Eliminating Contextual Bias in Aspect-Based Sentiment Analysis

Author:

An Ruize,Zhang Chen,Song Dawei

Publisher

Springer Nature Switzerland

Reference49 articles.

1. Cao, J., Liu, R., Peng, H., Jiang, L., Bai, X.: Aspect is not you need: no-aspect differential sentiment framework for aspect-based sentiment analysis. In: Carpuat, M., de Marneffe, M., Ruíz, I.V.M. (eds.) Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022, Seattle, WA, United States, 10–15 July 2022, pp. 1599–1609. Association for Computational Linguistics (2022). https://doi.org/10.18653/v1/2022.naacl-main.115

2. Chen, P., Sun, Z., Bing, L., Yang, W.: Recurrent attention network on memory for aspect sentiment analysis. In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pp. 452–461 (2017)

3. Chen, S., Wang, Y., Liu, J., Wang, Y.: Bidirectional machine reading comprehension for aspect sentiment triplet extraction. In: Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, 2–9 February 2021, pp. 12666–12674. AAAI Press (2021). https://ojs.aaai.org/index.php/AAAI/article/view/17500

4. Chen, X., Sun, C., Wang, J., Li, S., Si, L., Zhang, M., Zhou, G.: 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. Dai, J., Yan, H., Sun, T., Liu, P., Qiu, X.: Does syntax matter? a strong baseline for aspect-based sentiment analysis with roberta. In: Toutanova, K., et al. (eds.) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021, Online, 6–11 June 2021, pp. 1816–1829. Association for Computational Linguistics (2021). https://doi.org/10.18653/v1/2021.naacl-main.146

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