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Linguistic Resources for Natural Language Processing On the Necessity of Using Linguistic Methods to Develop NLP Software /

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 consequen...

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Detalhes bibliográficos
Autor Corporativo:	SpringerLink (Online service)
Outros Autores:	Silberztein, Max (Editor)
Formato:	Recurso Electrónico livro electrónico
Idioma:	inglês
Publicado em:	Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edição:	1st ed. 2024.
Assuntos:	Natural language processing (Computer science). Computational linguistics. Artificial intelligence. Digital humanities. Natural Language Processing (NLP). Computational Linguistics. Artificial Intelligence. Digital Humanities.
Acesso em linha:	https://doi.org/10.1007/978-3-031-43811-0
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!

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