EAGER: RI: Collecting and Filtering Online Information in Science

这项建议的重点是开发方法，以自动化的耗时的过程中选择良好的概述和审查文章从网上的新来源。目标是选择领域外人员可以理解的文章，并在AAAI维护的AITopics信息门户网站上使用它们。AITopics网站是一个广泛使用的关于人工智能的权威来源，被各种各样寻求人工智能信息的人使用：新手，学生，新闻界等AITopics旨在提供关于构成人工智能领域的多个子主题的解释性，可访问的材料。该项目将开发新的方法来发现/过滤这些文章，并建立在AITopics已经使用的方法之上。最终的软件将是开源的，并打算在长期内应用于人工智能以外的其他科学学科，特别是由他们的专业协会。该项目将追求两个目标，以推广当前的新闻节目，该节目是作为AITopics的一部分开发的，目前发现了许多类型的关于人工智能的新闻故事。这个项目的第一个目标是使它能够自动查找概述和评论文章。第二个重点是使程序能够从读者和管理员收集的数据中学习。

This proposal focuses on developing methods to automate the time-consuming process of selecting good overview and review articles from on-line new sources. The goal is to select articles understandable by persons outside the field and use them on the AITopics information portal maintained by the AAAI. The AITopics website is a widely used authoritative source about Artificial Intelligence that is used by a wide variety of people seeking information about AI: novices, students, the press, etc. AITopics is intended to provide explanatory, accessible material about multiple subtopics that make up the field of AI. This project will develop new methods for this finding/filtering such articles and build on methods already used by AITopics. The resulting software will be open-source and is intended in the long run to be applicable to other scientific discipline beyond AI, particularly by their professional societies.The project will pursue two thrusts to generalize the current NewsFinder program, which was developed as a part of AITopics and currently finds many types of news stories about AI. The first thrust of this project is to enable it to find overview and review articles automatically. The second thrust is to enable the program to learn from data collected from readers and administrators.