基于回指法的信息检索模型扩展

F. C. Pereira, Hilario Seibel Junior, S. A. A. D. Freitas
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引用次数: 1

摘要

经典的信息检索模型是基于文档术语的表示而不考虑语言元素。本文提出了一个基于语篇名义结构的语篇结构模型;这让我们考虑到文本的语言特征。将该模型与向量空间模型进行了比较。根据实验期间的观察,我们提出了对模型的修改,以获得比原来更好的定性性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Anaphora Based Information Retrieval Model Extension
Classical information retrieval models are based on representation of document terms without considering linguistic elements. This article presents a model based on the Discourse Nominal Structure; which lets us take linguistic characteristics of text into account. The model presented is evaluated in comparison with the vector space model. Based on observations during the experimentation we propose modifications to the model in order to achieve a better qualitative performance than originally.
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