QALM: a Benchmark for Question Answering over Linked Merchant Websites Data

Amine Hallili 1 Elena Cabrio 1 Catherine Faron-Zucker 1
1 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
CRISAM - Inria Sophia Antipolis - Méditerranée , SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
Abstract : This paper presents a benchmark for training and evaluating Question Answering Systems aiming at mediating between a user, expressing his or her information needs in natural language, and semantic data in the commercial domain of the mobile phones industry. We first describe the RDF dataset we extracted through the APIs of merchant websites, and the schemas on which it relies. We then present the methodology we applied to create a set of natural language questions expressing possible user needs in the above mentioned domain. Such question set has then been further annotated both with the corresponding SPARQL queries, nd with the correct answers retrieved from the dataset
Type de document :
Poster
Proceedings of the ISWC 2014 Posters & Demonstrations Track - a track within the 13th International Semantic Web Conference (ISWC 2014), Oct 2014, Riva del Garda, Italy. CEUR
Liste complète des métadonnées


https://hal.inria.fr/hal-01086351
Contributeur : Elena Cabrio <>
Soumis le : lundi 24 novembre 2014 - 11:57:32
Dernière modification le : mardi 25 novembre 2014 - 01:06:21
Document(s) archivé(s) le : mercredi 25 février 2015 - 10:41:23

Fichier

paper_113.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01086351, version 1

Collections

Citation

Amine Hallili, Elena Cabrio, Catherine Faron-Zucker. QALM: a Benchmark for Question Answering over Linked Merchant Websites Data. Proceedings of the ISWC 2014 Posters & Demonstrations Track - a track within the 13th International Semantic Web Conference (ISWC 2014), Oct 2014, Riva del Garda, Italy. CEUR. <hal-01086351>

Partager

Métriques

Consultations de
la notice

220

Téléchargements du document

98