@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://aclanthology.org/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 {``}Multilingual Complex Named Entity Recognition (MultiCoNER II){''}, 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.",
}

This paper presents D2KLab{'}s system used for the shared task of {``}Multilingual Complex Named Entity Recognition (MultiCoNER II){''}, 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.
Ehrhart, Thibault Plu, Julien Troncy, Raphael
D2KLab at SemEval-2023 Task 2: Leveraging T-NER to Develop a Fine-Tuned Multilingual Model for Complex Named Entity Recognition