RePaLi participation to CLEF eHealth IR challenge 2014: leveraging term variation

Vincent Claveau (1) , Thierry Hamon (2) , Natalia Grabar (3) , Sébastien Le Maguer (1)

1 TEXMEX - Multimedia content-based indexing
2 LIMSI - Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur
3 STL - Savoirs, Textes, Langage (STL) - UMR 8163

This paper describes the participation of RePaLi, a team composed with members of IRISA, LIMSI and STL, to the biomedical information retrieval challenge proposed in the framework of CLEF eHealth. For this first participation, our approach relies on a state-of-the-art IR system called Indri, based on statistical language modeling, and on semantic resources. The purpose of semantic resources and methods is to manage the term variation such as synonyms, morpho-syntactic variants, abbreviation or nested terms. Different combinations of resources and Indri settings are explored, mostly based on query expansion. For the runs submitted, our system shows up to 67.40 p@10 and up to 67.93 NDCG@10.

Keywords: Patient-oriented information retrieval; semantic resources; terminological variation; Indri; UMLS

Domains: Computation and Language [cs.CL]; Information Retrieval [cs.IR]

Vincent Claveau, Thierry Hamon, Natalia Grabar, Sébastien Le Maguer. RePaLi participation to CLEF eHealth IR challenge 2014: leveraging term variation. Conference and Labs of the Evaluation Forum CLEF, Sep 2014, Sheffield, United Kingdom. 13 p. ⟨hal-01027534⟩