Chen Lyu
Chen is a PhD student started in October 2023, funded by the Computer Science Departmental Scholarship. She is under the supervison of Dr. Gabriele PergolaLink opens in a new window. Her primary research interests lie in Natural Language Generation, with a focus on Text Simplification and Text Summarization.
Teaching Assistant
Chen has worked as a TA in the following module:
- CS918: Natural Language Processing (2023/24, 2024/25)
Research Assistant
Chen has worked as a RA in the following projects:
- AI-Driven Analysis of Digital Communications Enhancing the Analysis of Drug and VAWG Evidence (2024/25 – Forensics Capability Network (FCN)
- Development of an NLP model to detect threatening and abusive language used in communication with victims (2023/24 - NPCC Forensic Capability Network)
-
On the News: AI that detects hate messages against women could also be turned on drug dealers | The Independent | Link opens in a new windowDaily Mail | Link opens in a new windowThe Standard | Link opens in a new windowMSN | Link opens in a new windowFCN (2024) | Link opens in a new windowFCN (2023)Link opens in a new window
-
Publications
- Xingwei Tan, Chen Lyu, Hafiz Muhammad Umer, Sahrish Khan, Mahathi Parvatham, Lois Arthurs, Simon Cullen, Shelley Wilson, Arshad Jhumka, and Gabriele Pergola.SafeSpeech: A Comprehensive and Interactive Tool for Analysing Sexist and Abusive Language in Conversations.In Proceedings of 2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics(NAACL), 2025.
- Chen Lyu and Gabriele Pergola. SciGisPy: a Novel Metric for Biomedical Text Simplification via Gist Inference Score. In Proceedings of the Third Workshop on Text Simplification, Accessibility and Readability (TSAR) at EMNLP, 2024.
- Chen Lyu and Gabriele Pergola. Society of Medical Simplifiers. In Proceedings of the Third Workshop on Text Simplification, Accessibility and Readability (TSAR) at EMNLP, 2024.
Contact Me
Email: chen.lyu@warwick.ac.uk
Social Media: https://twitter.com/chenlyu49