Overview of the VLSP 2023 -- ComOM Shared Task: A Data Challenge for Comparative Opinion Mining from Vietnamese Product Reviews

• DOI: 10.48550/arxiv.2402.13613
• Publication Date: 2024-02-21
• Authors: Hoang-Quynh Le; Duy-Cat Can; Khanh-Vinh Nguyen; Mai-Vu Tran
• Keywords: Vietnamese; Task force

This paper presents a comprehensive overview of the Comparative Opinion Mining from Vietnamese Product Reviews shared task (ComOM), held as part 10$^{th}$ International Workshop on Language and Speech Processing (VLSP 2023). The primary objective this is to advance field natural language processing by developing techniques that proficiently extract comparative opinions product reviews. Participants are challenged propose models adeptly "quintuple" sentence, encompassing Subject, Object, Aspect, Predicate, Comparison Type Label. We construct human-annotated dataset comprising $120$ documents, $7427$ non-comparative sentences $2468$ comparisons within $1798$ sentences. Participating undergo evaluation ranking based Exact match macro-averaged quintuple F1 score.