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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 621–630 of 1729 papers

TitleStatusHype
Entity Recognition at First Sight: Improving NER with Eye Movement InformationCode0
Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative LearningCode0
Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-grained Student EnsembleCode0
Translation and Fusion Improves Zero-shot Cross-lingual Information ExtractionCode0
IXA/Cogcomp at SemEval-2023 Task 2: Context-enriched Multilingual Named Entity Recognition using Knowledge BasesCode0
JBNU-CCLab at SemEval-2022 Task 12: Machine Reading Comprehension and Span Pair Classification for Linking Mathematical Symbols to Their DescriptionsCode0
Evolution of ESG-focused DLT Research: An NLP Analysis of the LiteratureCode0
Evaluating Contextualized Language Models for HungarianCode0
Distantly Supervised Named Entity Recognition with Category-Oriented Confidence CalibrationCode0
A Feature-Rich Vietnamese Named-Entity Recognition ModelCode0
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