Published November 12, 2020 | Version v2
Dataset Open

Studying Taxonomy Enrichment on Diachronic WordNet Versions

  • 1. Skolkovo Institute of Science and Technology, Moscow, Russia
  • 2. Research Computing Center, Lomonosov Moscow State University, Moscow, Russia

Description

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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