RuCoCo: a new Russian corpus with coreference annotation
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Abstract (arXiv)
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.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 4 of its 23 references that are in the map. First posted on arXiv 10 Jun 2022.
Builds on
4 of 23 references.
References · 4
- 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
- 2018Higher-order Coreference Resolution with Coarse-to-fine Inferencecited by 150
- 2019BERT for Coreference Resolution: Baselines and Analysiscited by 125
- 2021Word-Level Coreference Resolutioncited by 40
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Citing papers per year: 2023: 1; 2024: 1.
2 papers.