Dataset Open Access
Studying Taxonomy Enrichment on Diachronic WordNet Versions
Irina Nikishina;
Alexander Panchenko;
Varvara Logacheva;
Natalia Loukachevitch
We choose two versions of WordNet and then select words which appear only in a newer version. For each word, we get its hypernyms from the newer WordNet version and consider them as gold standard hypernyms. We add words to the dataset if only their hypernyms appear in both snippets. We do not consider adjectives and adverbs, because they often introduce abstract concepts and are difficult to interpret by context.
Previous dataset (RUSSE'2020) does not include short words (<4 symbols), diminutives, named entities and other constraints described in the shared task paper. We remove those constraints and present a non-restricted Russian dataset and a symmetrical English dataset from WordNet database.
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datasets.zip
md5:cc053dc6fd255044c0085c0c52ed8086 |
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| Views | 176 | 132 |
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| Data volume | 23.8 MB | 21.2 MB |
| Unique views | 128 | 107 |
| Unique downloads | 22 | 17 |
- Publication date:
- November 12, 2020
- DOI:
-
- Keyword(s):
- RuWordNet, wordnets
- License (for files):
- Creative Commons Attribution 4.0 International