DiQAD: a benchmark dataset for open-domain dialogue quality assessment

Author(s):: Zhao, Y.; Yan, L.; Sun, W.; Meng, C.; Wang, S.; Cheng, Z.; Ren, Z. (0000-0002-9076-6565); Yin, D.

Editor(s):: Bouamor, H.; Pino, J.; Bali, K.

Published: 2023
Publication type: Article in monograph or in proceedings

Date issued: 2023-12-06
Language: English
Publisher: Association for Computational Linguistics
Is part of: Findings of the Association for Computational Linguistics: EMNLP 2023 (2023), p. 15128–15145
hdl: 1887/3677292
doi: 10.18653/v1/2023.findings-emnlp.1010

Conference

Meeting name: The 2023 Conference on Empirical Methods in Natural Language Processing
Meeting location: Singapore
Meeting date: 2023-12-06 - 2023-12-10