Abstract: In this thesis, we report on our work on developing Natural Language Processing (NLP) algorithms to aid readers and authors of scientific (biomedical) articles in detecting spin (distorted presentation of research results). Our algorithm focuses on spin in abstracts of articles reporting Randomized Controlled Trials (RCTs). We studied the phenomenon of spin from the linguistic point of view to create a description of its textual features. We annotated a set of corpora for the key tasks of our spin detection pipeline: extraction of declared (pri...
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