Publications

2024

Faizan E Mustafa, Corina Dima, Juan Ochoa, and Steffen Staab. 2024. Leveraging Wikidata for Biomedical Entity Linking in a Low-Resource Setting: A Case Study for German. In Proceedings of the 6th Clinical Natural Language Processing Workshop, pages 202–207, Mexico City, Mexico. Association for Computational Linguistics. [paper] [code] [dataset] [model]
Ochoa, J. G. D., Mustafa, F. E., Weil, F., Wang, Y., Dima, C., Kama, K., & Knott, M. (2023). The Aluminum Standard: Using Generative Artificial Intelligence Tools to Synthesize and Annotate Non-Structured Patient Data. [paper] (Preprint)

F. E. Mustafa, “DEExtract: A Customizable Context-Based German Vocabulary Learning Tool,” 2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), Sakheer, Bahrain, 2023, pp. 65-69, doi: 10.1109/3ICT60104.2023.10391702. [paper] [code] [dataset]
Faizan E Mustafa, Rafika Boutalbi, and Anastasiia Iurshina. 2023. Annotating PubMed Abstracts with MeSH Headings using Graph Neural Network. In The Fourth Workshop on Insights from Negative Results in NLP, pages 75–81, Dubrovnik, Croatia. Association for Computational Linguistics. [paper] [code]
Part of the program committee as a reviewer at the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023) [link]

Ochoa, J.G., & Mustafa, F.E. (2022). Graph neural network modelling as a potentially effective method for predicting and analyzing procedures based on patients’ diagnoses. Artificial intelligence in medicine, 131, 102359. [paper]
Ochoa, J. G. D., & Mustafa, F. E. (2022, November). Reliability of Saliency Methods Used in Graph Neural Network Models. In 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) (pp. 44-49). IEEE. [paper]