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

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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Bibliographic Details
Main Authors: Ruipeng Tang, Jianbu Yang, Jianxun Tang, Narendra Kumar Aridas, Mohamad Sofian Abu Talip
Format: Article
Language:English
Published: Nature Portfolio 2024-10-01
Series:Scientific Reports
Subjects:
Information extraction
Question and answer system
Natural language processing
Knowledge graph
Agricultural information recommendation
Online Access:https://doi.org/10.1038/s41598-024-70534-z

Internet

https://doi.org/10.1038/s41598-024-70534-z

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