TU Wien Informatics

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Alaa Mohamed Elebshihy

Projektass. / BSc MSc

Alaa Mohamed Elebshihy

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  • Overview of the CLEF 2024 LongEval Lab on Longitudinal Evaluation of Model Performance / Alkhalifa, R., Borkakoty, H., Deveaud, R., El-Ebshihy, A., Espinosa-Anke, L., Fink, T., Galuščáková, P., Gonzalez-Saez, G., Goeuriot, L., Iommi, D., Liakata, M., Madabushi, H. T., Medina-Alias, P., Mulhem, P., Piroi, F., Popel, M., & Zubiaga, A. (2024). Overview of the CLEF 2024 LongEval Lab on Longitudinal Evaluation of Model Performance. In Experimental IR Meets Multilinguality, Multimodality, and Interaction : 15th International Conference of the CLEF Association, CLEF 2024, Grenoble, France, September 9–12, 2024, Proceedings, Part II (pp. 208–230). Springer. https://doi.org/10.1007/978-3-031-71908-0_10
  • Extended overview of the CLEF 2024 LongEval Lab on Longitudinal Evaluation of Model Performance / Alkhalifa, R., Borkakoty, H., Deveaud, R., El-Ebshihy, A., Espinosa-Anke, L., Fink, T., Galuščáková, P., Gonzalez-Saez, G., Goeuriot, L., Iommi, D., Liakata, M., Tayyar Madabushi, H., Medina-Alias, P., Mulhem, P., Piroi, F., Popel, M., & Zubiaga, A. (2024). Extended overview of the CLEF 2024 LongEval Lab on Longitudinal Evaluation of Model Performance. In Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024) (pp. 2267–2289). http://hdl.handle.net/20.500.12708/210281
  • AMATU@Simpletext2024: Are LLMs Any Good for Scientific Leaderboard Extraction? : Notebook for the SimpleText Lab at CLEF 2024 / Staudinger, M., El-Ebshihy, A., Ningtyas, A. M., Piroi, F., & Hanbury, A. (2024). AMATU@Simpletext2024: Are LLMs Any Good for Scientific Leaderboard Extraction? : Notebook for the SimpleText Lab at CLEF 2024. In G. Faggioli, N. Ferro, P. Galuščáková, & A. Garcia Seco de Herrera (Eds.), CLEF 2024 Working Notes: Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024) (pp. 3300–3316).
  • LongEval: Longitudinal Evaluation of Model Performance at CLEF 2024 / Alkhalifa, R., Borkakoty, H., Deveaud, R., El-Ebshihy, A., Espinosa-Anke, L., Fink, T., Gonzalez-Saez, G., Galuščáková, P., Goeuriot, L., Iommi, D., Liakata, M., Madabushi, H. T., Medina-Alias, P., Mulhem, P., Piroi, F., Popel, M., Servan, C., & Zubiaga, A. (2024). LongEval: Longitudinal Evaluation of Model Performance at CLEF 2024. In Advances in Information Retrieval : 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24–28, 2024, Proceedings, Part VI (pp. 60–66). https://doi.org/10.1007/978-3-031-56072-9_8
  • Improving Laypeople Familiarity with Medical Terms by Informal Medical Entity Linking / Ningtyas, A. M., El-Ebshihy, A., Piroi, F., & Hanbury, A. (2024). Improving Laypeople Familiarity with Medical Terms by Informal Medical Entity Linking. In Experimental IR Meets Multilinguality, Multimodality, and Interaction : 15th International Conference of the CLEF Association, CLEF 2024, Grenoble, France, September 9–12, 2024, Proceedings, Part I (pp. 113–126). https://doi.org/10.1007/978-3-031-71736-9_6
  • Identifying and Representing Knowledge Delta in Scientific Literature / El-Ebshihy, A. (2023). Identifying and Representing Knowledge Delta in Scientific Literature. In J. Kamps, L. Goeuriot, F. Crestani, M. Maistro, H. Joho, B. Davis, C. Gurrin, U. Kruschwitz, & A. Caputo (Eds.), Advances in Information Retrieval: 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2–6, 2023, Proceedings, Part III (pp. 436–442). https://doi.org/10.1007/978-3-031-28241-6_49
