Design of agricultural question answering information extraction method based on improved BILSTM algorithm

Abstract With the rapid growth of the agricultural information and the need for data analysis, how to accurately extract useful information from massive data has become an urgent first step in agricultural data mining and application. In this study, an agricultural question-answering information ext...

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Detalles Bibliográficos

Autores principales:	Ruipeng Tang, Jianbu Yang, Jianxun Tang, Narendra Kumar Aridas, Mohamad Sofian Abu Talip
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Nature Portfolio 2024-10-01
Colección:	Scientific Reports
Materias:	Information extraction Question and answer system Natural language processing Knowledge graph Agricultural information recommendation
Acceso en línea:	https://doi.org/10.1038/s41598-024-70534-z
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