语言模型困惑度与IR查准率的关系研究

Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval Pub Date : 2003-07-28 DOI:10.1145/860435.860505

L. Azzopardi, M. Girolami, Keith van Risjbergen

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引用次数: 151

摘要

本文对基于方面的语言模型在困惑度方面的性能与相应的信息检索性能之间的关系进行了实证研究。我们观察到，在考虑的语料库上，语言模型的困惑度与可达到的精确召回性能有系统的关系，但没有统计学意义。

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Investigating the relationship between language model perplexity and IR precision-recall measures

An empirical study has been conducted investigating the relationship between the performance of an aspect based language model in terms of perplexity and the corresponding information retrieval performance obtained. It is observed, on the corpora considered, that the perplexity of the language model has a systematic relationship with the achievable precision recall performance though it is not statistically significant.

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Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval

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