KSAA-CAD Shared Task: Contemporary Arabic Dictionary for Reverse Dictionary and Word Sense Disambiguation
Waad Thuwaini Alshammari, Amal Almazrua, Asma Ali Al Wazrah, Rawan N. Al-Matham, Muneera Alhoshan, Abdulrahman Alosaimy · 2024
This paper outlines the KSAA-CAD shared task, highlighting the Contemporary Arabic Language Dictionary within the scenario of developing a Reverse Dictionary (RD) system and enhancing Word Sense Disambiguation (WSD) capabilities.The first KSAA-RD (Al-Matham et al., 2023) highlighted significant gaps in the domain of RDs, which are designed to retrieve words by their meanings or definitions.This shared task comprises two tasks: RD and WSD.The RD task focuses on identifying word embeddings that most accurately match a given definition, termed a "gloss".Conversely, the WSD task involves determining the specific meaning of a word in context, particularly when the word has multiple meanings.The winning team achieved the highest-ranking score of 0.0644 in RD using Electra embeddings.However, the baseline still surpasses all participant models in terms of rank, while the Asos team achieved the best score in terms of cosine similarity and mean squared error.In this paper, we describe the methods employed by the participating teams and provide insights into the future direction of KSAA-CAD.