Computational Logic and Argumentation

Department of Computing, Imperial College London

The Computational Logic and Argumentation group (CLArg) was formed in 2010 by Prof. Francesca Toni with the overarching objective of advancing state-of-the-art models, systems and applications of several incarnations of argumentation as broadly understood in AI.

Computational Argumentation

Computational argumentation emerged in the early 90s as a knowledge representation and reasoning paradigm that subsumed many of the then-existing formalisms for non-monotonic reasoning. During the years it has evolved into a thriving research field with applications in various domains within AI.

Argument Mining

Argument Mining is a relatively new research area at the intersection of Natural Language Processing and Knowledge Representation and Reasoning in AI. It involves the automatic detection in text of arguments, argument components, and relations between arguments and their components.

Explainable AI

Explainable AI aims to produce explanations supporting outputs of AI systems. Explanations are useful in many ways such as increasing human trust and satisfaction, ensuring fairness of the AI, extracting learned knowledge, and enabling human-AI collaboration.

Resources & Publications

Publications

This page collects publications of all the group members. For featured publications, please see each research theme.

Projects

This page points to ongoing and past projects led by the group or with the group as a participant.

Software & Datasets

We have been developing pieces of software and creating datasets as parts of our research.

Imperial XAI Seminar

Our group members also organise Explainable AI seminar series at Imperial.

Group Members

Group leader

Prof. Francesca Toni
  Argumentation; Knowledge Representation and Reasoning; Explainable AI; Argument Mining
  ft@imperial.ac.uk

   


Honorary lecturer

Dr. Oana Cocarascu
  Natural Language Processing; Machine Learning; Explainable AI
  oc511@imperial.ac.uk

   


Post-docs/Researchers

Mr Emanuele Albini
  Machine Learning; Explainable AI
  emanuele.albini19@imperial.ac.uk

 


Dr. Antonio Rago
  Argumentation; Explainable AI; Recommender Systems; Conversational AI
  a.rago15@imperial.ac.uk

   


PhD students

Neema Kotonya
  Stance Detection; Automated Fact-checking; Explainable AI; Applications of Argument Mining
  n.kotonya18@imperial.ac.uk

   


Piyawat Lertvittayakumjorn
  Explainable AI; Natural Language Processing; Knowledge Graph
  pl1515@imperial.ac.uk

   


Guilherme Paulino-Passos
  Artificial Intelligence and Law; Natural Language Processing; Knowledge Representation and Reasoning
  g.passos18@imperial.ac.uk

 


Andria Stylianou
  Argumentation in Images; Explainable AI
  as213@imperial.ac.uk


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