
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.


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Debiasing-Aspect-based-Sentiment-Analysis-with-Multi-variable-Causal-Inference


Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference


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Proposing a novel framework based on multi-variable causal inference for debiasing aspect-based sentiment analysis.


diner-debiasing-aspect-based-sentiment-analysis-with-multi-variable-causal-inference


DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference



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.
