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
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
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.
Complete list of metadatas

Cited literature [3 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-02275997
Contributor : Tobias Mayer <>
Submitted on : Monday, September 2, 2019 - 11:09:46 AM
Last modification on : Thursday, September 12, 2019 - 5:00:26 PM

File

IJCAI__19_ACTA_DEMO.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-02275997, version 1

Collections

Citation

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⟩

Share

Metrics

Record views

16

Files downloads

44