Sense Alignment of WordNet and OmegaWiki

Similarity-based Alignment

Iryna Gurevych and Judith Eckle-Kohler and Silvana Hartmann and Michael Matuschek and Christian M. Meyer and Christian Wirth:
UBY – A Large-Scale Unified Lexical-Semantic Resource Based on LMF, in: Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2012), pp. 580-590, April 2013, Avignon, France.

Resource Download

Note that this alignment was created by calculating the similarity between English WordNet glosses and German OmegaWiki glosses. Please have a look at the readme file for further explanations of these files.

Joint Alignment

Michael Matuschek and Iryna Gurevych:
High Performance Word Sense Alignment by Joint Modeling of Sense Distance and Gloss Similarity, in: Proceedings of the the 25th International Conference on Computational Linguistics (COLING 2014), pp. 245-256, August 2014, Dublin, Ireland.

Michael Matuschek:
Word Sense Alignment of Lexical Resources. PhD Thesis, Technische Universität Darmstadt, September 2014.

Resource Download

  • Full alignment of WordNet and OmegaWiki (v2.0, 2014-10-14, .csv, 0.7 MB
    This alignment was created based on the same gold standard as above, but using a Machine Learning approach combining Dijkstra-WSA distances and gloss similarities. For these experiment, only the monolingual English scenario was covered.