Conference Proceedings

  • Şahinuç, F., Tran, T.T., Grishina, Y., Chen, B., Hou, Y., & Gurevych, I. (2024). Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, (pp. 7963–7977).
  • Şahinuç, F., Kuznetsov, I., Hou, Y., & Gurevych, I. (2024). Systematic Task Exploration with LLMs: A Study in Citation Text Generation. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), (pp. 4832–4855).
  • Toraman, C., Ozcelik, O., Şahinuç, F. & Can, F. (2024). MiDe22: An Annotated Multi-Event Tweet Dataset for Misinformation Detection. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), (pp. 11283–11295).
  • Toraman, C., Şahinuç, F. & Yilmaz, E. H. (2022). Large-scale Hate Speech Detection with Cross-domain Transfer. In Proceedings of The Language Resources and Evaluation Conference (LREC), (pp. 2215–2225).
  • Toraman, C., Şahinuç, F. & Yilmaz, E. H. (2022). BlackLivesMatter2020: An Analysis of Deleted and Suspended Users in Twitter. In 14th ACM Web Science Conference 2022, (pp. 290–295).
  • Toraman, C., Ozcelik, O., Şahinuç, F. & Sahin, U. (2022). ARC-NLP at CheckThat! 2022: Contradiction for Harmful Tweet Detection. In Working notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, (pp. 722-739).
  • Ozcelik, O., Yilmaz, E. H., Şahinuç, F. & Toraman, C. (2022). Slot Filling for Voice Assistants. In 30th Signal Processing and Communications Applications Conference (SIU), (pp. 1–4).
  • Şahinuç, F. & Toraman, C. (2021). Tweet Length Matters: A Comparative Analysis on Topic Detection in Microblogs. In European Conference on Information Retrieval (ECIR), (pp. 471–478).
  • Şahinuç, F., Toraman, C. & Koç, A. (2021). Topic Detection Based on Deep Learning Language Model in Turkish Microblogs. In 29th Signal Processing and Communications Applications Conference (SIU), (pp. 1–4).
  • Şahinuç, F., Yücesoy, V. & Koç, A. (2020). Intent Classification and Slot Filling for Turkish Dialogue Systems. In 28th Signal Processing and Communications Applications Conference (SIU), (pp. 1–4).

Journal Articles

  • Toraman, C., Şahinuç, F., Yilmaz, E. H. & Ozcelik, O. (2023). Impact of Tokenization on Language Models: An Analysis for Turkish. ACM Transactions on Asian and Low-Resource Language Information Processing. 22(4), 1-21.
  • Şahinuç, F. & Koç, A. (2022). Fractional Fourier Transform Meets Transformer Encoder. IEEE Signal Processing Letters. 29, 2258-2262.
  • Şahinuç, F., Yilmaz, E. H., Toraman, C. & Koç, A. (2022). The Effect of Gender Bias on Hate Speech Detection. Signal, Image and Video Processing.
  • Şenel, L. K., Şahinuç, F., Yücesoy, V., Schütze, H., Çukur, T. & Koç, A. (2022). Learning Interpretable Word Embeddings via Bidirectional Alignment of Embedding Dimensions with Semantic Concepts. Information Processing & Management, 59(3), 102925.
  • Sevim, N., Şahinuç, F. & Koç, A. (2022). Gender Bias in Legal Corpora and Debiasing it. Natural Language Engineering, 29(2), 449-482.
  • Toraman, C., Şahinuç, F., Yilmaz, E. H. & Akkaya, I. B. (2022). Understanding Social Engagements: A Comparative Analysis of User and Text Features in Twitter. Social Network Analysis and Mining, 12(47).
  • Şahinuç, F. & Koç, A. (2021). Zipfian Regularities in Non-point Word Representations. Information Processing & Management, 58(3), 102493.
  • Şenel, L. K., Utlu, İ., Şahinuç, F., Ozaktas, H. M. & Koç, A. (2020). Imparting Interpretability to Word Embeddings While Preserving Semantic Structure. Natural Language Engineering, 27(6), 721–746.

Arxiv Preprints

  • Sevim, N., Ozyedek, E. O., Şahinuç, F. & Koç, A. (2022). Fast-FNet: Accelerating Transformer Encoder Models via Efficient Fourier Layers.