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NER

The named entity recognition (NER) involves identification of key information in the text and classification into a set of predefined categories. This includes standard entities in the text like Part of Speech (PoS) and entities like places, names etc...

Papers

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Showing 1301–1310 of 1729 papers

TitleStatusHype
Extending Multilingual BERT to Low-Resource Languages—0
Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target LanguageCode0
Hierarchical Multi Task Learning with Subword Contextual Embeddings for Languages with Rich Morphology—0
A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?—0
Towards Discourse Parsing-inspired Semantic Storytelling—0
On Adversarial Examples for Biomedical NLP Tasks—0
Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text—0
XtremeDistil: Multi-stage Distillation for Massive Multilingual Models—0
One Model to Recognize Them All: Marginal Distillation from NER Models with Different Tag Sets—0
Self-Attention Gazetteer Embeddings for Named-Entity Recognition—0
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