Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision, Kumar, L. Ashok
Автор: Maosong Sun, Xiaojie Wang, Baobao Chang Название: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data ISBN: 3319690043 ISBN-13(EAN): 9783319690049 Издательство: Springer Рейтинг: Цена: 5300.00 р. Наличие на складе: Есть (3 шт.) Описание: This book constitutes the proceedings of the 16th China National Conference on Computational Linguistics, CCL 2017, and the 5th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2017, held in Nanjing, China, in October 2017. Minority language information processing.
Описание: 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.
Описание: The concept of narrative has exerted a strong influence on a wide range of fields, from the humanities such as literature (and art and entertainment) to social studies, psychiatry, and psychology. The framework that allows access to narratives across a wide range of areas, from science to the humanities, has the potential to be improved as a fusion of cognitive science and artificial intelligence.
Toward an Integrated Approach to Narrative Generation: Emerging Research and Opportunities is a critical scholarly book that focuses on the significance of narratives and narrative generation in various aspects of human society. Featuring an array of topics such as philosophy, narratology, and advertising, this book is ideal for software developers, academicians, philosophy professionals, researchers, and students in the fields of cognitive studies, literary studies, and digital content design and development.
Описание: This book gives a comprehensive view of graph theory in informational retrieval (IR) and natural language processing(NLP). The first part gives graph theory basics and graph networks, and the second part provides basics of IR with graph-based information retrieval.
Описание: Digital transformation has profoundly affected organizations and value chains in cultural production at the global level. The volume focuses on this change by looking at the knowledge, skills, and competencies (KSC) of the labor force in the cultural and creative industries (CCI) in Italy. The contribution of the research is twofold. On the one hand, the book offers a detailed map of the KSC of creative and cultural professions and workers, on the other hand, it identifies relevant gaps between supply and demand across different cultural sub-sectors and typologies of workers. The study adopts an original methodology that implements a Natural Language Processing (NLP) approach to the analysis of education, experiences, and accomplishments contained in CVs. The result of the mapping exercise based on the algorithm shows how managerial and digital skills are increasingly crucial in the CCI in combination with creative skills. The Italian labor market in these industries seems characterized not only by a growing symbiosis between creative, digital, and managerial KSC but also by a convergence of CCI sub-sectors, whose boundaries get increasingly blurred and permeable. Finally, comparing the supply and demand of KSC, the book provides managers, practitioners, policymakers, and educational institutions with a comprehensive overview of the new KSC needed in CCI.
Описание: Based on natural language processing techniques, the approach presented in this book provides a qualitative estimation of the learning process and enhances understanding as a "mediator of learning" by providing automated feedback to both learners and teachers.
Описание: Based on natural language processing techniques, the approach presented in this book provides a qualitative estimation of the learning process and enhances understanding as a "mediator of learning" by providing automated feedback to both learners and teachers.
Автор: Alexander Franz Название: Automatic Ambiguity Resolution in Natural Language Processing ISBN: 3540620044 ISBN-13(EAN): 9783540620044 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Dealing with empiricism in natural language processing this text introduces an approach to the the issue of automatic ambiguity resolution, based on statistical models of text. An effective implementation strategy is also described, which is directly useful for natural language analysis.
Автор: Karen Jensen; George E. Heidorn; Stephen D. Richar Название: Natural Language Processing: The PLNLP Approach ISBN: 1461363896 ISBN-13(EAN): 9781461363897 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This technique is an example of one facet of the PLNLP approach: the use of natural language itself as a knowledge representation language -- an innovation that permits a wide variety of online text materials to be exploited as sources of semantic information.
Автор: Darwiche Название: Modeling and Reasoning with Bayesian Networks ISBN: 1107678420 ISBN-13(EAN): 9781107678422 Издательство: Cambridge Academ Рейтинг: Цена: 9821.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design, learning models from data, and debugging models using sensitivity analysis.
Описание: This book presents recent advances in NLP and speech technology, a topic attracting increasing interest in a variety of fields through its myriad applications, such as the demand for speech guided touchless technology during the Covid-19 pandemic. The authors present results of recent experimental research that provides contributions and solutions to different issues related to speech technology and speech in industry. Technologies include natural language processing, automatic speech recognition (for under-resourced dialects) and speech synthesis that are useful for applications such as intelligent virtual assistants, among others. Applications cover areas such as sentiment analysis and opinion mining, Arabic named entity recognition, and language modelling. This book is relevant for anyone interested in the latest in language and speech technology.
Описание: This book explains how can be created information extraction (IE) applications that are able to tap the vast amount of relevant information available in natural language sources: Internet pages, official documents such as laws and regulations, books and newspapers, and social web.
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