- Jeg undersøker, designer, bruker og driver dyplæringstilnærminger som trengs for forskningsprosjektene.
- Jeg bruker avanserte dyplæringsmetoder i semantisk representasjon.
-
Bakgrunn
- Ph.D., Informatikk, Boğaziçi University, Department of Computer Engineering (2020)
- MSc., Software Engineering, Boğaziçi University (2007)
- BSc., Informatikk, Karadeniz Technical University (2005)
Publikasjoner
- 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 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. 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
Emneord:
Kunstig intelligens,
Digital humaniora,
Språkteknologi
Publisert
2. aug. 2021 13:13
- Sist endret
27. mai 2024 13:35