Universal NER v2 expands a multilingual NER benchmark with consistent cross-lingual annotations collected through an active community of organizers and annotators.
Technical report, Centre for Language Resources and Technologies (CJVT), University of Ljubljana
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Universal NER v2: Towards a Massively Multilingual Named Entity Recognition Benchmark
Universal NER v2 expands a multilingual NER benchmark with consistent cross-lingual annotations collected through an active community of organizers and annotators.