D2KLab at SemEval-2023 Task 2: Leveraging T-NER to Develop a Fine-Tuned Multilingual Model for Complex Named Entity Recognition
Thibault Ehrhart, Julien Plu, Raphaël Troncy · 2023
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.