Cross-Domain Named Entity Recognition

5 papers with code • 1 benchmarks • 1 datasets

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Datasets


Greatest papers with code

Cross-Domain NER using Cross-Domain Language Modeling

jiachenwestlake/Cross-Domain_NER ACL 2019

Due to limitation of labeled resources, cross-domain named entity recognition (NER) has been a challenging task.

Cross-Domain Named Entity Recognition Language Modelling +2

CrossNER: Evaluating Cross-Domain Named Entity Recognition

zliucr/CrossNER 8 Dec 2020

Cross-domain named entity recognition (NER) models are able to cope with the scarcity issue of NER samples in target domains.

Cross-Domain Named Entity Recognition Domain Adaptation

Neural Adaptation Layers for Cross-domain Named Entity Recognition

yuchenlin/CDMA-NER EMNLP 2018

Recent research efforts have shown that neural architectures can be effective in conventional information extraction tasks such as named entity recognition, yielding state-of-the-art results on standard newswire datasets.

Cross-Domain Named Entity Recognition Domain Adaptation

Zero-Resource Cross-Domain Named Entity Recognition

Siddharthss500/zero-resource WS 2020

Existing models for cross-domain named entity recognition (NER) rely on numerous unlabeled corpus or labeled NER training data in target domains.

Cross-Domain Named Entity Recognition Domain Adaptation +1