Efficient and Effective Case Reject-Accept Filtering: A Study Using Machine Learning. - Robert Bevan; Alessandro Torrisi; Katie Atkinson; Danushka Bollegala; Frans Coenen (JURIX, 2018)

Automated Bundle Pagination Using Machine Learning. - Alessandro Torrisi; Robert Bevan; Katie Atkinson; Danushka Bollegala; Frans Coenen (ICAIL, 2019)

Extracting Supporting Evidence from Medical Negligence Claim Texts. - Robert Bevan; Alessandro Torrisi; Danushka Bollegala; Frans Coenen; Katie Atkinson (KDH@IJCAI, 2019)

Combining Textual and Visual Information for Typed and Handwritten Text Separation in Legal Documents. - Alessandro Torrisi; Robert Bevan; Katie Atkinson; Danushka Bollegala; Frans Coenen (JURIX, 2019)

Experiments in Non-Personalized Future Blood Glucose Level Prediction. - Robert Bevan; Frans Coenen (KDH@ECAI, 2020)

MDC at BioLaySumm Task 1: Evaluating GPT Models for Biomedical Lay Summarization. - Oisn Turbitt; Robert Bevan; Mouhamad Aboshokor (BioNLP@ACL, 2023)

MDC at SemEval-2023 Task 7: Fine-tuning Transformers for Textual Entailment Prediction and Evidence Retrieval in Clinical Trials. - Robert Bevan; Oisn Turbitt; Mouhamad Aboshokor (SemEval@ACL, 2023)

Chemical identification and indexing in full-text articles: an overview of the NLM-Chem track at BioCreative VII. - Robert Leaman; Rezarta Islamaj; Virginia Adams; Mohammed Alliheedi; João Rafael Almeida; Rui Antunes 002; Robert Bevan; Yung-Chun Chang; Arslan Erdengasileng; Matthew Hodgskiss; Ryuki Ida; Hyunjae Kim; et al. (Database J. Biol. Databases Curation, 2023)