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

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