School of Informatics AUTh
Stylianou, Nikolaos, and Ioannis Vlahavas. "TransforMED: End-to-End Transformers for Evidence-Based Medicine and Argument Mining in medical literature." Journal of Biomedical Informatics (2021): 103767.
Stylianou, N., and Vlahavas, I., 2021. A neural Entity Coreference Resolution review. Expert Systems With Applications 168, p.114466.
Stylianou, N., and Vlahavas, I., "E.T.: Entity-Transformers. Coreference Augmented Neural Language Model for Richer Mention Representations via Entity-Transformer Blocks" in Proceedings of the Third Workshop on Computational Models of Reference, Anaphora and Coreference, Association for Computational Linguistics, Barcelona, Spain (online). pp. 1–10.
Stylianou, N., Razis, G., Goulis, D.G. and Vlahavas, I., 2020. EBM+: Advancing Evidence-Based Medicine via two level automatic identification of Populations, Interventions, Outcomes in medical literature. Artificial Intelligence in Medicine 108, p.101949.
