Argumentation Theoretical Frameworks for Explainable Artificial Intelligence

no code implementations • ACL (NL4XAI, INLG) 2020 • Martijn Demollin, Qurat-Ul-Ain Shaheen, Katarzyna Budzynska, Carles Sierra

This paper discusses four major argumentation theoretical frameworks with respect to their use in support of explainable artificial intelligence (XAI).

Explainable artificial intelligence Explainable Artificial Intelligence (XAI)

Ethos and Pathos in Online Group Discussions: Corpora for Polarisation Issues in Social Media

no code implementations • 7 Apr 2024 • Ewelina Gajewska, Katarzyna Budzynska, Barbara Konat, Marcin Koszowy, Konrad Kiljan, Maciej Uberna, He Zhang

Growing polarisation in society caught the attention of the scientific community as well as news media, which devote special issues to this phenomenon.

Advances in Argument Mining

no code implementations • ACL 2019 • Katarzyna Budzynska, Chris Reed

This course aims to introduce students to an exciting and dynamic area that has witnessed remarkable growth over the past 36 months.

Argument Mining Opinion Mining +1

The CASS Technique for Evaluating the Performance of Argument Mining

no code implementations • WS 2016 • Rory Duthie, John Lawrence, Katarzyna Budzynska, Chris Reed

Argument Mining

A Corpus of Argument Networks: Using Graph Properties to Analyse Divisive Issues

no code implementations • LREC 2016 • Barbara Konat, John Lawrence, Joonsuk Park, Katarzyna Budzynska, Chris Reed

Governments are increasingly utilising online platforms in order to engage with, and ascertain the opinions of, their citizens.

Argument Mining