命名实体识别
计算机科学
人工智能
农业
自然语言处理
领域(数学)
实体链接
语音识别
历史
知识库
工程类
数学
任务(项目管理)
考古
系统工程
纯数学
作者
Suoxiang Zhang,Ming Zhao
出处
期刊:2019 4th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)
日期:2020-12-01
卷期号:: 1148-1151
被引量:4
标识
DOI:10.1109/icmcce51767.2020.00252
摘要
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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