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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 611–620 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
Breaking BERT: Understanding its Vulnerabilities for Named Entity Recognition through Adversarial AttackCode0
Improving Chemical Named Entity Recognition in Patents with Contextualized Word EmbeddingsCode0
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
Improving Natural Language Inference in Arabic using Transformer Models and Linguistically Informed Pre-TrainingCode0
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
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