Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation
Abstract
Open Domain dialog system evaluation is one of the most important challenges in dialog research. Existing automatic evaluation metrics, such as BLEU are mostly reference-based. They calculate the difference between the generated response and a limited number of available references. Likert-score based self-reported user rating is widely adopted by social conversational systems, such as Amazon Alexa Prize chatbots. However, self-reported user rating suffers from bias and variance among different users. To alleviate this problem, we formulate dialog evaluation as a comparison task. We also propose an automatic evaluation model CMADE (Comparison Model for Automatic Dialog Evaluation) that automatically cleans self-reported user ratings as it trains on them. Specifically, we first use a self-supervised method to learn better dialog feature representation, and then use KNN and Shapley to remove confusing samples. Our experiments show that CMADE achieves 89.2% accuracy in the dialog comparison task.- Anthology ID:
- 2020.acl-main.126
- Volume:
- Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Month:
- July
- Year:
- 2020
- Address:
- Online
- Editors:
- Dan Jurafsky, Joyce Chai, Natalie Schluter, Joel Tetreault
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1363–1374
- Language:
- URL:
- https://aclanthology.org/2020.acl-main.126
- DOI:
- 10.18653/v1/2020.acl-main.126
- Cite (ACL):
- Weixin Liang, James Zou, and Zhou Yu. 2020. Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 1363–1374, Online. Association for Computational Linguistics.
- Cite (Informal):
- Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation (Liang et al., ACL 2020)
- PDF:
- https://preview.aclanthology.org/teach-a-man-to-fish/2020.acl-main.126.pdf
- Code
- Weixin-Liang/dialog_evaluation_CMADE