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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 391–400 of 1729 papers

TitleStatusHype
GEIC: Universal and Multilingual Named Entity Recognition with Large Language Models—0
LLM-DER:A Named Entity Recognition Method Based on Large Language Models for Chinese Coal Chemical Domain—0
Cross-Lingual News Event Correlation for Stock Market Trend Prediction—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
Synthetic4Health: Generating Annotated Synthetic Clinical LettersCode0
Towards identifying Source credibility on Information Leakage in Digital Gadget Market—0
Preserving Empirical Probabilities in BERT for Small-sample Clinical Entity Recognition—0
LSTM Recurrent Neural Networks for Cybersecurity Named Entity Recognition—0
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