ACTA: A Tool for Argumentative Clinical Trial Analysis

Tobias Mayer (1) , Elena Cabrio (1) , Serena Villata (1)

1 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics

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.

Domaines: Informatique [cs]; Informatique et langage [cs.CL]; Traitement du texte et du document

Tobias Mayer, Elena Cabrio, Serena Villata. ACTA: A Tool for Argumentative Clinical Trial Analysis. IJCAI 2019 - Twenty-Eighth International Joint Conference on Artificial Intelligence, Aug 2019, Macao, China. pp.6551-6553. ⟨hal-02275997⟩