What is it about?
The research work deals with the creation of queries from keywords extracted from online health information in an unsupervised way. The queries can be further used for fact checking of the information. The work takes into account latest NLP techniques.
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Why is it important?
It is important to have unsupervised ways to fact check online health information as real world data labelling takes lot of time and domain expertise. In order to overcome the problems unsupervised methods are needed. This research work presents a solution for such problems.
Perspectives
I hope this article will help researchers explore the domain of unsupervised fact checking of online health information. It was very interesting to work on the paper with my supervisors.
Pritam Deka
Queen's University Belfast
Read the Original
This page is a summary of: Unsupervised Keyword Combination Query Generation from Online Health Related Content for Evidence-Based Fact Checking, November 2021, ACM (Association for Computing Machinery),
DOI: 10.1145/3487664.3487701.
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