论文标题
社区学习：通过NLP了解社区以产生积极影响
Community Learning: Understanding A Community Through NLP for Positive Impact
论文作者
论文摘要
大流行世界导致经济动荡，特别是对于城市社区。尽管NLP4PI的重大工作集中在国家和国际活动上，但将这种最先进的方法带入社区发展领域存在差距。为了帮助社区发展，我们必须了解我们发展的社区。为此，我们提出了社区学习的任务，作为提取有关社区的自然语言数据，将其转换为适当的知识图结构的计算任务，以进行进一步的下游应用程序。我们研究了两个特定的无家可归和教育案例，以显示知识图的可视化功能，并讨论了这种模型可以提供的其他实用性。
A post-pandemic world resulted in economic upheaval, particularly for the cities' communities. While significant work in NLP4PI focuses on national and international events, there is a gap in bringing such state-of-the-art methods into the community development field. In order to help with community development, we must learn about the communities we develop. To that end, we propose the task of community learning as a computational task of extracting natural language data about the community, transforming and loading it into a suitable knowledge graph structure for further downstream applications. We study two particular cases of homelessness and education in showing the visualization capabilities of a knowledge graph, and also discuss other usefulness such a model can provide.
