“Who can help me?”: Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit
“Who can help me?”: Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit
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“谁能帮助我？”：Reddit 上 COVID-19 期间支持寻求者和支持提供者的知识注入匹配
DOI：
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
A. Sheth
中科院分区：
文献类型：
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作者：
Manas Gaur;Kaushik Roy;Aditya Sharma;Biplav Srivastava;A. Sheth
在持续的新冠肺炎危机期间，Reddit上的子红迪，如r/CoronaVirus，见证了用户求助请求(支持寻求者-SS)的快速增长，其中包括对护理具有不同职业和经验的个人(支持提供者-SP)。目前，知识渊博的人类版主将SS与具有相关经验的用户进行匹配，即这些子主题上的SP。这种不可扩展的流程推迟了及时的护理。我们提出了一种注入医学知识的方法，以新冠肺炎为背景，通过专家验证，为受焦虑和抑郁影响的用户进行SS和SP的高效匹配。在匹配后，每个SP与一个使用自然语言推理原理标记为支持性的、信息性的或相似的(共享经验的)SS。21位领域专家的评估表明了整合知识的有效性，并显示了匹配系统的有效性。
During the ongoing COVID-19 crisis, subreddits on Reddit, such as r/Coronavirus saw a rapid growth in user’s requests for help (support seekers- SSs) including individuals with varying professions and experiences with diverse perspectives on care (support providers - SPs). Currently, knowledgeable human moderators match an SS with a user with relevant experience, i.e, an SP on these subreddits. This unscalable process defers timely care. We present a medical knowledge-infused approach to efficient matching of SS and SPs validated by experts for the users affected by anxiety and depression, in the context of with COVID-19. After matching, each SP to an SS labeled as either supportive, informative, or similar (sharing experiences) using the principles of natural language inference. Evaluation by 21 domain experts indicates the efficacy of incorporated knowledge and shows the efficacy the matching system.