Axiomatic Analysis of Translation Language Model for Information Retrieval

@inproceedings{Karimzadehgan2012AxiomaticAO,
  title={Axiomatic Analysis of Translation Language Model for Information Retrieval},
  author={Maryam Karimzadehgan and ChengXiang Zhai},
  booktitle={ECIR},
  year={2012}
}
Statistical translation models have been shown to outperform simple document language models which rely on exact matching of words in the query and documents. A main challenge in applying translation models to ad hoc information retrieval is to estimate a translation model without training data. In this paper, we perform axiomatic analysis of translation language model for retrieval in order to gain insights about how to optimize the estimation of translation probabilities. We propose a set of… CONTINUE READING
Highly Cited
This paper has 21 citations. REVIEW CITATIONS

From This Paper

Figures, tables, results, connections, and topics extracted from this paper.
15 Extracted Citations
11 Extracted References
Similar Papers

Similar Papers

Loading similar papers…