Aspect-based sentiment analysis (ABSA), which aims to identify fine-grained opinion polarity towards a specific aspect, is a challenging subtask of sentiment analysis (SA). In this paper, we construct an auxiliary sentence from the aspect and convert ABSA to a sentence-pair classification task, such as question answering (QA) and natural language inference (NLI). We fine-tune the pre-trained model from BERT and achieve new state-ofthe-art results on SentiHood and SemEval-2014 Task 4 datasets.
Sun et al. REF propose to construct an auxiliary sentence from the aspect and convert the aspect-based sentiment analysis to a sentence-pair classification task.
Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence
ArXiv
ArXiv
Computer Science