Dr Paul Piwek

Senior Lecturer

My aim is to help people process, understand, reason with, argue about and make better decisions with information, by developing flexible ways to communicate and interact with information.

My research is in the area of Artificial Intelligence and Natural Language Processing, in particular, Natural Language Generation (NLG) and Dialogue Modelling. I investigate the role of inference, reasoning and argumentation in communication, and lead research projects on dialogue and question generation.

Currently I lead the collaborative EPSRC Opening Up Minds project. Previously, I was principal investigator of the EPSRC CODA project and co-investigator of the NESTA DataMix project.

Keywords

Natural Generation Generation, Dialogue Modelling, Argumentation,

Publications

Domingo, Cecilia, Piwek, Paul, Wermelinger, Michel and Stoyanchev, Svetlana ,(2024). Annotation Needs for Referring Expressions in Pair-Programming Dialogue. In: SemDial'24 â 28th Workshop on the Semantics and Pragmatics of Dialogue, 11-12 Sep 2024, Trento, Italy.

Piwek, Paul ,(2024). Are conversational large language models speakers? In: SemDial 2024: The 28th Workshop on the Semantics and Pragmatics of Dialogue, 11-12 Sep 2024, Rovereto, Italy.

Piwek, Paul, Power, Richard and Williams, Sandra ,(2006). Generating scripts for personalised medical dialogues for patients. Department of Computing, The Open University.

Stoyanchev, Svetlana and Piwek, Paul ,(2010). Annotation Scheme for Authored Dialogues. Version 1.1. Department of Computing, The Open University.

Domingo, Cecilia, Piwek, Paul, Stoyanchev, Svetlana and Wermelinger, Michel ,(2023). Discourse annotation - Towards a dialogue system for pair programming. TAL Journal, 63(3), pp. 11â35.

Farag, Youmna, Brand, Charlotte, Amidei, Jacopo, Piwek, Paul, Stafford, Tom, Stoyanchev, Svetlana and Vlachos, Andreas ,(2022). Opening up Minds with Argumentative Dialogues. In: EMNLP 2022: The 2022 Conference on Empirical Methods in Natural Language Processing, 7-11 Dec 2022, Abu Dhabi, United Arab Emirates.

Amidei, Jacopo, Piwek, Paul and Stoyanchev, Svetlana ,(2021). QTMM2012c+: A Queryable Empirically- Grounded Resource of Dialogue with Argumentation. In: 5th Workshop on Advances in Argumentation in Artificial Intelligence, 29 Nov 2021, Online event.

Howson, Oliver, Adeliyi, Adeola, Willis, Alistair, Hirst, Tony, Charlton, Patricia, Gooch, Daniel, Rosewell, Jonathan, Richards, Mike, Wermelinger, Michel, Piwek, Paul, Savage, Simon, Lowndes, Charly, Thomas, Elaine and Smith, Andrew ,(2020). Best Practices in using Technological Infrastructures. The Institute of Coding.

Withington, Lucy, Diaz Pardo de Vera, David, Guest, Claire, Mancini, Clara and Piwek, Paul ,(2021). Artificial Neural Networks for classifying the time series sensor data generated by medical detection dogs. Expert Systems with Applications, 184

Amidei, Jacopo, Piwek, Paul and Willis, Alistair ,(2020). Identifying Annotator Bias: A new IRT-based method for bias identification. In: Proceedings of The 28th International Conference on Computational Linguistics (COLING), 8-13 Dec 2020, Barcelona, Spain.

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