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