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Sentence Ordering for Coherent Multi-document Summary Generation

机译:用于连贯的多文件摘要生成的句子订购

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Web queries often give rise to a lot of documents and the user is overwhelmed by the information. Query-specific extractive summarization of a selected set of retrieved documents helps the user to get a gist of the information. The current extractive summary generation systems focus on extracting query-relevant sentences from the documents. However, the selected sentences are presented either in the order in which the documents were considered or in the order in which they were selected. This approach does not guarantee a coherent summary. In this paper, we propose incremental integrated graph to represent the sentences in a collection of documents. Sentences from the documents are merged into a master sequence to improve coherence and flow. The same ordering is used for sequencing the sentences in the extracted summary. User evaluations indicate that the proposed technique markedly improves the user satisfaction with regard to coherence in the summary.
机译:Web查询通常会导致大量文档,用户不堪重负。所选检索文件集的特定于特定的提取摘要有助于用户获得信息的要点。当前的提取摘要生成系统专注于从文档中提取查询相关的句子。但是,所选择的句子是按照文件所考虑的或按照选择顺序的顺序呈现的。这种方法不保证连贯的摘要。在本文中,我们提出了增量集成图来表示文件集合中的句子。文档中的句子被合并为主序列以改善一致性和流量。相同的排序用于对提取的摘要中的句子进行排序。用户评估表明,所提出的技术显着提高了在总结中的一致性方面的用户满意度。

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