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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 101–110 of 1729 papers

TitleStatusHype
An Embarrassingly Easy but Strong Baseline for Nested Named Entity RecognitionCode1
MultiNERD: A Multilingual, Multi-Genre and Fine-Grained Dataset for Named Entity Recognition (and Disambiguation)Code1
A Label-Aware Autoregressive Framework for Cross-Domain NERCode1
NERDA-Con: Extending NER models for Continual Learning -- Integrating Distinct Tasks and Updating Distribution ShiftsCode1
TOKEN is a MASK: Few-shot Named Entity Recognition with Pre-trained Language ModelsCode1
Enhanced Entity Annotations for Multilingual CorporaCode1
RuNNE-2022 Shared Task: Recognizing Nested Named EntitiesCode1
Vector-Quantized Input-Contextualized Soft Prompts for Natural Language UnderstandingCode1
Wojood: Nested Arabic Named Entity Corpus and Recognition using BERTCode1
Hero-Gang Neural Model For Named Entity RecognitionCode1
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