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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 681–690 of 1729 papers

TitleStatusHype
Feature Aggregation in Zero-Shot Cross-Lingual Transfer Using Multilingual BERT—0
A Local Detection Approach for Named Entity Recognition and Mention Detection—0
GBD-NER at PARSEME Shared Task 2018: Multi-Word Expression Detection Using Bidirectional Long-Short-Term Memory Networks and Graph-Based Decoding—0
Enhanced E-Commerce Attribute Extraction: Innovating with Decorative Relation Correction and LLAMA 2.0-Based Annotation—0
Federated Named Entity Recognition—0
FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning—0
English Recipe Flow Graph Corpus—0
BoningKnife: Joint Entity Mention Detection and Typing for Nested NER via prior Boundary Knowledge—0
GEIC: Universal and Multilingual Named Entity Recognition with Large Language Models—0
Generalisation in Named Entity Recognition: A Quantitative Analysis—0
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