DuRecDial 2.0: A Bilingual Parallel Corpus for Conversational Recommendation
Zeming Liu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che
Abstract
In this paper, we provide a bilingual parallel human-to-human recommendation dialog dataset (DuRecDial 2.0) to enable researchers to explore a challenging task of multilingual and cross-lingual conversational recommendation. The difference between DuRecDial 2.0 and existing conversational recommendation datasets is that the data item (Profile, Goal, Knowledge, Context, Response) in DuRecDial 2.0 is annotated in two languages, both English and Chinese, while other datasets are built with the setting of a single language. We collect 8.2k dialogs aligned across English and Chinese languages (16.5k dialogs and 255k utterances in total) that are annotated by crowdsourced workers with strict quality control procedure. We then build monolingual, multilingual, and cross-lingual conversational recommendation baselines on DuRecDial 2.0. Experiment results show that the use of additional English data can bring performance improvement for Chinese conversational recommendation, indicating the benefits of DuRecDial 2.0. Finally, this dataset provides a challenging testbed for future studies of monolingual, multilingual, and cross-lingual conversational recommendation.- Anthology ID:
- 2021.emnlp-main.356
- 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:
- 4335–4347
- Language:
- URL:
- https://aclanthology.org/2021.emnlp-main.356
- DOI:
- 10.18653/v1/2021.emnlp-main.356
- Cite (ACL):
- Zeming Liu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, and Wanxiang Che. 2021. DuRecDial 2.0: A Bilingual Parallel Corpus for Conversational Recommendation. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 4335–4347, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics.
- Cite (Informal):
- DuRecDial 2.0: A Bilingual Parallel Corpus for Conversational Recommendation (Liu et al., EMNLP 2021)
- PDF:
- https://preview.aclanthology.org/landing_page/2021.emnlp-main.356.pdf
- Code
- liuzeming01/durecdial
- Data
- DuRecDial, ReDial