基于BERT-CRF的中国农业病害命名实体识别

2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE) Pub Date : 2020-12-01 DOI:10.1109/ICMCCE51767.2020.00252

Suoxiang Zhang, Ming Zhao

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引用次数: 0

摘要

命名实体识别工作在一些语料库丰富的领域取得了较好的效果，但在中国农业病害文本领域，命名实体识别工作尚未取得太大进展。针对农业领域实体命名识别面临的问题，我们对农业病害文本进行标注，选择BERT-CRF模型，取得了较好的效果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Chinese agricultural diseases named entity recognition based on BERT-CRF

Named entity recognition work has achieved good results in some fields with rich corpus, but in the field of Chinese agricultural disease texts, named entity recognition work has not made much progress. In response to the problems faced by entity naming recognition in the agricultural field, we marked the text of agricultural diseases and selected the BERT-CRF model to achieve good results.

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2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)

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