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Research project

Multimodal audio-textual argumentation mining of political debates

Staff

Lead researchers

Dr Rafael Mestre PhD, MSc, BSc

Lecturer

Research interests

  • Responsible Research and Innovation of emergent technologies
  • Multimodal machine learning and Natural Language Processing
  • Computational social science
Connect with Rafael

Email: [email protected]

Other researchers

Dr Stuart Middleton

Associate Professor

Research interests

  • Natural Language Processing
  • Human-in-the-loop NLP: Active Learning, Adversarial Training, Rationale-based Learning, Interactive Sense Making
  • Information Extraction: Few/Zero Shot Learning, Graph-based Models, Behaviour Classification, Geoparsing/Location Extraction, Event Extraction, Argument Mining
Connect with Stuart

Email: [email protected]

Professor Matt Ryan

Professor

Research interests

  • Democracy
  • Social Research Methods
  • Web Science
Connect with Matt

Email: [email protected]

Collaborating research institutes, centres and groups

Research outputs

Augmenting pre-trained language models with audio feature embedding for argumentation mining in political debates
Rafael Mestre, Stuart E. Middleton, Matt Ryan, Masood Gheasi, Timothy Norman & Jiatong Zhu, 2023
Type: conference
M-Arg: multimodal argument mining dataset for political debates with audio and transcripts
Rafael Mestre, Razvan Milicin, Stuart Middleton, Matthew Ryan, Jiatong Zhu & Timothy Norman, 2021
DOI: 10.18653/v1/2021.argmining-1.8
Type: conference