ELYADATA at WojoodNER Shared Task: Data and Model-centric Approaches for Arabic Flat and Nested NER
Imen Laouirine, Haroun Elleuch, Fethi Bougares · 2023
This paper describes our submissions to the WojoodNER shared task organized during the first ArabicNLP conference.We participated in the two proposed sub-tasks of flat and nested Named Entity Recognition (NER).Our systems were ranked first over eight and third over eleven in the Nested NER and Flat NER, respectively.All our primary submissions are based on DiffusionNER models, where the NER task is formulated as a boundary-denoising diffusion process.Experiments on nested Wojood-NER achieves the best results with a micro F1-score of 93.73%.For the flat sub-task, our primary system was the third-best system, with a micro F1-score of 91.92% 1 .