Abstract
We present HEAD-QA, a multi-choice question answering testbed to encourage research on complex reasoning. The questions come from exams to access a specialized position in the Spanish healthcare system, and are challenging even for highly specialized humans. We then consider monolingual (Spanish) and cross-lingual (to English) experiments with information retrieval and neural techniques. We show that: (i) HEAD-QA challenges current methods, and (ii) the results lag well behind human performance, demonstrating its usefulness as a benchmark for future work.- Anthology ID:
- P19-1092
- Volume:
- Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- Month:
- July
- Year:
- 2019
- Address:
- Florence, Italy
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 960–966
- Language:
- URL:
- https://aclanthology.org/P19-1092
- DOI:
- 10.18653/v1/P19-1092
- Cite (ACL):
- David Vilares and Carlos Gómez-Rodríguez. 2019. HEAD-QA: A Healthcare Dataset for Complex Reasoning. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 960–966, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- HEAD-QA: A Healthcare Dataset for Complex Reasoning (Vilares & Gómez-Rodríguez, ACL 2019)
- PDF:
- https://preview.aclanthology.org/nodalida-main-page/P19-1092.pdf
- Data
- HeadQA, SQuAD