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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
An Investigation towards Differentially Private Sequence Tagging in a Federated Framework—0
Biomedical NER using Novel Schema and Distant Supervision—0
Improving Precancerous Case Characterization via Transformer-based Ensemble Learning—0
Counterfactual Thinking for Long-tailed Information Extraction—0
Hybrid Multi-stage Decoding for Few-shot NER with Entity-aware Contrastive Learning—0
Hybrid NER System for Multi-Source Offer Feeds—0
Improving Tagging Consistency and Entity Coverage for Chemical Identification in Full-text Articles—0
H_eval: A new hybrid evaluation metric for automatic speech recognition tasks—0
EL4NER: Ensemble Learning for Named Entity Recognition via Multiple Small-Parameter Large Language Models—0
EIoU-EMC: A Novel Loss for Domain-specific Nested Entity Recognition—0
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