publication . Conference object . Other literature type . Article . 2018

Automatic detection of inadequate claims in biomedical articles: first steps

Name: Automatic detection of inadequate claims in biomedical articles: first steps
Keywords: Inadequate Reporting, Spin, Biomedical Articles, Text Classification, Entity Extraction, Biochemistry, Medicine, Pharmacology, Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, claim, EUROLAN Summer School, article, steps Presentation, Constan ța Romania, MEDA, MEdical DAta, Automatic detection, Curative Power

Anna, Koroleva; Patrick, Paroubek;

Open Access English

Published: 02 Feb 2018

Summary

Abstract

In this article we present the first steps in developing an NLP algorithm for automatic detection of inadequate reporting of research results (known as spin) in biomedical articles. Inadequate reporting consists in presenting the experimental treatment as having a greater beneficial effect than it was shown by the research results. We propose a scheme for an algorithm that would automatically identify important claims in the articles abstracts, extract possible<br> supporting information from the article and check the adequacy of the claims. We present the state of the art and our first experiments for three tasks related to spin detection: classification of art...

Persistent Identifiers

doi: 10.5281/zenodo.1164161 , 10.5281/zenodo.1164680 , 10.5281/zenodo.1164160 , 10.5281/zenodo.1164679

Subjects

free text keywords: Inadequate Reporting, Spin, Biomedical Articles, Text Classification, Entity Extraction, Biochemistry, Medicine, Pharmacology, Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, claim, EUROLAN Summer School, article, steps Presentation, Constan ța Romania, MEDA, MEdical DAta, Automatic detection, Curative Power

Funded by

EC| MIROR