Semantic Changepoint Detection for Finding Potentially Novel Research Publications
Semantic Changepoint Detection for Finding Potentially Novel Research Publications
复制标题
用于查找潜在新颖研究出版物的语义变化点检测
DOI：
10.1142/9789811232701_0011
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发表时间：
2020
影响因子：
--
通讯作者：
D. Dinakarpandian
中科院分区：
文献类型：
--
作者：
B. Dinakar;Mayla Boguslav;C. Görg;D. Dinakarpandian
随着时间的推移，研究论文对特定疾病的关注焦点是如何变化的？识别处于变化尖端的论文可以帮助突出新主题的出现或研究方向的变化。我们提出了一种基于给定研究论文集合中的语义变化点的普遍适用的无监督方法来解决这个问题。我们通过一系列基于新出现的COVID-19文献语料库以及世界卫生组织被忽视热带病清单上PubMed论文子集的例子来说明这种方法。该软件可在https://github.com/pdddinakar/SemanticChangepointDetection免费获得。
How has the focus of research papers on a given disease changed over time? Identifying the papers at the cusps of change can help highlight the emergence of a new topic or a change in the direction of research. We present a generally applicable unsupervised approach to this question based on semantic changepoints within a given collection of research papers. We illustrate the approach by a range of examples based on a nascent corpus of literature on COVID-19 as well as subsets of papers from PubMed on the World Health Organization list of neglected tropical diseases. The software is freely available at: https://github.com/pdddinakar/SemanticChangepointDetection.
DOI：
10.1002/asi.v57:3
发表时间：
2006-02
影响因子：
3.5
作者：
Chaomei Chen
通讯作者：
Chaomei Chen