Title :

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

Author(s) :

Claveau, Vincent [Auteur]
Multimedia content-based indexing [TEXMEX]
Hamon, Thierry [Auteur]
Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur [LIMSI]
Grabar, Natalia [Auteur]
Savoirs, Textes, Langage (STL) - UMR 8163 [STL]
Le Maguer, Sébastien [Auteur]
Multimedia content-based indexing [TEXMEX]

Conference title :

Conference and Labs of the Evaluation Forum CLEF

City :

Sheffield

Country :

Royaume-Uni

Start date of the conference :

2014-09-15

Book title :

Proc of Conference and Labs of the Evaluation Forum CLEF

Publication date :

2014-09

English keyword(s) :

Patient-oriented information retrieval
semantic resources
terminological variation
Indri
UMLS

HAL domain(s) :

Informatique [cs]/Informatique et langage [cs.CL]
Informatique [cs]/Recherche d'information [cs.IR]

English abstract : [en]

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, ...
Show more >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.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

• Savoirs, Textes, Langage (STL) - UMR 8163

Source :

Harvested from HAL