Chi Sun, Luyao Huang, Xipeng Qiu
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.
| Task | Dataset | Metric | Value | Model |
|---|---|---|---|---|
| Sentiment Analysis | SemEval 2014 Task 4 Subtask 4 | Accuracy (3-way) | 89.9 | BERT-pair-QA-B |
| Sentiment Analysis | SemEval 2014 Task 4 Subtask 4 | Accuracy (4-way) | 85.9 | BERT-pair-QA-B |
| Sentiment Analysis | SemEval 2014 Task 4 Subtask 4 | Binary Accuracy | 95.6 | BERT-pair-QA-B |
| Sentiment Analysis | Sentihood | Aspect | 87.9 | BERT-pair-QA-B |
| Sentiment Analysis | Sentihood | Sentiment | 93.3 | BERT-pair-QA-B |
| Sentiment Analysis | Sentihood | Aspect | 86.4 | BERT-pair-QA-M |
| Sentiment Analysis | Sentihood | Sentiment | 93.6 | BERT-pair-QA-M |
| Aspect Category Detection | SemEval 2014 Task 4 Subtask 3 | F1 score | 92.18 | BERT-pair-NLI-B |
| Aspect Category Detection | SemEval 2014 Task 4 Subtask 3 | Precision | 93.57 | BERT-pair-NLI-B |
| Aspect Category Detection | SemEval 2014 Task 4 Subtask 3 | Recall | 90.83 | BERT-pair-NLI-B |
| Aspect-Based Sentiment Analysis (ABSA) | SemEval 2014 Task 4 Subtask 4 | Accuracy (3-way) | 89.9 | BERT-pair-QA-B |
| Aspect-Based Sentiment Analysis (ABSA) | SemEval 2014 Task 4 Subtask 4 | Accuracy (4-way) | 85.9 | BERT-pair-QA-B |
| Aspect-Based Sentiment Analysis (ABSA) | SemEval 2014 Task 4 Subtask 4 | Binary Accuracy | 95.6 | BERT-pair-QA-B |
| Aspect-Based Sentiment Analysis (ABSA) | Sentihood | Aspect | 87.9 | BERT-pair-QA-B |
| Aspect-Based Sentiment Analysis (ABSA) | Sentihood | Sentiment | 93.3 | BERT-pair-QA-B |
| Aspect-Based Sentiment Analysis (ABSA) | Sentihood | Aspect | 86.4 | BERT-pair-QA-M |
| Aspect-Based Sentiment Analysis (ABSA) | Sentihood | Sentiment | 93.6 | BERT-pair-QA-M |