Improving textual data classification and discrimination using an ad-hoc metric: application to a famous text discrimination challenge

Jean-Charles Lamirel 1 Pascal Cuxac 2
1 SYNALP - Natural Language Processing : representations, inference and semantics
LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
2 INIST - Institut de l'information scientifique et technique
Document type :
Conference papers
Complete list of metadatas
https://hal.inria.fr/hal-01263858
Contributor : Jean-Charles Lamirel <>
Submitted on : Thursday, January 28, 2016 - 12:32:18 PM
Last modification on : Tuesday, December 18, 2018 - 4:38:01 PM

Identifiers

  • HAL Id : hal-01263858, version 1

Collections

INRIA | UNIV-LORRAINE | LORIA-NLPKD | LORIA

Citation

Jean-Charles Lamirel, Pascal Cuxac. Improving textual data classification and discrimination using an ad-hoc metric: application to a famous text discrimination challenge. 4th International Symposium ISKO-Maghreb 2014, Nov 2014, Alger, Algeria. ⟨hal-01263858⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

328

Contact


archive-ouverte@inria.fr