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

Leif Azzopardi, Mark Girolami, Keith van Risjbergen

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

72 Citations (Scopus)

Abstract

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.
Original languageEnglish
Title of host publicationSIGIR '03 Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Informaion Retrieval
Place of PublicationNew York, NY, USA
Pages369-370
Number of pages2
DOIs
Publication statusPublished - 28 Jul 2003
Externally publishedYes

Publication series

NameSIGIR '03
PublisherACM

Keywords

  • language model
  • computing methodology
  • artificial intelligence

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  • Cite this

    Azzopardi, L., Girolami, M., & van Risjbergen, K. (2003). Investigating the relationship between language model perplexity and IR precision-recall measures. In SIGIR '03 Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Informaion Retrieval (pp. 369-370). (SIGIR '03).. https://doi.org/10.1145/860435.860505