作者
Julia Otmakhova, Karin Verspoor, Timothy Baldwin, Simon Suster
发表日期
2020/12
研讨会论文
Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020
简介
Efficient discovery and exploration of biomedical literature has grown in importance in the context of the COVID-19 pandemic, and topic-based methods such as latent Dirichlet allocation (LDA) are a useful tool for this purpose. In this study we compare traditional topic models based on word tokens with topic models based on medical concepts, and propose several ways to improve topic coherence and specificity.
学术搜索中的文章
J Otmakhova, K Verspoor, T Baldwin, S Suster - Proceedings of the 1st Workshop on NLP for COVID-19 …, 2020