RUSSE'2020: ТЕСТИРОВАНИЕ МЕТОДОВ ПОПОЛНЕНИЯ ТАКСОНОМИИ ДЛЯ РУССКОГО ЯЗЫКА

Translated title of the contribution: Russe'2020: Findings of the first taxonomy enrichment task for the Russian language

I. Nikishina, V. Logacheva, A. Panchenko, N. Loukachevitch

Research output: Contribution to journalConference articlepeer-review

7 Citations (Scopus)

Abstract

This paper describes the results of the first shared task on taxonomy enrichment for the Russian language. The participants were asked to extend an existing taxonomy with previously unseen words: for each new word their systems should provide a ranked list of possible (candidate) hypernyms. In comparison to the previous tasks for other languages, our competition has a more realistic task setting: new words were provided without definitions. Instead, we provided a textual corpus where these new terms occurred. For this evaluation campaign, we developed a new evaluation dataset based on unpublished RuWordNet data. The shared task features two tracks: “nouns” and “verbs”. 16 teams participated in the task demonstrating high results with more than a half of them outperforming the provided baseline.

Translated title of the contributionRusse'2020: Findings of the first taxonomy enrichment task for the Russian language
Original languageRussian
Pages (from-to)579-595
Number of pages17
JournalKomp'juternaja Lingvistika i Intellektual'nye Tehnologii
Volume2020-June
Issue number19
DOIs
Publication statusPublished - 2020
Event2020 Annual International Conference on Computational Linguistics and Intellectual Technologies, Dialogue 2020 - Moscow, Russian Federation
Duration: 17 Jun 202020 Jun 2020

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