HEAD-QA: A Healthcare Dataset for Complex Reasoning
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HEAD-QA: A Healthcare Dataset for Complex ReasoningDate
2019-07Citation
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.
Abstract
[Absctract]: 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.
Keywords
Healthcare Dataset
Complex Reasoning
Multi-choice Question Answering
Cross-lingual Experiments
Complex Reasoning
Multi-choice Question Answering
Cross-lingual Experiments
Description
Took place in Florence (Italy) at the 'Fortezza da Basso' from July 28th to August 2nd, 2019.
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Atribución 3.0 España