D. during the year before the submission deadline for papers. The book contains 21 accepted papers; Part I inc...
Multilayer Corpus Studies
This volume explores the opportunities afforded by the construction and evaluation of multilayer corpora, an emerging methodology within corpus linguistics that brings about multiple independent parallel analyses of the same linguistic phenomena, and how the interplay of these concurrent analyses can help to push the field into new frontiers. The first part of the book surveys the theoretical and methodological underpinnings of multilayer corpus work, including an exploration of various technical and data collection issues. The second part builds on the groundwork of the first half to show multilayer corpora applied to different subfields of linguistic study, including information structure research, referentiality, discourse models, and functional theories of discourse analysis, synthesizing these different discussions in a detailed case study of non-standard language in its concluding chapter. Advancing the multilayer corpus linguistic research paradigm into new and different directions, this volume is an indispensable resource for graduate students and researchers in corpus linguistics, syntax, semantics, construction studies, and cognitive grammar.
Authorship Attribution
Authorship Attribution surveys the history and present state of the discipline, presenting some comparative results where available. It also provides a theoretical and empirically-tested basis for further work. Many modern techniques are described and evaluated, along with some insights for application for novices and experts alike.
Biomedical Natural Language Processing
Biomedical Natural Language Processing is a comprehensive tour through the classic and current work in the field. It discusses all subjects from both a rule-based and a machine learning approach, and also describes each subject from the perspective of both biological science and clinical medicine. The intended audience is readers who already have a background in natural language processing, but a clear introduction makes it accessible to readers from the fields of bioinformatics and computational biology, as well. The book is suitable as a reference, as well as a text for advanced courses in biomedical natural language processing and text mining.
Personalized Machine Learning
Explains methods behind machine learning systems to personalize predictions to individual users, from recommendation to dating and fashion.
Similar Languages, Varieties, and Dialects
Studying language variation requires comprehensive interdisciplinary knowledge and new computational tools. This essential reference introduces researchers and graduate students in computer science, linguistics, and NLP to the core topics in language variation and the computational methods applied to similar languages, varieties, and dialects.
Divided Spirits
"Divided Spirits tells the stories of tequila and mezcal, two of Mexico’s most iconic products. In recent years, as consumers increasingly demand to connect with the people and places that produce their food, the concept of terroir - the taste of place - has become more and more prominent. Tequila and mezcal are both protected by denominations of origin (DOs), legal designations that aim to guarantee a product’s authenticity based on its link to terroir. Advocates argue that the DOs expand market opportunities, protect cultural heritage, and ensure the reputation of Mexico’s national spirits. Yet this book shows how the institutions that are supposed to guard 'the legacy of all Mexicans' often fail those who are most in need of protection: the small producers, agave farmers, and other workers who have been making tequila and mezcal for generations. Divided Spirits suggests that we must move beyond market-based models if we want to safeguard local products and the people who make them. Instead, we need systems of production, consumption, and oversight that are more democratic, more inclusive, and more participatory."--Page 4 of cover.
