School of Informatics AUTh
Georgios Aivatoglou, Alexia Fytili, Georgios Arampatzis, Dimitrios Zaikis, Stylianou Nikolaos, and Ioannis Vlahavas. “End-to-end Aspect Extraction and Aspect-Based Sentiment Analysis Framework for Low-Resource Languages.” In: Intelligent Systems Conference (IntelliSys) 2023. Series Title: Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2023.
Dimitrios Zaikis, Nikolaos Stylianou, and Ioannis Vlahavas. “PIMA: Parameter-Shared Intelligent Media Analytics Framework for Low Resource Languages.” In: Applied Sciences 13.5 (Mar. 2023). IF: 2.7, p. 3265. issn: 2076-3417. doi: 10.3390/app13053265. url: https://www.mdpi.com/2076-3417/13/5/3265.
A. Georgoudi, N. Stylianou, I. Konstantinidis, G. Meditskos, Th. Mavropoulos, S. Vrochidis, N. Bassiliades, “Towards Knowledge Graph Creation from Greek Governmental Documents”, In: Fujita, H., Wang, Y., Xiao, Y., Moonis, A. (eds), Advances and Trends in Artificial Intelligence. Theory and Applications. The 36th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE2023), 19-22 July 2023, Shanghai, China, Lecture Notes in Computer Science, vol 13925. Springer, Cham, 2023.
Stylianou, Nikolaos, Panagiotis Kosmoliaptsis, and Ioannis Vlahavas. "Improved Biomedical Entity Recognition via Longer Context Modeling." IFIP International Conference on Artificial Intelligence Applications and Innovations. Springer, Cham, 2021.
Stylianou, Nikolaos, and Ioannis Vlahavas. "CoreLM: Coreference-aware Language Model Fine-Tuning." Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference. 2021.
Stylianou, N., Vlachava, D., Konstantinidis, I., Bassiliades, N. and Persiteras, V., Doc2KG: Transforming Document Repositories to Knowledge Graphs. International Journal on Semantic Web and Information Systems, Vol. 18, no. 1, pp. 1-20, 2022
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.