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IRIT-QFR: IRIT Query Feature Resource

Molina, Serge; Mothe, Josiane; Roques, Dorian; Tanguy, Ludovic; Ullah, Md Zia

Authors

Serge Molina

Josiane Mothe

Dorian Roques

Ludovic Tanguy



Abstract

In this paper, we present a resource that consists of query features associated with TREC adhoc collections. We developed two types of query features: linguistics features that can be calculated from the query itself, prior to any search although some are collection-dependent and post-retrieval features that imply the query has been evaluated over the target collection. This paper presents the two types of features that we have estimated as well as their variants, and the resource produced. The total number of features with their variants that we have estimated is 258 where the number of pre-retrieval and post-retrieval features are 81 and 171, respectively. We also present the first analysis of this data that shows that some features are more relevant than others in IR applications. Finally, we present a few applications in which these resources could be used although the idea of making them available is to foster new usages for IR.

Citation

Molina, S., Mothe, J., Roques, D., Tanguy, L., & Ullah, M. Z. (2017). IRIT-QFR: IRIT Query Feature Resource. In Experimental IR Meets Multilinguality, Multimodality, and Interaction: 8th International Conference of the CLEF Association, CLEF 2017, Dublin, Ireland, September 11–14, 2017, Proceedings (69-81). https://doi.org/10.1007/978-3-319-65813-1_6

Conference Name 8th International Conference of the CLEF Association
Conference Location Dublin, Ireland
Start Date Sep 11, 2017
End Date Sep 14, 2017
Online Publication Date Aug 17, 2017
Publication Date 2017
Deposit Date Mar 22, 2023
Publisher Springer
Pages 69-81
Series Title Lecture Notes in Computer Science
Series Number 10456
Series ISSN 1611-3349
Book Title Experimental IR Meets Multilinguality, Multimodality, and Interaction: 8th International Conference of the CLEF Association, CLEF 2017, Dublin, Ireland, September 11–14, 2017, Proceedings
ISBN 978-3-319-65812-4
DOI https://doi.org/10.1007/978-3-319-65813-1_6