Phd Researcher

Project Coordinator "Linked Open Tafsir"

Office: Juridicum, Room 217a
Tel.: 069/798-32767
E-Mail: sahmed@em.uni-frankfurt.de

Research Interests

• Machine Learning
• Natural Language Processing
• Named Entity Recognition for analyzing historical literature
• Low-resource languages

Publications

• S. Ahmed, M. Rehman, E. Mahmutovic, J. Tischlik , C. S. Kruse and O. Özsoy, "Linked Open Tafsir – Rekonstruktion der  Entstehungsdynamik(en) des Korans" in 8. Jahrestagung des Verbandes Digital Humanities im deutschsprachigen Raum (DHd), 2022.
• S. Ahmed, M. Stoeckel, C. Driller, A. Pachzelt, and A. Mehler, “BIOfid Dataset: Publishing a German Gold Standard for Named Entity Recognition in Historical Biodiversity Literature” in Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), 2019.
• S. Schweter and S. Ahmed, “Deep-EOS: General-Purpose Neural Networks for Sentence Boundary Detection” in Proceedings of the 15th Conference on Natural Language Processing (KONVENS), 2019.
• S. Ahmed and A. Mehler, “Resource-Size matters: Improving Neural Named Entity Recognition with Optimized Large Corpora” in Proceedings of the 17th IEEE International Conference on Machine Learning and Applications (ICMLA), 2018.
• C. Weiland, C. Driller, M. Koch, M. Schmidt, G. Abrami, S. Ahmed, A. Mehler, A. Pachzelt, G. Kasperek, A. Hausinger, and T. Hörnschemeyer, “BioFID, a platform to enhance accessibility of biodiversity data” in Proceedings of the 10th International Conference on Ecological Informatics, 2018.
• C. Driller, M. Koch, M. Schmidt, C. Weiland, T. Hörnschemeyer, T. Hickler, G. Abrami, S. Ahmed, R. Gleim, W. Hemati, T. Uslu, A. Mehler, A. Pachzelt, J. Rexhepi, T. Risse, J. Schuster, G. Kasperek, and A. Hausinger, “Workflow and Current Achievements of BIOfid, an Information Service Mobilizing Biodiversity Data from Literature Sources” Biodiversity Information Science and Standards, vol. 2, p. e25876, 2018.
• S. Ahmed, "Steps towards Question Answering with Deep Neural Memory Networks" in Fraunhofer-Publica, Master Thesis, 2017.