mlsanityData to 7 Oct 2026

Where Was COVID-19 First Discovered? Designing a Question-Answering System for Pandemic Situations

arXiv 2204.08787 ↗First posted 19 Apr 2022cs.CL cs.AIcited by 1

Not on the map. Why?

Abstract (arXiv)

The COVID-19 pandemic is accompanied by a massive "infodemic" that makes it hard to identify concise and credible information for COVID-19-related questions, like incubation time, infection rates, or the effectiveness of vaccines. As a novel solution, our paper is concerned with designing a question-answering system based on modern technologies from natural language processing to overcome information overload and misinformation in pandemic situations. To carry out our research, we followed a design science research approach and applied Ingwersen's cognitive model of information retrieval interaction to inform our design process from a socio-technical lens. On this basis, we derived prescriptive design knowledge in terms of design requirements and design principles, which we translated into the construction of a prototypical instantiation. Our implementation is based on the comprehensive CORD-19 dataset, and we demonstrate our artifact's usefulness by evaluating its answer quality based on a sample of COVID-19 questions labeled by biomedical experts.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 12 of its 105 references that are in the map. First posted on arXiv 19 Apr 2022.

Builds on

12 of 105 references.

References · 12

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2020Language Models are Few-Shot Learnerscited by 32,199
  3. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  4. 2020Dense Passage Retrieval for Open-Domain Question Answeringcited by 3,779
  5. 2018Know What You Don't Know: Unanswerable Questions for SQuADcited by 1,538
  6. 2017Recent Trends in Deep Learning Based Natural Language Processingcited by 262
  7. 2020CORD-19: The COVID-19 Open Research Datasetcited by 179
  8. 2021Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answeringcited by 178
  9. 2021Complex Knowledge Base Question Answering: A Surveycited by 52
  10. 2017Supervised and Unsupervised Transfer Learning for Question Answeringcited by 24
  11. 2020Text-based Question Answering from Information Retrieval and Deep Neural Network Perspectives: A Surveycited by 21
  12. 2019RankQA: Neural Question Answering with Answer Re-Rankingcited by 15

Built on by

Cited by year

Citing papers per year: 2024: 1.

1 paper.

  1. 2024A Joint-Reasoning based Disease Q&A Systemcited by 0