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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 781–790 of 1729 papers

TitleStatusHype
Joint Entity Extraction and Assertion Detection for Clinical Text—0
BiTeM at WNUT 2020 Shared Task-1: Named Entity Recognition over Wet Lab Protocols using an Ensemble of Contextual Language Models—0
Annotating and normalizing biomedical NEs with limited knowledge—0
Identifying Planetary Names in Astronomy Papers: A Multi-Step Approach—0
Bit Cipher -- A Simple yet Powerful Word Representation System that Integrates Efficiently with Language Models—0
GlobalNER: Incorporating Non-local Information into Named Entity Recognition—0
Global Pointer: Novel Efficient Span-based Approach for Named Entity Recognition—0
CoNECo: A corpus for named entity recognition and normalization of protein complexes—0
Confidence penalty, annealing Gaussian noise and zoneout for biLSTM-CRF networks for named entity recognition—0
H_eval: A new hybrid evaluation metric for automatic speech recognition tasks—0
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