Chinese agricultural diseases and pests named entity recognition with multi-scale local context features and self-attention mechanism

Author:

Guo Xuchao,Zhou Han,Su Jie,Hao Xia,Tang Zhan,Diao Lei,Li Lin

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference48 articles.

1. Aguilar, G., Maharjan, S., López-Monroy, A. P., Solorio, T. 2019. A multi-task approach for named entity recognition in social media data.arXiv preprint arXiv:1906.04135.

2. Ontology-based data acquisition model development for agricultural open data platforms and implementation of OWL2MVC tool;Aydin;Comput. Electron. Agric.,2020

3. GRN: Gated relation network to enhance convolutional neural network for named entity recognition;Chen,2019

4. Combinatorial feature embedding based on CNN and LSTM for biomedical named entity recognition;Cho;J. Biomed. Inform.,2020

5. On the Relationship between Self-Attention and Convolutional Layers;Cordonnier,2019

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