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.


Natural Generation Generation, Dialogue Modelling, Argumentation,


Farag, Youmna, Brand, Charlotte, Amidei, Jacopo,Piwek, Paul, Stafford, Tom, Stoyanchev, Svetlana and Vlachos, Andreas ,(2022). Opening up Minds with Argumentative Dialogues. In: Findings of EMNLP (Empirical Methods in Natural Language Processing) (In Press).

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, article no. 115564.

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, pp. 4787–4797.

Savage, Simon and Piwek, Paul(2019). Full report on challenges with learning to program and problem solve: an analysis of first year undergraduate Open University distance learning students' online discussions. The Open University, Milton Keynes.

Piwek, Paul and Savage, Simon(2020). Challenges with Learning to Program and Problem Solve: An Analysis of Student Online Discussions. In: SIGCSE '20: Proceedings of the 51st ACM Technical Symposium on Computer Science Education, ACM, New York, pp. 494–499.

Amidei, Jacopo , Piwek, Paul and Willis, Alistair(2019). Agreement is overrated: A plea for correlation to assess human evaluation reliability. In: Proceedings of the 12th International Conference on Natural Language Generation, 29 Oct - 1 Nov 2019, Tokyo, Japan.

Amidei, Jacopo , Piwek, Paul and Willis, Alistair(2019). The use of rating and Likert scales in Natural Language Generation human evaluation tasks: A review and some recommendations. In: Proceedings of the 12th International Conference on Natural Language Generation, 29 Oct - 1 Nov 2019, Tokyo, Japan.

Piwek, Paul, Wermelinger, Michel, Laney, Robin and Walker, Richard (2019). Learning to program: from problems to code. In: Third Conference in Computing Education Practice (CEP), 9 Jan 2019, Durham, UK, Association for Computing Machinery (ACM).


Opening Up Minds


Artificial Intelligence and Data Analysis


Citizen Empowerment, Politics and Government

Learning and Education


Natural Language Processing (NLP)

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