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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
Sliced at SemEval-2022 Task 11: Bigger, Better? Massively Multilingual LMs for Multilingual Complex NER on an Academic GPU Budget—0
UC3M-PUCPR at SemEval-2022 Task 11: An Ensemble Method of Transformer-based Models for Complex Named Entity Recognition—0
Uncertainty-Aware Cross-Lingual Transfer with Pseudo Partial LabelsCode0
L3i at SemEval-2022 Task 11: Straightforward Additional Context for Multilingual Named Entity Recognition—0
PA Ph&Tech at SemEval-2022 Task 11: NER Task with Ensemble Embedding from Reinforcement Learning—0
Dynamic Gazetteer Integration in Multilingual Models for Cross-Lingual and Cross-Domain Named Entity Recognition—0
DS4DH at SemEval-2022 Task 11: Multilingual Named Entity Recognition Using an Ensemble of Transformer-based Language Models—0
”Diversity and Uncertainty in Moderation” are the Key to Data Selection for Multilingual Few-shot Transfer—0
"Diversity and Uncertainty in Moderation" are the Key to Data Selection for Multilingual Few-shot Transfer—0
GERNERMED++: Transfer Learning in German Medical NLPCode0
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