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Vers La Détection Automatique Des Affirmations Inappropriées Dans Les Articles Scientifiques
2017
Zenodo
In this article we consider application of Natural Language Processing (NLP) techniques to the task of automatic detection of misrepresentation (« spin ») of research results in scientific publications from the biomedical domain. Our objective is to identify 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. After analyzing the problem from the point of view of NLP,
doi:10.5281/zenodo.887673
fatcat:svipot65lvha3i73gj3dwhhhqa