The author proposes a novel framework, DINER, based on multi-variable causal inference to debias aspect-based sentiment analysis by addressing biases in both the target aspect and the review branch.
Proposing a novel framework based on multi-variable causal inference for debiasing aspect-based sentiment analysis.
다변량 인과 추론을 사용하여 감정 분석의 편향을 제거하는 DINER 프레임워크를 제안합니다.
Neue Methode zur De-Biasing von Aspect-based Sentiment Analysis mit Multi-Variable Causal Inference.