{"title":"Chinese agricultural diseases named entity recognition based on BERT-CRF","authors":"Suoxiang Zhang, Ming Zhao","doi":"10.1109/ICMCCE51767.2020.00252","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"4 1","pages":"1148-1151"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMCCE51767.2020.00252","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.