Academic


Currently working on

  • MLOps
  • Visual large language models
  • Audio-in large language models for rare languages
  • Morphological analysis using large language models
  • Sequence-to-sequence transformers

Research interests

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

Publications

  • Ahmet Yildirim, Kristin Hagen, Dag Trygve Truslew Haug, Automatic Lemmatisation for Norwegian, Proceedings of the Workshop on Structured Linguistic Data and Evaluation (SLiDE 2026), pages 93–103, May 11, 2026, ELRA Language Resources Association (ELRA).
  • Ahmet Yildirim 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 Yildirim, 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.

Education

  • 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)