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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 131–140 of 1729 papers

TitleStatusHype
COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity RecognitionCode1
Annotating the Tweebank Corpus on Named Entity Recognition and Building NLP Models for Social Media AnalysisCode1
AfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 African LanguagesCode1
CyNER: A Python Library for Cybersecurity Named Entity RecognitionCode1
Can images help recognize entities? A study of the role of images for Multimodal NERCode1
AraBERT: Transformer-based Model for Arabic Language UnderstandingCode1
A Neural Span-Based Continual Named Entity Recognition ModelCode1
Supplementary Features of BiLSTM for Enhanced Sequence LabelingCode1
Deeper Task-Specificity Improves Joint Entity and Relation ExtractionCode1
An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and NormalizationCode1
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