Sense Alignment of Wiktionary and WordNet

Similarity-based Alignment

Christian M. Meyer and Iryna Gurevych:
What Psycholinguists Know About Chemistry: Aligning Wiktionary and WordNet for Increased Domain Coverage, in: Proceedings of the 5th International Joint Conference on Natural Language Processing (IJCNLP), pp. 883-892, November 2011. Chiang Mai, Thailand.

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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.

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  • Full alignment WordNet and Wiktionary (v2.0, 2014-10-14, .tsv, 1.5 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.