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An Entity-Focused Approach to Generating Company Descriptions

机译:生成公司描述的实体侧重方法

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摘要

Finding quality descriptions on the web, such as those found in Wikipedia articles, of newer companies can be difficult: search engines show many pages with varying relevance, while multi-document summarization algorithms find it difficult to distinguish between core facts and other information such as news stories. In this paper, we propose an entity-focused, hybrid generation approach to automatically produce descriptions of previously unseen companies, and show that it outperforms a strong summarization baseline.
机译:在Web上找到质量描述,例如在维基百科文章中发现的那些,较新的公司可能很困难:搜索引擎显示许多具有不同相关性的页面,而多文件摘要算法发现很难区分核心事实和其他信息新闻故事。在本文中,我们提出了一个专业的实体混合生成方法,以自动产生以前看不见的公司的描述,并表明它优于一个强大的总结基线。

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