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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 441–450 of 1729 papers

TitleStatusHype
Extrinsic Factors Affecting the Accuracy of Biomedical NER—0
E-NER: Evidential Deep Learning for Trustworthy Named Entity RecognitionCode1
ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER—0
Tokenization Impacts Multilingual Language Modeling: Assessing Vocabulary Allocation and Overlap Across LanguagesCode0
People and Places of Historical Europe: Bootstrapping Annotation Pipeline and a New Corpus of Named Entities in Late Medieval Texts—0
Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint AveragingCode0
PromptNER: Prompt Locating and Typing for Named Entity RecognitionCode1
Jointprop: Joint Semi-supervised Learning for Entity and Relation Extraction with Heterogeneous Graph-based Propagation—0
Automated Refugee Case Analysis: An NLP Pipeline for Supporting Legal PractitionersCode0
PromptNER: Prompting For Named Entity Recognition—0
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