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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 971–980 of 1729 papers

TitleStatusHype
MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective—0
TextMosaic: A New Data Augmentation Method for Named Entity Recognition Using Document-Level Contexts—0
Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition—0
Textual Entailment with Dynamic Contrastive Learning for Zero-shot NER—0
Learning to Learn Recognising Biomedical Entities from Multiple Domains with Task Hardness—0
Computer Science Articles Named Entity Recognition Datasets: Survey and Our Recent Development—0
SegMix: A Simple Structure-Aware Data Augmentation Method—0
AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction—0
An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity RecognitionCode0
DAML: Chinese Named Entity Recognition with a fusion method of data-augmentation and meta-learning—0
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