Developing an automated mechanism to identify medical articles from wikipedia for knowledge extraction

wikidata 2022-09-23

Summary:

Wikipedia contains rich biomedical information that can support medical informatics studies and applications. Identifying the subset of medical articles of Wikipedia has many benefits, such as facilitating medical knowledge extraction, serving as a corpus for language modeling, or simply making the size of data easy to work with. However, due to the extremely low prevalence of medical articles in the entire Wikipedia, articles identified by generic text classifiers would be bloated by irrelevant...

Link:

https://pubmed.ncbi.nlm.nih.gov/32693245/?utm_source=Other&utm_medium=rss&utm_campaign=pubmed-2&utm_content=1VSjW0JqT_vVo4exSnaEa8DS8viTn4bOW9m_0JY8UcVGX5Esjj&fc=20220129234853&ff=20220923042826&v=2.17.8

From feeds:

📚BioDBS Bibliography » wikidata

Tags:

Authors:

Lishan Yu, Sheng Yu

Date tagged:

09/23/2022, 04:28

Date published:

07/22/2020, 06:00