丰富和完善语篇知识库的途径
Approaches for Enriching and Improving Textual Knowledge Bases
摘要：
可验证性是维基百科的核心编辑原则之一，编辑者被鼓励为添加的陈述提供引用。语句可以是任意的文本片段，从一个句子到一个段落。然而，在许多情况下，引用要么是过时的，丢失的，或链接到不存在的参考（例如死URL，移动的内容等）。总的来说，20%的引用是指新闻文章，是第二大引用来源。即使在提供引用的情况下，也没有明确的指标来显示给定文本的引用范围。除了与可验证性原则有关的问题外，许多维基百科实体页面不完整，在线新闻来源中已经提供的相关信息缺失。即使是已经存在的引文，在新闻发布时间和引用时间之间也往往存在延迟。在这篇论文中，我们解决了上述问题，并提出了自动化的方法，在维基百科中执行的可验证性原则，并建议相关的和缺失的新闻引用进一步丰富维基百科实体页面。
英文摘要：
Verifiability is one of the core editing principles in Wikipedia, where editors are encouraged to provide citations for the added statements. Statements can be any arbitrary piece of text, ranging from a sentence up to a paragraph. However, in many cases, citations are either outdated, missing, or link to non-existing references (e.g. dead URL, moved content etc.). In total, 20\% of the cases such citations refer to news articles and represent the second most cited source. Even in cases where citations are provided, there are no explicit indicators for the span of a citation for a given piece of text. In addition to issues related with the verifiability principle, many Wikipedia entity pages are incomplete, with relevant information that is already available in online news sources missing. Even for the already existing citations, there is often a delay between the news publication time and the reference time. In this thesis, we address the aforementioned issues and propose automated approaches that enforce the verifiability principle in Wikipedia, and suggest relevant and missing news references for further enriching Wikipedia entity pages.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
