Lotus at WojoodNER Shared Task: Multilingual Transformers: Unveiling Flat and Nested Entity Recognition
Jiyong Li, Dilshod Azizov, Hilal AlQuabeh, Shangsong Liang · 2023
We introduce our systems developed for two subtasks in the shared task "WOJOOD" on Arabic NER detection, part of ARABICNLP 2023.For Subtask 1, we employ the XLM-R model to predict Flat NER labels for given tokens using a single classifier capable of categorizing all labels.For Subtask 2, we use the XLM-R encoder by building 21 individual classifiers.Each classifier corresponds to a specific label and is designed to determine the presence of its respective label.In terms of performance, our systems achieved competitive micro-F1 scores of 0.83 for Subtask 1 and 0.76 for Subtask 2, according to the leaderboard scores.