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Medicines Question Answering System, MeQA

arXiv 2111.02760 ↗First posted 4 Nov 2021cs.CLcited by 0

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Abstract (arXiv)

In this paper we present the first system in Spanish capable of answering questions about medicines for human use, called MeQA (Medicines Question Answering), a project created by the Spanish Agency for Medicines and Health Products (AEMPS, for its acronym in Spanish). Online services that offer medical help have proliferated considerably, mainly due to the current pandemic situation due to COVID-19. For example, websites such as Doctoralia, Savia, or SaludOnNet, offer Doctor Answers type consultations, in which patients or users can send questions to doctors and specialists, and receive an answer in less than 24 hours. Many of the questions received are related to medicines for human use, and most can be answered through the leaflets. Therefore, a system such as MeQA capable of answering these types of questions automatically could alleviate the burden on these websites, and it would be of great use to such patients.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 8 of its 22 references that are in the map. First posted on arXiv 4 Nov 2021.

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References · 8

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2016SQuAD: 100,000+ Questions for Machine Comprehension of Textcited by 4,115
  3. 2014Sequence to Sequence Learning with Neural Networkscited by 2,974
  4. 2015VQA: Visual Question Answeringcited by 2,489
  5. 2020How Much Knowledge Can You Pack Into the Parameters of a Language Model?cited by 713
  6. 2019ELI5: Long Form Question Answeringcited by 567
  7. 2017Embodied Question Answeringcited by 335
  8. 2018ComQA: A Community-sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusterscited by 29

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