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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
Effectiveness of Cross-linguistic Extraction of Genetic Information using Generative Large Language ModelsCode0
SLIMER-IT: Zero-Shot NER on Italian LanguageCode0
NER-Luxury: Named entity recognition for the fashion and luxury domain—0
A Large Language Model and Denoising Diffusion Framework for Targeted Design of Microstructures with Commands in Natural Language—0
GEIC: Universal and Multilingual Named Entity Recognition with Large Language Models—0
Cross-Lingual News Event Correlation for Stock Market Trend Prediction—0
LLM-DER:A Named Entity Recognition Method Based on Large Language Models for Chinese Coal Chemical Domain—0
A Knowledge-Enhanced Disease Diagnosis Method Based on Prompt Learning and BERT Integration—0
Model Selection Through Model Sorting—0
Generating Synthetic Free-text Medical Records with Low Re-identification Risk using Masked Language ModelingCode0
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