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Genre and Domain Processing in an Information Retrieval Perspective

机译:信息检索视角下的体裁和领域处理

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The massive amount of textual data on the Web raises numerous classification problems. Although the notion of domain is widely acknowledged in the IR field, the applicative concept of genre could solve its weaknesses by taking into account the linguistic properties and the document structures of the texts. Two clustering methods are proposed here to illustrate the complementarity of the notions to characterize a closed scientific article corpus. The results are planned to be used in a Web-based application.
机译:Web上大量的文本数据引发了许多分类问题。尽管领域的概念在IR领域得到了广泛认可,但是体裁的应用概念可以通过考虑文本的语言特性和文档结构来解决其弱点。本文提出了两种聚类方法,以说明概念的互补性,以表征封闭的科学论文语料库。结果计划在基于Web的应用程序中使用。

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