Cross-lingual Argument Mining in the Medical Domain

arXiv:2301.10527v2 Announce Type: replace
Abstract: Nowadays the medical domain is receiving more and more attention in applications involving Artificial Intelligence as clinicians decision-making is increasingly dependent on dealing with enormous amounts of unstructured textual data. In this context, Argument Mining (AM) helps to meaningfully structure textual data by identifying the argumentative components in the text and classifying the relations between them. However, as it is the case for man tasks in Natural Language Processing in general and in medical text …

abstract applications artificial artificial intelligence arxiv attention clinicians components context cross-lingual cs.cl data decision domain intelligence making medical mining textual type unstructured