Xart system: discovering and extracting correlated arguments of n-ary relations from text

Soumia Lilia Berrahou 1 Patrice Buche 2 Juliette Dibie 3 Mathieu Roche
1 LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
2 UMR IATE - Ingénierie des Agro-polymères et Technologies Émergentes
3 MIA-Paris - Mathématiques et Informatique Appliquées
Document type :
Conference papers
Complete list of metadatas
https://hal-agroparistech.archives-ouvertes.fr/hal-01357738
Contributor : Juliette Dibie <>
Submitted on : Tuesday, August 30, 2016 - 1:24:29 PM
Last modification on : Friday, March 29, 2019 - 9:12:10 AM

Identifiers

Collections

AGROPARISTECH | INRA | LIRMM | CIRAD | MIA-PARIS | UNIV-PARIS-SACLAY | MIPS | BA | UNIV-MONTPELLIER

Citation

Soumia Lilia Berrahou, Patrice Buche, Juliette Dibie, Mathieu Roche. Xart system: discovering and extracting correlated arguments of n-ary relations from text. International Conference on Web Intelligence, Mining and Semantics, Jun 2016, Nimes, France. pp.8:1-8:12, ⟨10.1145/2912845.2912855⟩. ⟨hal-01357738⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

331

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD