论文标题
Covid-19在哪里首次发现？设计一个大流行状况的提问系统
Where Was COVID-19 First Discovered? Designing a Question-Answering System for Pandemic Situations
论文作者
论文摘要
COVID-19大流行伴随着大规模的“流行病”，使得很难为与COVID相关的问题（例如孵化时间，感染率或疫苗的有效性）识别出简洁而可信的信息。作为一种新颖的解决方案，我们的论文关注的是设计一种基于自然语言处理的现代技术来克服大流行状况中信息过载和错误信息的现代技术。为了进行我们的研究，我们遵循了设计科学研究方法，并应用了Ingwersen的信息检索互动的认知模型，以从社会技术镜头为我们的设计过程提供信息。在此基础上，我们从设计要求和设计原理方面得出了规范性的设计知识，并将其转化为原型实例化的构建。我们的实施基于综合的脐带-19数据集，我们通过根据生物医学专家标记的Covid-19问题样本来评估其答案质量来证明其作用。
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.
