Work

Lotus at WojoodNER Shared Task: Multilingual Transformers: Unveiling Flat and Nested Entity Recognition

Year: 2023

Type: conference-paper

Abstract: 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.

Source: Arabic Natural Language Processing Conference (ArabicNLP)

DOI: 10.18653/v1/2023.arabicnlp-1.85

Authors: Jiyong Li, Dilshod Azizov, Hilal AlQuabeh, Shangsong Liang

Institution: Mohamed bin Zayed University of Artificial Intelligence

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4389518425

FWCI: 0.177

Cites: 26

Cited by: 1

Related to: 10