Currently working on

  • Morphological analysis using deep neural networks
  • Sequence-to-sequence transformers
  • Glue Semantics
  • Discourse Representation Structures

Research interests

  • Natural language processing
  • Machine learning, transformers, generative models
  • Semantic Web


  • Ahmet Yıldırım and Dag Trygve Truslew Haug, Experiments in training transformer sequence-to-sequence DRS parsers, The 15th International Conference on Computational Semantics, IWCS 2023, Nancy, France
  • Dag T. T. Haug, Jamie Y. Findlay, and Ahmet Yıldırım, The long and the short of it: DRASTIC, a semantically annotated dataset containing sentences of more natural length, The 4th International, Workshop on Designing Meaning Representation, DMR2023, Nancy, France
  • Dag Haug, Ahmet Yildirim, Kristin Hagen, Anders Nøklestad, Rules and neural nets for morphological tagging of Norwegian - Results and challenges. In Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa), 425–435, Tórshavn, Faroe Islands,  2023.
  • Jamie Y. Findlay, Saeedeh Salimifar, Ahmet Yıldırım, Dag T. T. Haug, Rule-based semantic interpretation for Universal Dependencies. Sixth Workshop on Universal Dependencies (UDW, GURT/SyntaxFest 2023), 47–57, Washington, D.C., ACL, 2023
  • Ahmet Yıldırım, Meltem Çetiner, Cüneyt Öksüz, Bahadır Onay, A search tool in Turkish using contextual vectors, IEEE Signal Processing and Communications Applications Conference (SIU), 2021
  • Meltem Çetiner, Ahmet Yıldırım, Bahadır Onay, Cüneyt Öksüz, Word Sense Disambiguation using KeNet,  IEEE Signal Processing and Communications Applications Conference (SIU), 2021
  • Topic identification within microblog post collections. PhD. Thesis. Boğaziçi University. Jan 2023.
  • Ahmet Yıldırım, Suzan Üsküdarlı. Microblog topic identification using Linked Open Data. PLoS ONE, 15(8): e0236863, 2020.
  • Ahmet Yıldırım, Suzan Uskudarli, The Information Revealed by Processing Semantic Topics Extracted from Collective Short Posts, IEEE Signal Processing and Communications Applications Conference (SIU), 2018
  • Ahmet Yıldırım, Suzan Üsküdarlı, Arzucan Özgür. Identifying Topics in Microblogs Using Wikipedia. PLoS ONE, 11(3): e0151885, 2016.
  • Ahmet Yıldırım, Suzan Üsküdarlı, Exploring Affinity Among Users and Contributions of Users in Microblogger Environments, TWCS 2010, International Conference on Complex Systems, Turunc, Marmaris
  • Ahmet Yıldırım, Suzan Üsküdarlı, Semantic tagging and Inference in Online Communities, Proceedings of I-SEMANTICS'08, International Conference on Semantic Systems, September 3-5, 2008, Graz, Austria
  • Semantic Tagging and Inference in Social Networks. MS Thesis. Boğaziçi University. Jan 2008.


  • Ph.D. in Computer Engineering, Boğaziçi University (Grad: 2020)
  • MSc in Software Engineering, Boğaziçi University (Grad: 2007)
  • BSc in Computer Engineering, Karadeniz Technical University (Grad:2005)