A text-speech multimodal Chinese named entity recognition model for crop diseases and pests

A text-speech multimodal Chinese named entity recognition model for crop diseases and pests

Abstract Named Entity Recognition for crop diseases and pests (NER-CDP) is significant in agricultural information extraction and offers vital data support for subsequent knowledge services and retrieval. However, existing NER-CDP methods rely heavily on plain text or external features such as radic...

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Bibliographic Details
Main Authors: Ruilin Liu, Xuchao Guo, HongMei Zhu, Lu Wang
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Crop diseases and pests
Multimodal named entity recognition
Data augmentation
Cross-modal attention
Masked CTC Loss
Online Access:https://doi.org/10.1038/s41598-025-88874-9
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https://doi.org/10.1038/s41598-025-88874-9

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