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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 1401–1410 of 1729 papers

TitleStatusHype
NEZHA: Neural Contextualized Representation for Chinese Language UnderstandingCode0
Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER—0
Why Attention? Analyze BiLSTM Deficiency and Its Remedies in the Case of NERCode0
Exploiting Multiple Embeddings for Chinese Named Entity RecognitionCode0
A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition—0
Query-Based Named Entity Recognition—0
Position-Aware Self-Attention based Neural Sequence Labeling—0
A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity RecognizersCode0
Hierarchically-Refined Label Attention Network for Sequence LabelingCode1
Neural Architectures for Nested NER through LinearizationCode0
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