Overview of the VLSP 2023 – ComOM Shared Task: A Data Challenge for Comparative Opinion Mining from Vietnamese Product Reviews
CoRR(2024)
摘要
This paper presents a comprehensive overview of the Comparative Opinion
Mining from Vietnamese Product Reviews shared task (ComOM), held as part of the
10^th International Workshop on Vietnamese Language and Speech Processing
(VLSP 2023). The primary objective of this shared task is to advance the field
of natural language processing by developing techniques that proficiently
extract comparative opinions from Vietnamese product reviews. Participants are
challenged to propose models that adeptly extract a comparative "quintuple"
from a comparative sentence, encompassing Subject, Object, Aspect, Predicate,
and Comparison Type Label. We construct a human-annotated dataset comprising
120 documents, encompassing 7427 non-comparative sentences and 2468
comparisons within 1798 sentences. Participating models undergo evaluation
and ranking based on the Exact match macro-averaged quintuple F1 score.
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