论文标题
Russe'2020：俄罗斯语言的第一个分类丰富任务的发现
RUSSE'2020: Findings of the First Taxonomy Enrichment Task for the Russian language
论文作者
论文摘要
本文描述了关于俄罗斯语言分类学富集的第一个共享任务的结果。要求参与者使用以前看不见的单词扩展现有的分类学：对于每个新单词，其系统都应提供可能的（候选）高鼻的排名列表。与其他语言的先前任务相比，我们的竞赛具有更现实的任务设置：提供了新单词，没有定义。相反，我们提供了这些新术语的文本语料库。在此评估活动中，我们基于未发表的RUWORDNET数据开发了一个新的评估数据集。共享任务具有两个曲目：“名词”和“动词”。 16个团队参加了这项任务，表现出很高的成绩，其中一半以上的表现优于提供的基准。
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 For this evaluation campaign, we developed a new evaluation dataset based on unpublished RuWordNet data.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 half of them outperforming the provided baseline.
