Year: 2023
Type: conference-paper
Abstract: This paper outlines the first KSAA-RD shared task, which aims to develop a Reverse Dictionary (RD) system for the Arabic language.RDs allow users to find words based on their meanings or definition.This shared task, KSAA-RD, includes two subtasks: Arabic RD and cross-lingual reverse dictionaries (CLRD).Given a definition (referred to as a "gloss") in either Arabic or English, the teams compete to find the most similar word embeddings of their corresponding word.The winning team achieved 24.20 and 12.70 for RD and CLRD, respectively in terms of rank metric.In this paper, we describe the methods employed by the participating teams and offer an outlook for KSAA-RD.
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4389518241
