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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 611–620 of 1729 papers

TitleStatusHype
mCL-NER: Cross-Lingual Named Entity Recognition via Multi-view Contrastive Learning—0
BIOptimus: Pre-training an Optimal Biomedical Language Model with Curriculum Learning for Named Entity RecognitionCode0
Automated Testing and Improvement of Named Entity Recognition Systems—0
Learning Implicit Entity-object Relations by Bidirectional Generative Alignment for Multimodal NER—0
Resume Evaluation through Latent Dirichlet Allocation and Natural Language Processing for Effective Candidate Selection—0
Improving Natural Language Inference in Arabic using Transformer Models and Linguistically Informed Pre-TrainingCode0
Embedding Models for Supervised Automatic Extraction and Classification of Named Entities in Scientific AcknowledgementsCode0
A Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks—0
UMLS-KGI-BERT: Data-Centric Knowledge Integration in Transformers for Biomedical Entity Recognition—0
A Dataset and Strong Baselines for Classification of Czech News TextsCode0
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