Euskarazko gertaeren etiketatze automatikoa

  1. Haritz Salaberri
  2. Olatz Arregi
  3. Beñat Zapirain
Book:
II. Ikergazte nazioarteko ikerketa euskaraz: Kongresuko artikulu-bilduma.
  1. Iñaki Alegria (ed. lit.)
  2. Ainhoa Latatu (ed. lit.)
  3. Miren Josu Omaetxebarria (ed. lit.)
  4. Patxi Salaberri (ed. lit.)

Publisher: Udako Euskal Unibertsitatea, UEU = Universidad Vasca de Verano

ISBN: 978-84-8438-627-8 978-84-8438-628-5

Year of publication: 2017

Volume Title: Giza Zientziak eta Artea

Tome: 1

Volume: 1

Pages: 22-29

Congress: Ikergazte. Nazioarteko Ikerketa Euskaraz (2. 2017. Iruñea)

Type: Conference paper

DOI: 10.26876/IKERGAZTE.II.01.03 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

Abstract

In this paper we present the results obtained by bEVENT, the first system developed for automaticallyannotating events in Basque that follows the ISO-TimeML standard. A two-step procedure is performedin order to conduct annotation: firstly, event-extents are identified, and secondly, values are given tothe linguistic attributes specified for these extents. The Euskal-TimeBank corpus has been used to trainand evaluate bEVENT and the system results have been calculated using train-test evaluation. bEVENTimplements a machine learning based approach and the precision, recall and F1 measures that correspondto the extraction of events are the following: 83.92, 72.76 and 77.94.