“Killing Me” Is Not a Spoiler: Spoiler Detection Model using Graph Neural Networks with Dependency Relation-Aware Attention Mechanism
Buru Chang, Inggeol Lee, Hyunjae Kim, Jaewoo Kang · 2021
Several machine learning-based spoiler detection models have been proposed recently to protect users from spoilers on review websites.Although dependency relations between context words are important for detecting spoilers, current attention-based spoiler detection models are insufficient for utilizing dependency relations.To address this problem, we propose a new spoiler detection model called SDGNN that is based on syntax-aware graph neural networks.In the experiments on two realworld benchmark datasets, we show that our SDGNN outperforms the existing spoiler detection models.