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Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence - 2019

Utilizing Bert For Aspect-Based Sentiment Analysis Via Constructing Auxiliary Sentence

Research Area:  Machine Learning


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-of-the-art results on SentiHood and SemEval-2014 Task 4 datasets.


Author(s) Name:  Chi Sun, Luyao Huang, Xipeng Qiu

Journal name:  Computer Science

Conferrence name:  

Publisher name:  arXiv:1903.09588

DOI:  10.48550/arXiv.1903.09588

Volume Information: