Accession Number : ADA581247


Title :   IRIT at TREC Microblog 2012: Adhoc Task


Descriptive Note : Conference paper


Corporate Author : TOULOUSE UNIV (FRANCE)


Personal Author(s) : Jabeur, Lamjed B ; Damak, Firas ; Tamine, Lynda ; Pinel-Sauvagnat, Karen ; Cabanac, Guillaume ; Boughanem, Mohand


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a581247.pdf


Report Date : Nov 2012


Pagination or Media Count : 8


Abstract : This paper describes the participation of the IRIT lab, University of Toulouse France, to the Microblog Track of TREC 2012. Two different models are experimented by our team for the adhoc task: (i) a Bayesian network retrieval model for tweet search and (ii) a feature learning model for relevance classification. Experimental results show that Bayesian network retrieval model improves the performances comparing to the track median.


Descriptors :   *INFORMATION RETRIEVAL , ARTIFICIAL INTELLIGENCE , CLASSIFICATION , FRANCE , MATHEMATICAL MODELS , SYMPOSIA


Subject Categories : Information Science
      Cybernetics


Distribution Statement : APPROVED FOR PUBLIC RELEASE