Strategies for Natural Language Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Strategies for Natural Language Processing write by W. G. Lehnert. This book was released on 2014-04-04. Strategies for Natural Language Processing available in PDF, EPUB and Kindle. First published in 1982. Simply defined, the field of natural language processing is concerned with theories and techniques that address the problem of natural language communication with computers. One of the goals of this research is to design computer programs that will allow people to interact with computers in natural conversational dialogues.
Practical Natural Language Processing
Practical Natural Language Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Practical Natural Language Processing write by Sowmya Vajjala. This book was released on 2020-06-17. Practical Natural Language Processing available in PDF, EPUB and Kindle. Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You’ll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail. With this book, you’ll: Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP Implement and evaluate different NLP applications using machine learning and deep learning methods Fine-tune your NLP solution based on your business problem and industry vertical Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages Produce software solutions following best practices around release, deployment, and DevOps for NLP systems Understand best practices, opportunities, and the roadmap for NLP from a business and product leader’s perspective
Deep Natural Language Processing and AI Applications for Industry 5.0
Deep Natural Language Processing and AI Applications for Industry 5.0 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Deep Natural Language Processing and AI Applications for Industry 5.0 write by Tanwar, Poonam. This book was released on 2021-06-25. Deep Natural Language Processing and AI Applications for Industry 5.0 available in PDF, EPUB and Kindle. To sustain and stay at the top of the market and give absolute comfort to the consumers, industries are using different strategies and technologies. Natural language processing (NLP) is a technology widely penetrating the market, irrespective of the industry and domains. It is extensively applied in businesses today, and it is the buzzword in every engineer’s life. NLP can be implemented in all those areas where artificial intelligence is applicable either by simplifying the communication process or by refining and analyzing information. Neural machine translation has improved the imitation of professional translations over the years. When applied in neural machine translation, NLP helps educate neural machine networks. This can be used by industries to translate low-impact content including emails, regulatory texts, etc. Such machine translation tools speed up communication with partners while enriching other business interactions. Deep Natural Language Processing and AI Applications for Industry 5.0 provides innovative research on the latest findings, ideas, and applications in fields of interest that fall under the scope of NLP including computational linguistics, deep NLP, web analysis, sentiments analysis for business, and industry perspective. This book covers a wide range of topics such as deep learning, deepfakes, text mining, blockchain technology, and more, making it a crucial text for anyone interested in NLP and artificial intelligence, including academicians, researchers, professionals, industry experts, business analysts, data scientists, data analysts, healthcare system designers, intelligent system designers, practitioners, and students.
Embeddings in Natural Language Processing
Embeddings in Natural Language Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Embeddings in Natural Language Processing write by Mohammad Taher Pilehvar. This book was released on 2020-11-13. Embeddings in Natural Language Processing available in PDF, EPUB and Kindle. Embeddings have undoubtedly been one of the most influential research areas in Natural Language Processing (NLP). Encoding information into a low-dimensional vector representation, which is easily integrable in modern machine learning models, has played a central role in the development of NLP. Embedding techniques initially focused on words, but the attention soon started to shift to other forms: from graph structures, such as knowledge bases, to other types of textual content, such as sentences and documents. This book provides a high-level synthesis of the main embedding techniques in NLP, in the broad sense. The book starts by explaining conventional word vector space models and word embeddings (e.g., Word2Vec and GloVe) and then moves to other types of embeddings, such as word sense, sentence and document, and graph embeddings. The book also provides an overview of recent developments in contextualized representations (e.g., ELMo and BERT) and explains their potential in NLP. Throughout the book, the reader can find both essential information for understanding a certain topic from scratch and a broad overview of the most successful techniques developed in the literature.
Biomedical Natural Language Processing
Biomedical Natural Language Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Biomedical Natural Language Processing write by Kevin Bretonnel Cohen. This book was released on 2014-02-15. Biomedical Natural Language Processing available in PDF, EPUB and Kindle. 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.
