论文标题
Rucoco：带有核心注释的新俄罗斯语料库
RuCoCo: a new Russian corpus with coreference annotation
论文作者
论文摘要
我们提出了一个带有核心注释的新语料库，俄罗斯核心语料库（Rucoco）。 Rucoco的目的是获得大量注释的文本，同时维持高通道一致性。鲁科科（Rucoco）包含俄罗斯的新闻文本，其中一部分是从头开始注释的，其余的机器生成的注释是由人类注释者完善的。我们的语料库的大小是一百万个单词，提到了15万个单词。我们使语料库公开可用。
We present a new corpus with coreference annotation, Russian Coreference Corpus (RuCoCo). The goal of RuCoCo is to obtain a large number of annotated texts while maintaining high inter-annotator agreement. RuCoCo contains news texts in Russian, part of which were annotated from scratch, and for the rest the machine-generated annotations were refined by human annotators. The size of our corpus is one million words and around 150,000 mentions. We make the corpus publicly available.
