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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 61–70 of 1729 papers

TitleStatusHype
E-NER: Evidential Deep Learning for Trustworthy Named Entity RecognitionCode1
PromptNER: Prompt Locating and Typing for Named Entity RecognitionCode1
FOCUS: Effective Embedding Initialization for Monolingual Specialization of Multilingual ModelsCode1
Having Beer after Prayer? Measuring Cultural Bias in Large Language ModelsCode1
DiffusionNER: Boundary Diffusion for Named Entity RecognitionCode1
PromptNER: A Prompting Method for Few-shot Named Entity Recognition via k Nearest Neighbor SearchCode1
Learning In-context Learning for Named Entity RecognitionCode1
From Zero to Hero: Harnessing Transformers for Biomedical Named Entity Recognition in Zero- and Few-shot ContextsCode1
FindVehicle and VehicleFinder: A NER dataset for natural language-based vehicle retrieval and a keyword-based cross-modal vehicle retrieval systemCode1
EasyNER: A Customizable Easy-to-Use Pipeline for Deep Learning- and Dictionary-based Named Entity Recognition from Medical TextCode1
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