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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 831–840 of 1729 papers

TitleStatusHype
Graph-Convolutional Networks: Named Entity Recognition and Large Language Model Embedding in Document Clustering—0
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction—0
A Study of the Importance of External Knowledge in the Named Entity Recognition Task—0
GottBERT: a pure German Language Model—0
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER—0
Hybrid NER System for Multi-Source Offer Feeds—0
Connecting Distant Entities with Induction through Conditional Random Fields for Named Entity Recognition: Precursor-Induced CRF—0
CoNLL#: Fine-grained Error Analysis and a Corrected Test Set for CoNLL-03 English—0
A Study of Recent Contributions on Information Extraction—0
Confidence penalty, annealing Gaussian noise and zoneout for biLSTM-CRF networks for named entity recognition—0
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