publication . Conference object . Other literature type . 2018

Vers la détection automatique des affirmations inappropriées dans les articles scientifiques

Koroleva Anna;
Open Access French
  • Published: 01 Feb 2018
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, we present methods that we consider applicable for automatic spin identification. We analyze the state of the art in similar or related tasks and we present our first resul...
free text keywords: Medicine, Microbiology, Cell Biology, Sociology, Science Policy, Infectious Diseases, Computational Biology, Ver, Chercheur, Informatique, 18 e REncontres, TAL, RECITAL, articles scientifiques Poster, étection automatique des affirmations inappropri ées
Funded by
Methods in Research on Research
  • Funder: European Commission (EC)
  • Project Code: 676207
  • Funding stream: H2020 | MSCA-ITN-EJD
Science and Innovation Policy Studies
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