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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 1631–1640 of 1729 papers

TitleStatusHype
End-to-end Recurrent Neural Network Models for Vietnamese Named Entity Recognition: Word-level vs. Character-levelCode0
A Biomedical Information Extraction Primer for NLP Researchers—0
Semi-supervised sequence tagging with bidirectional language modelsCode0
SwellShark: A Generative Model for Biomedical Named Entity Recognition without Labeled Data—0
Automatically Annotated Turkish Corpus for Named Entity Recognition and Text Categorization using Large-Scale Gazetteers—0
Generalisation in Named Entity Recognition: A Quantitative Analysis—0
PAMPO: using pattern matching and pos-tagging for effective Named Entities recognition in PortugueseCode0
The impact of simple feature engineering in multilingual medical NER—0
PanPhon: A Resource for Mapping IPA Segments to Articulatory Feature VectorsCode0
Towards Deep Learning in Hindi NER: An approach to tackle the Labelled Data Sparsity—0
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