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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
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
Fast and Accurate Entity Recognition with Iterated Dilated ConvolutionsCode1
Generalisation in Named Entity Recognition: A Quantitative Analysis—0
PAMPO: using pattern matching and pos-tagging for effective Named Entities recognition in PortugueseCode0
NER for Medical Entities in Twitter using Sequence to Sequence Neural Networks—0
PersoNER: Persian Named-Entity RecognitionCode0
Bitext Name Tagging for Cross-lingual Entity Annotation Projection—0
Named Entity Recognition for Linguistic Rapid Response in Low-Resource Languages: Sorani Kurdish and Tajik—0
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