Jin, Zhijing Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;
https://www.aclweb.org/anthology/2020.emnlp-main.292 (Publisher version)
https://slideslive.com/38938764/tasty-burgers-soggy-fries-probing-aspect-robustness-in-aspectbased-sentiment-analysis (Multimedia)
https://github.com/zhijing-jin/ARTS_TestSet (Code)
https://doi.org/10.48550/arXiv.2009.07964 (Preprint)
Xing, X., Jin, Z., Jin, D., Wang, B., Zhang, Q., & Huang, X. (2020). Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis. In B. Webber, T. Cohn, Y. He, & Y. Liu (Eds.), 2020 Conference on Empirical Methods in Natural Language Processing - Proceedings of the Conference (pp. 3594-3605). Stroudsburg, PA: Association for Computational Linguistics. doi:10.18653/v1/2020.emnlp-main.292.
