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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 171–180 of 1729 papers

TitleStatusHype
Target-Oriented Fine-tuning for Zero-Resource Named Entity RecognitionCode1
MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity RecognitionCode1
A Span-Based Model for Joint Overlapped and Discontinuous Named Entity RecognitionCode1
De-biasing Distantly Supervised Named Entity Recognition via Causal InterventionCode1
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled DataCode1
XtremeDistilTransformers: Task Transfer for Task-agnostic DistillationCode1
A Unified Generative Framework for Various NER SubtasksCode1
Discontinuous Named Entity Recognition as Maximal Clique DiscoveryCode1
SpanNER: Named Entity Re-/Recognition as Span PredictionCode1
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity RecognitionCode1
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