III: Medium: Ask the Experts: Generating Question-Answer Pairs for Addressing Information Deficits about Vaccines

III：媒介：询问专家：生成问答对以解决疫苗信息缺陷

• 批准号: 2211526
• 负责人: Bhuwan Dhingra
• 金额: $ 114.42万
• 依托单位: Duke University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2211526&HistoricalAwards=false
• 关键词: III; Medium; Ask; Experts; Generating

This project aims to support decision-making by developing a scalable pipeline for identifying information deficits. In this context, deficits refer to topics where there is a high demand for credible information but the corresponding supply is low. The pipeline begins with developing automated methods for identifying emerging and extant vaccine-related concerns from online sources. The moves to the creation of generalized questions that exemplify the concerns and then match the questions to credible answers. The techniques developed as part of this research will facilitate decision-making in areas with an ever-evolving knowledge base of contextualized answers to challenging questions. The research will focus on addressing information deficits about vaccines as the target application domain. The pandemic and the rapid development of vaccines has resulted in many questions from the public. For example, has the COVID-19 vaccine led to more deaths than all other vaccines put together? As questions about vaccines continue to propagate in online communication channels, timely and accurate answers to them are key to supporting decision-making.The main thrusts of this research will be to develop methods for: (1) identifying emerging and extant vaccine-related concerns from online sources, such as social media and blogs, and categorizing them using a novel taxonomy; (2) generating contextualized questions from text aimed at addressing specific claims, concerns, knowledge gaps, and myths; and (3) matching the questions to credible answers when they exist, or otherwise recommending them to experts who can develop new answers. In addition to producing broadly applicable research results and knowledge artifacts, this project, guided by an expert advisory group on vaccinations, will develop a public-facing dashboard aimed at assisting public health and medical professionals by surfacing ongoing discussions about vaccines and highlighting the areas that require attention.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目旨在通过开发一个可扩展的管道来识别信息不足，从而支持决策。在这种情况下，赤字指的是对可靠信息的需求很大，但相应的供应却很低的主题。该管道从开发自动化方法开始，用于从在线资源中识别新出现的和现存的疫苗相关问题。这一步是创建概括性的问题，这些问题可以消除人们的担忧，然后将问题与可信的答案相匹配。作为这项研究的一部分开发的技术将促进决策领域的不断发展的知识基础的背景下的答案具有挑战性的问题。这项研究将侧重于解决有关疫苗作为目标应用领域的信息不足问题。大流行和疫苗的快速发展导致了公众的许多问题。例如，COVID-19疫苗导致的死亡人数是否超过所有其他疫苗的总和？随着疫苗相关问题在网络传播渠道中的不断传播，及时准确地回答这些问题是支持决策的关键。本研究的主要目标是开发以下方法：（1）从网络来源（如社交媒体和博客）中识别新出现的和现存的疫苗相关问题，并使用新的分类法对其进行分类;（2）从文本中生成情境化问题，旨在解决特定的主张，关注点，知识差距和神话;以及（3）将问题与存在的可信答案匹配，或者将其推荐给可以开发新答案的专家。除了产生广泛适用的研究成果和知识工件外，该项目在疫苗接种专家咨询小组的指导下，将建立一个公共-面向仪表板，旨在通过呈现正在进行的关于疫苗的讨论并突出需要注意的领域来帮助公共卫生和医疗专业人员。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准。

项目成果

Interface Design for Crowdsourcing Hierarchical Multi-Label Text Annotations

• DOI: 10.1145/3544548.3581431
• 发表时间: 2023-02
• 期刊: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
• 作者: Rickard Stureborg;Bhuwan Dhingra;Jun Yang