Iman Bilal

About Me

I am a final year PhD Candidate in the Department of Computer Science at Warwick University. I am working with Prof Rob Procter (Warwick University & ATI) and Prof Maria Liakata (Queen Mary University London & ATI) as my supervisors. My main interests lie in the field of natural language processing and machine learning with applications in digital journalism and Responsible AI. My current work focuses on explainability of ML models for fake news detection and automatic summarisation for social media platforms.

Research Interests

Natural Language Processing (NLP), Automatic Text Summarisation, Abstractive Summarisation, Explainable NLP, Free-text Explainability, Natural Language Generation, Rumour Verification, Social Media Applications, Machine Learning

Research Projects

August 2023 - October 2023: Research Assistant for Mohamed bin Zayed University of Artificial Intelligence, UAE
July 2022 - July 2023 : Research Assistant for GoLab, Oxford University, UK, “Systematic Reviews Supercharged: Employing Machine Learning Tools to Support Systematic Review on Outcomes Based Contracting”
June 2022 - March 2023 : Research Assistant for the Alan Turing Institute, UK, “Building Transparent AI Systems: General principles and case studies from NLP”
October 2021 - September 2022 : Enrichment Student at the Alan Turing Institute, UK

Publications

Iman Munire Bilal, Preslav Nakov, Rob Procter, Maria Liakata; Generating Zero-shot Abstractive Explanations for Rumour Verification. October 2023
Iman Munire Bilal, Bo Wang, Adam Tsakalidis, Dong Nguyen, Rob Procter, Maria Liakata; Template-based Abstractive Microblog Opinion Summarization. Transactions of the Association for Computational Linguistics 2022; 10 1229–1248.
Jiayu Song, Iman Munire Bilal, Adam Tsakalidis, Rob Procter, and Maria Liakata. 2022. Unsupervised Opinion Summarisation in the Wasserstein Space. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8592–8607, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics.
Rabab Alkhalifa, Iman Bilal, Hsuvas Borkakoty, Jose Camacho-Collados, Romain Deveaud, Alaa El-Ebshihy, Luis Espinosa-Anke, Gabriela Gonzalez-Saez, Petra Galuščáková, Lorraine Goeuriot, Elena Kochkina, Maria Liakata, Daniel Loureiro, Harish Tayyar Madabushi, Philippe Mulhem, Florina Piroi, Martin Popel, Christophe Servan & Arkaitz Zubiaga (2023). LongEval: Longitudinal Evaluation of Model Performance at CLEF 2023. In Advances in Information Retrieval. ECIR 2023. Lecture Notes in Computer Science, vol 13982. Springer, Cham.
Adam Tsakalidis, Jenny Chim, Iman Munire Bilal, Ayah Zirikly, Dana Atzil-Slonim, Federico Nanni, Philip Resnik, Manas Gaur, Kaushik Roy, Becky Inkster, Jeff Leintz, and Maria Liakata: “Overview of the CLPsych 2022 Shared Task: Capturing Moments of Change in Longitudinal User Posts” In Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology, pages 184–198, Seattle, USA. Association for Computational Linguistics.
Iman Munire Bilal, Bo Wang, Maria Liakata, Rob Procter, and Adam Tsakalidis: “Evaluation of Thematic Coherence in Microblogs” In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 6800–6814, Online. Association for Computational Linguistics.

Education

December 2019 - present: PhD in Computer Science, NLP Specialisation, University of Warwick
October 2018 - September 2019: MSc in Data Analytics, University of Warwick
October 2015 - June 2018: BA (Hons) in Mathematics, University of Cambridge

Teaching

CS130: Mathematics for Computer Scientists I
CS131: Mathematics for Computer Scientists II
CS910/430: Foundations of Data Analytics
CS916/348: Social Informatics