Abstract
Argumentative analysis of textual documents of
various nature (e.g., persuasive essays, online discussion blogs, scientific articles) allows to detect
the main argumentative components (i.e., premises
and claims) present in the text and to predict
whether these components are connected to each
other by argumentative relations (e.g., support and
attack), leading to the identification of (possibly
complex) argumentative structures. Given the importance of argument-based decision making in
medicine, in this demo paper we introduce ACTA,
a tool for automating the argumentative analysis of
clinical trials. The tool is designed to support doctors and clinicians in identifying the document(s) of
interest about a certain disease, and in analyzing the
main argumentative content and PICO elements