SLI_OMSTI_Epinonyms_CoNLL Mapping

The distribution includes a version of the OMSTI (One Million Sense-Tagged Instances) dataset (available at http://lcl.uniroma1.it/wsdeval/training-data), originally tagged with WordNet 3.0 Sense Keys, projected by SLI to semantic classes (epinonyms) and encoded in CoNLL format for machine learning.

Seminario de Lingüística Informática (SLI)
Grupo TALG (Tecnoloxías e Aplicacións da Lingua Galega)
Universidade de Vigo
Vigo, Galiza
http://sli.uvigo.gal

OMSTI dataset is described in: Kaveh Taghipour and Hwee Tou Ng. 2015a. One million sense-tagged instances for word sense disambiguation and induction. CoNLL 2015, pages 338-344. The evaluation framework from which OMSTI is taken is described in: Alessandro Raganato, Jose Camacho-Collados and Roberto Navigli. Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison. Proceedings of EACL 2017, Valencia, Spain.

These mappings are made available under the terms of Creative Commons Attribution 4.0 International Public License (CC BY 4.0) (which you can find at https://creativecommons.org/licenses/by/4.0/), and are distributed without any warranty.

Please give an appropriate acknowledgement if you publish work containing results derived from use of this mapping.

