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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 1091–1100 of 1729 papers

TitleStatusHype
Adaptive Name Entity Recognition under Highly Unbalanced Data—0
Adaptive Self-training for Few-shot Neural Sequence Labeling—0
Adaptive Self-training for Neural Sequence Labeling with Few Labels—0
Adaptive Threshold Selective Self-Attention for Chinese NER—0
A Data-driven Approach to Named Entity Recognition for Early Modern French—0
A Deep Learning approach for Hindi Named Entity Recognition—0
A Deep Learning-Based System for PharmaCoNER—0
A Discriminative Neural Model for Cross-Lingual Word Alignment—0
Adversarial Learning for Chinese NER from Crowd Annotations—0
Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER—0
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