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Negations and Document Length in Logical Retrieval

机译:逻辑检索中的否定和文档长度

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摘要

Terms which are not explicitly mentioned in the text of a document receive often a minor role in current retrieval systems. In this work we connect the management of such terms with the ability of the retrieval model to handle partial representations. A simple logical indexing process capable of expressing negated terms and omitting some other terms in the representation of a document was designed. Partial representations of documents can be built taking into account document length and global term distribution. A prepositional model of information retrieval is used to exemplify the advantages from such expressive modeling. A number of experiments applying these partial representations are reported. The benefits of the expressive framework became apparent in the evaluation.
机译:在文档的文本中未明确提及的术语在当前检索系统中通常只扮演次要角色。在这项工作中,我们将此类术语的管理与检索模型处理部分表示的能力联系在一起。设计了一种简单的逻辑索引过程,该过程能够表达否定术语并在文档表示中省略其他术语。可以考虑文档长度和全局术语分布来构建文档的部分表示形式。信息检索的介词模型用于举例说明这种表达模型的优点。报告了使用这些部分表示的许多实验。表达框架的好处在评估中变得很明显。

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