Yavuz Selim Kartal is a doctoral Student at GESIS – Leibniz Institute for the Social Sciences since September 2021. He received his B.S. degree in computer engineering from Middle East Technical University in 2018. In 2021, he received his M.Sc. degree in computer engineering from TOBB University of Economics and Technology.To top
Yavuz’s research interests include NLP, IR, Machine Learning/Deep Learning, and Semantic Web.To top
Kartal, Yavuz Selim, and Mucahid Kutlu. 2022. "Re-Think Before You Share: A Comprehensive Study on Prioritizing Check-Worthy Claims." IEEE Transactions on Computational Social Systems online first. doi: https://doi.org/10.1109/TCSS.2021.3138642.To top
Contribution to edited volume
Tsereteli, Tornike, Yavuz Selim Kartal, Simone Paolo Ponzetto, Andrea Zielinski, Kai Eckert, and Philipp Mayr. 2022. "Overview of the SV-Ident 2022 Shared Task on Survey Variable Identification in Social Science Publications." In Proceedings of the Third Workshop on Scholarly Document Processing, edited by Arman Cohan, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Drahomira Herrmannova, Petr Knoth, Kyle Lo, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard, and Lucy Lu Wang, 229–246. Association for Computational Linguistics. https://aclanthology.org/2022.sdp-1.29/.
Nakov, Preslav, Alberto Barrón-Cedeño, Giovanni Da San Martino, Firoj Alam, Julia Maria Struß, Thomas Mandl, Rubén Míguez, Tommaso Caselli, Mucahid Kutlu, Wajdi Zaghouani, Chengkai Li, Shaden Shaar, Gautam Kishore Shahi, Hamdy Mubarak, Alex Nikolov, Nikolay Babulkov, Yavuz Selim Kartal, and Javier Beltrán. 2022. "The CLEF-2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection." In Advances in Information Retrieval : 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022, Proceedings, Part II, Lecture Notes in Computer Science 13186, 416-428. Cham: Springer. https://doi.org/10.1007/978-3-030-99739-7_52.
Hövelmeyer, Alica, and Yavuz Selim Kartal. 2022. "Varanalysis@ sv-ident 2022: Variable detection and disambiguation based on semantic similarity." In Proceedings of the Third Workshop on Scholarly Document Processing, edited by Arman Cohan, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Drahomira Herrmannova, Petr Knoth, Kyle Lo, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard, and Lucy Lu Wang, 247–252. Association for Computational Linguistics. https://aclanthology.org/2022.sdp-1.30.
Kartal, Yavuz Selim, and Mucahid Kutlu. 2021. "TrClaim-19: The first collection for Turkish check-worthy claim detection with annotator rationales." Proceedings of the 24th Conference on Computational Natural Language Learning.To top
Working and discussion paper
Kartal, Yavuz Selim, Sotaro Takeshita, Tornike Tsereteli, Kai Eckert, Henning Kroll, Philipp Mayr-Schlegel, Simone Paolo Ponzetto, Benjamin Zapilko, and Andrea Zielinski. 2022. Towards Automated Survey Variable Search and Summarization in Social Science Publications. Arxiv. doi: https://doi.org/10.48550/arXiv.2209.06804. http://arxiv.org/abs/2209.06804.
Kartal, Yavuz Selim, and Mucahid Kutlu. 2020. "Machine learning based text summarization for turkish news." 2020 28th Signal Processing and Communications Applications Conference (SIU).