Multilingual Named Entity Recognition
8 papers with code • 0 benchmarks • 2 datasets
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Libraries
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Multilingual Named Entity Recognition Using Pretrained Embeddings, Attention Mechanism and NCRF
In this paper we tackle multilingual named entity recognition task.
Robust Multilingual Named Entity Recognition with Shallow Semi-Supervised Features
Finally, the results show that our emphasis on clustering features is crucial to develop robust out-of-domain models.
Tuning Multilingual Transformers for Named Entity Recognition on Slavic Languages
Our paper addresses the problem of multilingual named entity recognition on the material of 4 languages: Russian, Bulgarian, Czech and Polish.
Sequence Tagging with Contextual and Non-Contextual Subword Representations: A Multilingual Evaluation
Pretrained contextual and non-contextual subword embeddings have become available in over 250 languages, allowing massively multilingual NLP.
Tuning Multilingual Transformers for Language-Specific Named Entity Recognition
Our paper addresses the problem of multilingual named entity recognition on the material of 4 languages: Russian, Bulgarian, Czech and Polish.
Sources of Transfer in Multilingual Named Entity Recognition
However, a straightforward implementation of this simple idea does not always work in practice: naive training of NER models using annotated data drawn from multiple languages consistently underperforms models trained on monolingual data alone, despite having access to more training data.
DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition
Our system wins 10 out of 13 tracks in the MultiCoNER shared task.