| 书目名称 | Python for Natural Language Processing | | 副标题 | Programming with Num | | 编辑 | Pierre M. Nugues | | 视频video | | | 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 | | 丛书名称 | Cognitive Technologies | | 图书封面 |  | | 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 | | 关键词 | Annotation Schemes; BERT; Keras; Information Theory; Machine Learning; Machine Translation; Named Entity R | | 版次 | 3 | | doi | https://doi.org/10.1007/978-3-031-57549-5 | | isbn_softcover | 978-3-031-57551-8 | | isbn_ebook | 978-3-031-57549-5Series ISSN 1611-2482 Series E-ISSN 2197-6635 | | issn_series | 1611-2482 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 16:54:36
