Alex Wang, Kyunghyun Cho, and Mike Lewis. 2020. Asking and answering questions to evaluate the factual consistency of summaries. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, Online, July 5-10, 2020, pages 5008-5020. Association for Computational Linguistics.
Jiaan Wang, Yunlong Liang, Fandong Meng, Haoxiang Shi, Zhixu Li, Jinan Xu, Jianfeng Qu, and Jie Zhou. 2023. Is chatgpt a good NLG evaluator? A preliminary study. CoRR, abs/2303.04048.
Jason W. Wei and Kai Zou. 2019. EDA: easy data augmentation techniques for boosting performance on text classification tasks. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019, pages 6381-6387. Association for Computational Linguistics.
Karl Weierstrass. 1885. Über die analytische darstellbarkeit sogenannter willkürlicher functionen einer reellen veränderlichen. Sitzungsberichte der Königlich Preußischen Akademie der Wissenschaften zu Berlin, 2:633-639.
Zheng Ye, Liucun Lu, Lishan Huang, Liang Lin, and Xiaodan Liang. 2021. Towards quantifiable dialogue coherence evaluation. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL/IJCNLP 2021, (Volume 1: Long Papers), Virtual Event, August 1-6, 2021, pages 2718-2729. Association for Computational Linguistics.
Yi-Ting Yeh, Maxine Eskenazi, and Shikib Mehri. 2021. A comprehensive assessment of dialog evaluation metrics. CoRR, abs/2106.03706.
Chen Zhang, Yiming Chen, Luis Fernando D'Haro, Yan Zhang, Thomas Friedrichs, Grandee Lee, and Haizhou Li. 2021a. Dynaeval: Unifying turn and dialogue level evaluation. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL/IJCNLP 2021, (Volume 1: Long Papers), Virtual Event, August 1-6, 2021, pages 5676-5689. Association for Computational Linguistics.
Chen Zhang, Luis Fernando D'Haro, Rafael E. Banchs, Thomas Friedrichs, and Haizhou Li. 2020a. Deep AM-FM: toolkit for automatic dialogue evaluation. In Conversational Dialogue Systems for the Next Decade - 11th International Workshop on Spoken Dialogue Systems, IWSDS 2020, Madrid, Spain, 21-23 September, 2020, volume 704 of Lecture Notes in Electrical Engineering, pages 53-69. Springer.
Chen Zhang, Luis Fernando D'Haro, Qiquan Zhang, Thomas Friedrichs, and Haizhou Li. 2022a. Fined-eval: Fine-grained automatic dialogue-level evaluation. CoRR, abs/2210.13832.
Chen Zhang, João Sedoc, Luis Fernando D'Haro, Rafael E. Banchs, and Alexander Rudnicky. 2021b. Automatic evaluation and moderation of open-domain dialogue systems. CoRR, abs/2111.02110.
Pengfei Zhang, Xiaohui Hu, Kaidong Yu, Jian Wang, Song Han, Cao Liu, and Chunyang Yuan. 2022b. MME-CRS: multi-metric evaluation based on correlation re-scaling for evaluating open-domain dialogue. CoRR, abs/2206.09403.
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi. 2020b. Bertscore: Evaluating text generation with BERT. In 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020. OpenReview.net.
Tiancheng Zhao, Ran Zhao, and Maxine Eskenazi. 2017. Learning discourse-level diversity for neural dialog models using conditional variational autoencoders. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, July 30 - August 4, Volume 1: Long Papers, pages 654-664. Association for Computational Linguistics.