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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 401–410 of 1729 papers

TitleStatusHype
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
A Dataset and Strong Baselines for Classification of Czech News TextsCode0
UMLS-KGI-BERT: Data-Centric Knowledge Integration in Transformers for Biomedical Entity Recognition—0
Mutual Reinforcement Effects in Japanese Sentence Classification and Named Entity Recognition Tasks—0
Cross-Lingual NER for Financial Transaction Data in Low-Resource Languages—0
RoPDA: Robust Prompt-based Data Augmentation for Low-Resource Named Entity Recognition—0
Named entity recognition using GPT for identifying comparable companies—0
Automatic Coding at Scale: Design and Deployment of a Nationwide System for Normalizing Referrals in the Chilean Public Healthcare System—0
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