  • Predicting Retrieval Performance Changes in Evolving Evaluation Environments / El-Ebshihy, A., Fink, T., Gonzalez-Saez, G., Galuščáková, P., Piroi, F., Iommi, D., Goeuriot, L., & Mulhem, P. (2023). Predicting Retrieval Performance Changes in Evolving Evaluation Environments. In A. Arampatzis, E. Kanoulas, T. Tsikrika, S. Vrochidis, A. Giachanou, D. Li, M. Aliannejadi, M. Vlachos, G. Faggioli, & N. Ferro (Eds.), Experimental IR Meets Multilinguality, Multimodality, and Interaction : 14th International Conference of the CLEF Association, CLEF 2023, Thessaloniki, Greece, September 18–21, 2023, Proceedings (pp. 21–33). Springer. https://doi.org/10.1007/978-3-031-42448-9_3
  • Using Semi-automatic Annotation Platform to Create Corpus for Argumentative Zoning / El-Ebshihy, A., Ningtyas, A. M., Piroi, F., Rauber, A., Romadhony, A., Faraby, S. A., & Sabariah, M. K. (2023). Using Semi-automatic Annotation Platform to Create Corpus for Argumentative Zoning. In O. Alonso, H. Cousijn, G. Silvello, M. Marrero, C. Teixeira Lopes, & S. Marchesin (Eds.), Linking Theory and Practice of Digital Libraries: 27th International Conference on Theory and Practice of Digital Libraries, TPDL 2023, Zadar, Croatia, September 26–29, 2023, Proceedings (pp. 132–145). Springer. https://doi.org/10.1007/978-3-031-43849-3_12
    Project: AR-Science (2019–2022)
  • Towards a Toolbox for Automated Assessment of Machine-Actionable Data Management Plans / Miksa, T., Suchánek, M., Slifka, J., Knaisl, V., Ekaputra, F. J., Kovacevic, F., Ningtyas, A. M., El-Ebshihy, A. M., & Pergl, R. (2023). Towards a Toolbox for Automated Assessment of Machine-Actionable Data Management Plans. Data Science Journal, 22, Article 28. https://doi.org/10.5334/dsj-2023-028
  • A Platform for Argumentative Zoning Annotation and Scientific Summarization / El-Ebshihy, A., Ningtyas, A. M., Andersson, L., Piroi, F., & Rauber, A. (2022). A Platform for Argumentative Zoning Annotation and Scientific Summarization. In M. A. Hasan & L. Xiong (Eds.), CIKM ’22: Proceedings of the 31st ACM International Conference on Information & Knowledge Management (pp. 4843–4847). Association for Computing Machinery (ACM). https://doi.org/10.1145/3511808.3557193
    Project: AR-Science (2019–2022)
  • Benchmark for Research Theme Classification of Scholarly Documents / Mendoza, O., Kusa, W., El-Ebshihy, A. M., Wu, R., Pride, D., Knoth, P., Herrmannova, D., Piroi, F., Pasi, G., & Hanbury, A. (2022). Benchmark for Research Theme Classification of Scholarly Documents. In Proceedings of the Workshop. Third Workshop on Scholarly Document Processing (pp. 253–262). Association for Computational Linguistics. https://doi.org/10.34726/4521
    Download: PDF (519 KB)
    Project: DoSSIER (2019–2024)
  • Leveraging Wikipedia Knowledge for Distant Supervision in Medical Concept Normalization / Ningtyas, A. M., El-Ebshihy, A., Herwanto, G. B., Piroi, F., & Hanbury, A. (2022). Leveraging Wikipedia Knowledge for Distant Supervision in Medical Concept Normalization. In Experimental IR Meets Multilinguality, Multimodality, and Interaction (pp. 33–47). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-031-13643-6_3
  • Semi-automatic Labelling of Scientific Articles using Deep Learning to Enlarge Benchmark Data for Scientific Summarization / El-Ebshihy, A. (2021). Semi-automatic Labelling of Scientific Articles using Deep Learning to Enlarge Benchmark Data for Scientific Summarization. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 2707–2707). https://doi.org/10.1145/3404835.3463271
    Project: AR-Science (2019–2022)
  • TUW-IFS at TREC NEWS 2020 Wikification Task / Ningtyas, A. M., El-Ebshihy, A., Piroi, F., Andersson, L., & Hanbury, A. (2021). TUW-IFS at TREC NEWS 2020 Wikification Task. In The Twenty-Ninth Text REtrieval Conference (TREC 2020) Proceedings (pp. 1–10). NIST. http://hdl.handle.net/20.500.12708/58735
  • ARTU / TU Wien and Artificial Researcher@ LongSumm 20 / El-Ebshihy, A., Ningtyas, A. M., Andersson, L., Piroi, F., & Rauber, A. (2020). ARTU / TU Wien and Artificial Researcher@ LongSumm 20. In Proceedings of the First Workshop on Scholarly Document Processing. The Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.sdp-1.36