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Titlebook: Python for Natural Language Processing; Programming with Num Pierre M. Nugues Textbook 2024Latest edition The Editor(s) (if applicable) and

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書目名稱Python for Natural Language Processing
副標(biāo)題Programming with Num
編輯Pierre M. Nugues
視頻videohttp://file.papertrans.cn/765/764247/764247.mp4
概述Describes models and architectures that have been essential in the recent progress of Natural Language Processing.Focuses on techniques to build feed-forward, recurrent and transformer networks with s
叢書名稱Cognitive Technologies
圖書封面Titlebook: Python for Natural Language Processing; Programming with Num Pierre M. Nugues Textbook 2024Latest edition The Editor(s) (if applicable) and
描述.Since the last edition of this book (2014), progress has been astonishing in all areas of Natural Language Processing, with recent achievements in Text Generation that spurred a media interest going beyond the traditional academic circles. Text Processing has meanwhile become a mainstream industrial tool that is used, to various extents, by countless companies. As such, a revision of this book was deemed necessary to catch up with the recent breakthroughs, and the author discusses models and architectures that have been instrumental in the recent progress of Natural Language Processing..As in the first two editions, the intention is to expose the reader to the theories used in Natural Language Processing, and to programming examples that are essential for a deep understanding of the concepts. Although present in the previous two editions, Machine Learning is now even more pregnant, having replaced many of the earlier techniques to process text. Many new techniques build on the availability of text.?.Using Python notebooks, the reader will be able to load small corpora, format text, apply the models through executing pieces of code, gradually discover the theoretical parts by possi
出版日期Textbook 2024Latest edition
關(guān)鍵詞Annotation Schemes; BERT; Keras; Information Theory; Machine Learning; Machine Translation; Named Entity R
版次3
doihttps://doi.org/10.1007/978-3-031-57549-5
isbn_softcover978-3-031-57551-8
isbn_ebook978-3-031-57549-5Series ISSN 1611-2482 Series E-ISSN 2197-6635
issn_series 1611-2482
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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