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. We present the architecture of the system, and we discuss our results and observations. Our implementation is open sourced at https://github.com/D2KLab/multiconer.
D2KLab at SemEval-2023 Task 2: Leveraging T-NER to develop a fine-tuned multilingual model for complex named entity recognition
SemEval 2023, 17th International Workshop on Semantic Evaluation, co-located with ACL-2023, 13-14 July 2023, Toronto, Canada
Copyright ACL. Personal use of this material is permitted. The definitive version of this paper was published in SemEval 2023, 17th International Workshop on Semantic Evaluation, co-located with ACL-2023, 13-14 July 2023, Toronto, Canada and is available at :
PERMALINK : https://www.eurecom.fr/publication/7364