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

75 Citations (Scopus)


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
Number of pages2
Publication statusPublished - 28 Jul 2003
Externally publishedYes

Publication series

NameSIGIR '03


  • language model
  • computing methodology
  • artificial intelligence

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