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On The Contribution Of Specific Entity Detection And Comparative Construction To Automatic Spin Detection In Biomedical Scientific Publications
2017
Zenodo
In this article we address the problem of providing automatized aid for the detection of misrepresentation (spin) of research results in scientific publications from the biomedical domain. For identifying automatically inadequate claims in medical articles, i.e. claims that state the beneficial effect of the experimental treatment to be greater than it is actually proven by the research results, we propose a Natural Language Processing (NLP) approach. We first make a review of related works and
doi:10.5281/zenodo.1164229
fatcat:ply6htkgjrdqpek7pb4eh6j5lu