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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 601–610 of 1729 papers

TitleStatusHype
A Cooperative Multi-Agent Framework for Zero-Shot Named Entity RecognitionCode0
Distantly Supervised NER with Partial Annotation Learning and Reinforcement LearningCode0
Enhancing Label Consistency on Document-level Named Entity RecognitionCode0
Enhancing Language Models for Financial Relation Extraction with Named Entities and Part-of-SpeechCode0
Using Chinese Glyphs for Named Entity RecognitionCode0
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
Evaluating Named Entity Recognition: A comparative analysis of mono- and multilingual transformer models on a novel Brazilian corporate earnings call transcripts datasetCode0
Distantly Supervised Named Entity Recognition with Category-Oriented Confidence CalibrationCode0
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