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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 361–370 of 1729 papers

TitleStatusHype
Federated Incremental Named Entity RecognitionCode0
Information Extraction from Clinical Notes: Are We Ready to Switch to Large Language Models?Code0
A Brief History of Named Entity Recognition—0
TriG-NER: Triplet-Grid Framework for Discontinuous Named Entity RecognitionCode0
SinaTools: Open Source Toolkit for Arabic Natural Language Processing—0
Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large Language Model—0
ReverseNER: A Self-Generated Example-Driven Framework for Zero-Shot Named Entity Recognition with Large Language Models—0
Bonafide at LegalLens 2024 Shared Task: Using Lightweight DeBERTa Based Encoder For Legal Violation Detection and ResolutionCode0
WikiNER-fr-gold: A Gold-Standard NER Corpus—0
SandboxAQ's submission to MRL 2024 Shared Task on Multi-lingual Multi-task Information Retrieval—0
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