Papers by Yuki Nakayama
A Large-Scale Japanese Dataset for Aspect-based Sentiment Analysis (2022.lrec-1)
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| Challenge: | Aspect-based sentiment analysis (ABSA) has not been explored in the Japanese language . there is no standard Japanese dataset available for ABSA task in the language - a paper by cnn. |
| Approach: | They propose to use a Japanese aspect-based sentiment analysis dataset for hotel reviews domain . they propose to include 53,192 review sentences with seven aspect categories and two polarity labels . |
| Outcome: | The proposed dataset contains 53,192 review sentences with seven aspect categories and two polarity labels. |
A Stacking-based Efficient Method for Toxic Language Detection on Live Streaming Chat (2022.emnlp-industry)
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| Challenge: | Existing methods for toxic language detection are based on deep learning, but they are not scalable considering inference speed and computational resources. |
| Approach: | They propose a method for toxic language detection that is aware of real-world scenarios by partial stacking partial stacks that feeds initial results with low confidence to meta-classifier. |
| Outcome: | The proposed method achieves faster inference speed than BERT-based models with comparable performance. |