CCD-ASQP: A Chinese Cross-Domain Aspect Sentiment Quadruple Prediction Dataset
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Springer Nature Singapore
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https://link.springer.com/content/pdf/10.1007/978-981-99-7224-1_18
Reference22 articles.
1. Bao, X., Zhongqing, W., Jiang, X., Xiao, R., Li, S.: Aspect-based sentiment analysis with opinion tree generation. In: Raedt, L.D. (ed.) Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI-22, pp. 4044–4050. International Joint Conferences on Artificial Intelligence Organization (2022). https://doi.org/10.24963/ijcai.2022/561. Main Track
2. Bu, J., et al.: ASAP: a Chinese review dataset towards aspect category sentiment analysis and rating prediction. In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 2069–2079. Association for Computational Linguistics, Online, June 2021. https://doi.org/10.18653/v1/2021.naacl-main.167. https://aclanthology.org/2021.naacl-main.167
3. Cai, H., Xia, R., Yu, J.: Aspect-category-opinion-sentiment quadruple extraction with implicit aspects and opinions. In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pp. 340–350. Association for Computational Linguistics, Online, August 2021. https://doi.org/10.18653/v1/2021.acl-long.29. https://aclanthology.org/2021.acl-long.29
4. Chen, X., et al.: Aspect sentiment classification with document-level sentiment preference modeling. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 3667–3677 (2020)
5. Fan, Z., Wu, Z., Dai, X., Huang, S., Chen, J.: Target-oriented opinion words extraction with target-fused neural sequence labeling. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pp. 2509–2518 (2019)
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