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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 1561–1570 of 1729 papers

TitleStatusHype
Embedding Transfer for Low-Resource Medical Named Entity Recognition: A Case Study on Patient MobilityCode0
DM\_NLP at SemEval-2018 Task 8: neural sequence labeling with linguistic features—0
Deep Affix Features Improve Neural Named Entity RecognizersCode0
A Neural Layered Model for Nested Named Entity RecognitionCode0
Empirical Evaluation of Character-Based Model on Neural Named-Entity Recognition in Indonesian Conversational TextsCode0
End-to-end named entity extraction from speech—0
Connecting Distant Entities with Induction through Conditional Random Fields for Named Entity Recognition: Precursor-Induced CRF—0
Hybrid semi-Markov CRF for Neural Sequence LabelingCode0
SlugNERDS: A Named Entity Recognition Tool for Open Domain Dialogue Systems—0
Chinese NER Using Lattice LSTMCode1
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