@inproceedings{ehrhart-etal-2023-d2klab,
    title = "{D}2{KL}ab at {S}em{E}val-2023 Task 2: Leveraging {T}-{NER} to Develop a Fine-Tuned Multilingual Model for Complex Named Entity Recognition",
    author = "Ehrhart, Thibault  and
      Plu, Julien  and
      Troncy, Raphael",
    editor = {Ojha, Atul Kr.  and
      Do{\u{g}}ru{\"o}z, A. Seza  and
      Da San Martino, Giovanni  and
      Tayyar Madabushi, Harish  and
      Kumar, Ritesh  and
      Sartori, Elisa},
    booktitle = "Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2023.semeval-1.115/",
    doi = "10.18653/v1/2023.semeval-1.115",
    pages = "836--840",
    abstract = "This paper presents D2KLab`s system used for the shared task of {\textquotedblleft}Multilingual Complex Named Entity Recognition (MultiCoNER II){\textquotedblright}, as part of SemEval 2023 Task 2. The system relies on a fine-tuned transformer based language model for extracting named entities. In addition to the architecture of the system, we discuss our results and observations."
}