- Anthology ID:
- 2020.paclic-1.43
- Volume:
- Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation
- Month:
- October
- Year:
- 2020
- Address:
- Hanoi, Vietnam
- Venue:
- PACLIC
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 375–382
- Language:
- URL:
- https://aclanthology.org/2020.paclic-1.43
- DOI:
- Cite (ACL):
- Minh-Quan Bui, Vu Tran, Ha-Thanh Nguyen, and Le-Minh Nguyen. 2020. How State-Of-The-Art Models Can Deal With Long-Form Question Answering. In Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation, pages 375–382, Hanoi, Vietnam. Association for Computational Linguistics.
- Cite (Informal):
- How State-Of-The-Art Models Can Deal With Long-Form Question Answering (Bui et al., PACLIC 2020)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2020.paclic-1.43.pdf
- Data
- NewsQA, SQuAD, TriviaQA