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Acquiring the Gist of Social Network Service Threads via Comparison with Wikipedia

机译：通过与Wikipedia的比较获得社交网络服务线程的要点

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摘要

Internet-based social network services (SNSsJ have grown increasingly popular and are producing a great amount of content. Multiple users freelv post their comments in SNS threads, and extracting the gist of these comments can be difficult due to their complicated dialog. In this paper, the authors propose a system that explores this concept of the gist of an SNS thread by comparing it with Wikipedia. The granularity of information in an SNS thread differs from that in Wikipedia articles, which implies that the information in a thread may be related to different articles on Wikipedia. The authors extract target articles on Wikipedia based on its link graph. When an SNS thread is compared with Wikipedia, the focus is on the table of contents (TOC) of the relevant Wikipedia articles. The system uses a proposed coverage degree to compare the comments in a thread with the information in the TOC. If the coverage degree is higher, the Wikipedia paragraph becomes the gist of the thread.
机译：基于Internet的社交网络服务（SNSsJ变得越来越流行并产生大量的内容。多个用户将其评论自由发布到SNS线程中，由于对话复杂，提取这些评论的要点可能很困难。 ，作者提出了一种通过与Wikipedia进行比较来探索SNS线程要点概念的系统，SNS线程中的信息粒度与Wikipedia文章中的不同，这意味着线程中的信息可能与Wikipedia上的不同文章。作者基于链接图提取Wikipedia上的目标文章；将SNS线程与Wikipedia进行比较时，重点是相关Wikipedia文章的目录（TOC）。比较线程中的注释与目录中的信息的程度，如果覆盖率较高，则Wikipedia段落将成为线程的要旨。

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