SLI_OMSTI_BabelDomains_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 (BabelDomains) 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.

BabelDomains is described in the following paper: Jose Camacho-Collados and Roberto Navigli, BabelDomains: Large-Scale Domain Labeling of Lexical Resources, Proceedings of EACL (short), Valencia, Spain, 2017. BabelDomains is licensed under a Creative Commons Attribution - Noncommercial - Unported 3.0 License.

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.

