muNERa at WojoodNER 2024: Multi-tasking NER Approach
Nouf Alotaibi, Haneen Alhomoud, Hanan S. Murayshid, Waad Thuwaini Alshammari, Nouf Alshalawi, Sakhar Alkhereyf · 2024
This paper presents our system "muNERa", submitted to the WojoodNER 2024 shared task at the second ArabicNLP conference.We participated in two subtasks, the flat and nested fine-grained NER sub-tasks (1 and 2).muNERa achieved first place in the nested NER sub-task and second place in the flat NER subtask.The system is based on the TANL framework (Paolini et al., 2021), by using a sequenceto-sequence structured language translation approach to model both tasks.We utilize the pretrained AraT5 v2 -base model as the base model for the TANL framework.The best-performing muNERa model achieves 91.07%and 90.26% for the F-1 scores on the test sets for the nested and flat subtasks, respectively.