Multilingual Named Entity Recognition
14 papers with code • 0 benchmarks • 3 datasets
Benchmarks
These leaderboards are used to track progress in Multilingual Named Entity Recognition
XFUND
WikiNEuRal
Most implemented papers
IXA/Cogcomp at SemEval-2023 Task 2: Context-enriched Multilingual Named Entity Recognition using Knowledge Bases
ikergarcia1996/context-enriched-ner
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Named Entity Recognition (NER) is a core natural language processing task in which pre-trained language models have shown remarkable performance.
DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition
Also, we discover that the limited context length causes the retrieval knowledge to be invisible to the model.
Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark
We introduce Universal NER (UNER), an open, community-driven project to develop gold-standard NER benchmarks in many languages.
