Detection of fields of applications in biomedical abstracts with the
  support of argumentation elements
Mariana Neves
Focusing on particular facts, instead of the complete text, can potentially
improve searching for specific information in the scientific literature. In
particular, argumentative elements allow focusing on specific parts of a
publication, e.g., the background section or the claims from the authors. We
evaluated some tools for the extraction of argumentation elements for a
specific task in biomedicine, namely, for detecting the fields of the
application in a biomedical publication, e.g, whether it addresses the problem
of disease diagnosis or drug development. We performed experiments with the
PubMedBERT pre-trained model, which was fine-tuned on a specific corpus for the
task. We compared the use of title and abstract to restricting to only some
argumentative elements. The top F1 scores ranged from 0.22 to 0.84, depending
on the field of application. The best argumentative labels were the ones
related the conclusion and background sections of an abstract.