| 书目名称 | Linguistic Resources for Natural Language Processing | | 副标题 | On the Necessity of | | 编辑 | Max Silberztein | | 视频video | | | 概述 | Addresses the topic of multiword units in NLP software and the issue low-resource languages.Discusses training corpus-based approaches and explains the intrinsic value of linguistic formalization.Show | | 图书封面 |  | | 描述 | .Empirical — data-driven, neural network-based, probabilistic, and statistical — methods seem to be the modern trend. Recently, OpenAI’s ChatGPT, Google’s Bard and Microsoft’s Sydney chatbots have been garnering a lot of attention for their detailed answers across many knowledge domains. In consequence, most AI researchers are no longer interested in trying to understand what common intelligence is or how intelligent agents construct scenarios to solve various problems. Instead, they now develop systems that extract solutions from massive databases used as cheat sheets. In the same manner, Natural Language Processing (NLP) software that uses training corpora associated with empirical methods are trendy, as most researchers in NLP today use large training corpora, always to the detriment of the development of formalized dictionaries and grammars..Not questioning the intrinsic value of many software applications based on empirical methods, this volume aims at rehabilitating the linguistic approach to NLP. In an introduction, the editor uncovers several limitations and flaws of using training corpora to develop NLP applications, even the simplest ones, such as automatic taggers..The f | | 出版日期 | Book 2024 | | 关键词 | Named Entity Recognition; Natural Language Processing; Text Generation; Training Corpora; Statistical Me | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-43811-0 | | isbn_softcover | 978-3-031-43813-4 | | isbn_ebook | 978-3-031-43811-0 | | 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 18:56:15
