RUSSE'2020: Findings of the First Taxonomy Enrichment Task for the Russian language

Taxonomies are tree structures that organize terms into a semantic hierarchy. Taxonomic relations (or hypernyms) are "isa" relations: cat is-an animal, banana isa fruit, Microsoft isa company, etc. This type of relations is useful in a wide range of Natural Language Processing (NLP) tasks for performing semantic analysis. While substantial interest is drawn to the extraction of hypernyms and taxonomic structures from text [6, 7, 9], the fully automatic taxonomy induction methods are still not widely used for routine construction of lexical resources, such as taxonomies. Nevertheless, the automatic hypernym candidate generation can facilitate and accelerate the manual taxonomy extension. Therefore, it is extremely useful to develop support tools for creation, enrichment, and maintenance of the existing semantic resources as well as their tuning to specific tasks and/or text collections.