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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 1061–1070 of 1729 papers

TitleStatusHype
Vartani Spellcheck -- Automatic Context-Sensitive Spelling Correction of OCR-generated Hindi Text Using BERT and Levenshtein Distance—0
VEE-BERT: Accelerating BERT Inference for Named Entity Recognition via Vote Early Exiting—0
VicunaNER: Zero/Few-shot Named Entity Recognition using Vicuna—0
VinAI at ChEMU 2020: An accurate system for named entity recognition in chemical reactions from patents—0
WBI-NER: The impact of domain-specific features on the performance of identifying and classifying mentions of drugs—0
Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection—0
What do we Really Know about State of the Art NER?—0
What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis—0
What's happening in your neighborhood? A Weakly Supervised Approach to Detect Local News—0
Where are we in Named Entity Recognition from Speech?—0
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