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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 361–370 of 1729 papers

TitleStatusHype
Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation?Code0
Classification of US Supreme Court Cases using BERT-Based TechniquesCode0
Few-shot Named Entity Recognition via Superposition Concept DiscriminationCode0
FsPONER: Few-shot Prompt Optimization for Named Entity Recognition in Domain-specific ScenariosCode0
Exploring Robustness of Multilingual LLMs on Real-World Noisy DataCode0
Exploring Partial Knowledge Base Inference in Biomedical Entity LinkingCode0
Exploring Segment Representations for Neural Segmentation ModelsCode0
Exploiting Multiple Embeddings for Chinese Named Entity RecognitionCode0
CLaC at SemEval-2023 Task 2: Comparing Span-Prediction and Sequence-Labeling approaches for NERCode0
Leveraging Cross-Lingual Transfer Learning in Spoken Named Entity Recognition SystemsCode0
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