USUM：更新摘要生成系统
USUM: Update Summary Generation System
摘要：
万维网中存在大量的信息，并且大量信息被频繁地添加到万维网中。在这种情况下，特定于查询的多个文档摘要对用户非常有帮助。目前，很少有系统已经提出了查询特定的，提取多文档摘要。如果摘要可用于给定查询上的一组文档，并且如果新文档被添加到语料库，则从头开始生成更新的摘要是耗时的，并且很多时候是不实际/不可能的。在本文中，我们提出了一个解决这个问题。这在源文档不可访问的情况下特别有用。我们巧妙地将当前摘要的句子嵌入到新文档中，然后在该文档上执行特定于查询的摘要生成。我们的实验结果表明，所提出的方法的性能是良好的质量和效率。
英文摘要：
Huge amount of information is present in the World Wide Web and a large amount is being added to it frequently. A query-specific summary of multiple documents is very helpful to the user in this context. Currently, few systems have been proposed for query-specific, extractive multi-document summarization. If a summary is available for a set of documents on a given query and if a new document is added to the corpus, generating an updated summary from the scratch is time consuming and many a times it is not practical/possible. In this paper we propose a solution to this problem. This is especially useful in a scenario where the source documents are not accessible. We cleverly embed the sentences of the current summary into the new document and then perform query-specific summary generation on that document. Our experimental results show that the performance of the proposed approach is good in terms of both quality and efficiency.
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。
