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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 461–470 of 1729 papers

TitleStatusHype
Mix of Experts Language Model for Named Entity Recognition—0
HistNERo: Historical Named Entity Recognition for the Romanian Language—0
Reading Order Independent Metrics for Information Extraction in Handwritten Documents—0
A Unified Label-Aware Contrastive Learning Framework for Few-Shot Named Entity Recognition—0
2M-NER: Contrastive Learning for Multilingual and Multimodal NER with Language and Modal Fusion—0
Incorporating Lexical and Syntactic Knowledge for Unsupervised Cross-Lingual TransferCode0
Software Mention Recognition with a Three-Stage Framework Based on BERTology Models at SOMD 2024—0
EnzChemRED, a rich enzyme chemistry relation extraction dataset—0
Few-shot Name Entity Recognition on StackOverflow—0
ToNER: Type-oriented Named Entity Recognition with Generative Language ModelCode0
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