Hebing Liu

2.2. AWdpCNER Model In this paper, the AWdpCNER model was used to identify the named entities of wheat diseases and pests. The model adopted the strategy of ALBERT-BiLSTM-CRF combined with rules amendment. The overall architecture of the model is shown in Figure 3. The steps of the AWdpCNER model can be found in Appendix A. The whole network can be divided into seven layers: input layer, data augmentation, ALBERT layer, BiLSTM layer, CRF layer, rule amendment, and output layer.

Open AccessArticle by Yong Li 1,2, Hebing Liu 1,2, Jialing Wei 1,2, Xinming Ma 1, Guang Zheng 1 and Lei Xi 1,2,* 1 College of Information and Management Science, Henan Agricultural University, Zhengzhou 450046, China 2 Henan Engineering Laboratory of Farmland Monitoring and Control, Zhengzhou 450046, China * Author to whom correspondence should be addressed.

A quadruple-label time-resolved fluorescence immunochromatographic assay for simultaneous quantitative determination of three mycotoxins in grains† Xiaoxi Chang,‡a Yaqing Zhang,‡a Hebing Liub and Xiaoqi Tao *ac Author affiliations * Corresponding authors a College of Food Science, Southwest University, No. 2 Tiansheng Road, Beibei District, Chongqing, China E-mail: 77179000@qq.com Tel: +86-18306008102 b Beijing WDWK Biotech Co., Ltd, Beijing, China c Key Laboratory of Luminescence and...