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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 661–670 of 1729 papers

TitleStatusHype
A Pragmatic Guide to Geoparsing EvaluationCode0
A Feature-Based Model for Nested Named-Entity Recognition at VLSP-2018 NER Evaluation CampaignCode0
Few-shot classification in Named Entity Recognition TaskCode0
Hierarchical Contextualized Representation for Named Entity RecognitionCode0
Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized RepresentationsCode0
DictBERT: Dictionary Description Knowledge Enhanced Language Model Pre-training via Contrastive Learning—0
An Empirical Study on Fine-Grained Named Entity Recognition—0
DGT-TM: A freely Available Translation Memory in 22 Languages—0
DEXTER: Deep Encoding of External Knowledge for Named Entity Recognition in Virtual Assistants—0
BERT Based Clinical Knowledge Extraction for Biomedical Knowledge Graph Construction and Analysis—0
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