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Augmenting Phrase-based Text Representation with Conceptual Indexing for Effective Retrieval

机译:使用概念索引来增强基于短语的文本表示,以便有效地检索

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The widespread use of Internet has helped the user community to literally transcend the limitations of time and space with regard to information access. At the same time, it has thrown up several new challenges to the researchers, of which guaranteeing high quality information retrieval is a significant one. Any approach to address this task is essentially linked to the method adopted for text representation. In this paper, we explore the effect of migrating from the current keyword-based approach to a keyphrase-based approach, augmented by conceptual indexing, so that the most appropriate documents are retrieved in response to a query.
机译:互联网的广泛使用已经帮助用户社区转换到信息访问方面的时间和空间的局限性。与此同时,它为研究人员抛出了几个新挑战,其中保证了高质量的信息检索是一个重要的挑战。解决此任务的任何方法基本上链接到文本表示所采用的方法。在本文中,我们探讨了从当前关键字的方法迁移到基于关键术的方法的效果,通过概念索引来增强,从而响应查询来检索最合适的文档。

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