基于地震大数据的实体识别技术分析
Analysis of Entity Recognition Technology Based on Earthquake Big Data
许利娜1
作者信息
- 1. 中国地震局第二监测中心,陕西 710054
- 折叠
摘要
阐述基于深度学习技术对地震大数据的海量电子文本进行实体识别.设计相应的标注规范和标注流程,从而完成整个序列标注语料库的构建.选用BBC训练模型,提高模型的实体识别和分类能力.
Abstract
This paper expounds entity recognition of massive electronic texts in earthquake big data based on deep learning technology.It designs corresponding annotation standards and annotation processes to complete the construction of the entire sequence annotation corpus.It uses the BBC training model to improve the model's entity recognition and classification capabilities.
关键词
大数据/实体识别/深度学习/预训练模型/自然语言处理Key words
big data/entity recognition/deep learning/pre trained models/natural language processing引用本文复制引用
出版年
2024
NETL
NSTL
万方数据