Abstract
Open-retrieval conversational machine reading comprehension (OCMRC) simulates real-life conversational interaction scenes. Machines are required to make a decision of “Yes/No/Inquire” or generate a follow-up question when the decision is “Inquire” based on retrieved rule texts, user scenario, user question and dialogue history. Recent studies try to reduce the information gap between decision-making and question generation, in order to improve the performance of generation. However, the information gap still persists because these methods are still limited in pipeline framework, where decision-making and question generation are performed separately, making it hard to share the entailment reasoning used in decision-making across all stages. To tackle the above problem, we propose a novel one-stage end-to-end framework, called Entailment Fused-T5 (EFT), to bridge the information gap between decision-making and question generation in a global understanding manner. The extensive experimental results demonstrate that our proposed framework achieves new state-of-the-art performance on the OR-ShARC benchmark. Our model and code are publicly available at an anonymous link.- Anthology ID:
- 2023.acl-long.857
- Volume:
- Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Month:
- July
- Year:
- 2023
- Address:
- Toronto, Canada
- Editors:
- Anna Rogers, Jordan Boyd-Graber, Naoaki Okazaki
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 15374–15386
- Language:
- URL:
- https://aclanthology.org/2023.acl-long.857
- DOI:
- 10.18653/v1/2023.acl-long.857
- Cite (ACL):
- Xiao Zhang, Heyan Huang, Zewen Chi, and Xian-Ling Mao. 2023. Bridging The Gap: Entailment Fused-T5 for Open-retrieval Conversational Machine Reading Comprehension. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 15374–15386, Toronto, Canada. Association for Computational Linguistics.
- Cite (Informal):
- Bridging The Gap: Entailment Fused-T5 for Open-retrieval Conversational Machine Reading Comprehension (Zhang et al., ACL 2023)
- PDF:
- https://preview.aclanthology.org/improve-issue-templates/2023.acl-long.857.pdf