Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation
Clement Rebuffel, Thomas Scialom, Laure Soulier, Benjamin Piwowarski, Sylvain Lamprier, Jacopo Staiano, Geoffrey Scoutheeten, Patrick Gallinari
Abstract
QuestEval is a reference-less metric used in text-to-text tasks, that compares the generated summaries directly to the source text, by automatically asking and answering questions. Its adaptation to Data-to-Text tasks is not straightforward, as it requires multimodal Question Generation and Answering systems on the considered tasks, which are seldom available. To this purpose, we propose a method to build synthetic multimodal corpora enabling to train multimodal components for a data-QuestEval metric. The resulting metric is reference-less and multimodal; it obtains state-of-the-art correlations with human judgment on the WebNLG and WikiBio benchmarks. We make data-QuestEval’s code and models available for reproducibility purpose, as part of the QuestEval project.- Anthology ID:
- 2021.emnlp-main.633
- Volume:
- Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Month:
- November
- Year:
- 2021
- Address:
- Online and Punta Cana, Dominican Republic
- Editors:
- Marie-Francine Moens, Xuanjing Huang, Lucia Specia, Scott Wen-tau Yih
- Venue:
- EMNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 8029–8036
- Language:
- URL:
- https://aclanthology.org/2021.emnlp-main.633
- DOI:
- 10.18653/v1/2021.emnlp-main.633
- Cite (ACL):
- Clement Rebuffel, Thomas Scialom, Laure Soulier, Benjamin Piwowarski, Sylvain Lamprier, Jacopo Staiano, Geoffrey Scoutheeten, and Patrick Gallinari. 2021. Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 8029–8036, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics.
- Cite (Informal):
- Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation (Rebuffel et al., EMNLP 2021)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2021.emnlp-main.633.pdf
- Code
- ThomasScialom/QuestEval + additional community code
- Data
- SQuAD, WikiBio