Robert Bevan

According to our database, Robert Bevan authored at least 8 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Robert Bevan, Yung-Chun Chang, Arslan Erdengasileng, Matthew Hodgskiss, Ryuki Ida, Hyunjae Kim, Keqiao Li, Robert E. Mercer, Lukrécia Mertová, Ghadeer Mobasher, Hoo-Chang Shin, Mujeen Sung, Tomoki Tsujimura, Wen-Chao Yeh, Zhiyong Lu

Database J. Biol. Databases Curation, 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

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

MDC at BioLaySumm Task 1: Evaluating GPT Models for Biomedical Lay Summarization.

Oisn Turbitt, Robert Bevan, Mouhamad Aboshokor

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

2020

Experiments in Non-Personalized Future Blood Glucose Level Prediction.

Robert Bevan, Frans Coenen

Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, 2020

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

Proceedings of the Legal Knowledge and Information Systems, 2019

Extracting Supporting Evidence from Medical Negligence Claim Texts.

Robert Bevan, Alessandro Torrisi, Danushka Bollegala, Frans Coenen, Katie Atkinson

Proceedings of the 4th International Workshop on Knowledge Discovery in Healthcare Data co-located with the 28th International Joint Conference on Artificial Intelligence, 2019

Automated Bundle Pagination Using Machine Learning.

Alessandro Torrisi, Robert Bevan, Katie Atkinson, Danushka Bollegala, Frans Coenen

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law, 2019

2018

Efficient and Effective Case Reject-Accept Filtering: A Study Using Machine Learning.

Robert Bevan, Alessandro Torrisi, Katie Atkinson, Danushka Bollegala, Frans Coenen

Proceedings of the Legal Knowledge and Information Systems, 2018