论文标题
主题建模的非药物干预发现
Non-Pharmaceutical Intervention Discovery with Topic Modeling
论文作者
论文摘要
我们考虑发现在不断发展的COVID-19大流行期间发现非药物干预措施类别的任务。我们探索具有国家和国际范围的两个语料库的主题建模。这些模型与人类干预标签相比，发现现有类别，同时减少了人类的努力。
We consider the task of discovering categories of non-pharmaceutical interventions during the evolving COVID-19 pandemic. We explore topic modeling on two corpora with national and international scope. These models discover existing categories when compared with human intervention labels while reduced human effort needed.
