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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 551–575 of 1729 papers

TitleStatusHype
A Corpus for Named Entity Recognition in Chinese Novels with Multi-genresCode0
Transformer-based Named Entity Recognition in Construction Supply Chain Risk Management in Australia—0
Comparison of pipeline, sequence-to-sequence, and GPT models for end-to-end relation extraction: experiments with the rare disease use-caseCode0
Efficient Transformer Knowledge Distillation: A Performance Review—0
Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning—0
Understanding and Mitigating Classification Errors Through Interpretable Token Patterns—0
Bit Cipher -- A Simple yet Powerful Word Representation System that Integrates Efficiently with Language Models—0
Extracting periodontitis diagnosis in clinical notes with RoBERTa and regular expression—0
Use GPT-J Prompt Generation with RoBERTa for NER Models on Diagnosis Extraction of Periodontal Diagnosis from Electronic Dental Records—0
SegMix: A Simple Structure-Aware Data Augmentation Method—0
Uncertainty Estimation on Sequential Labeling via Uncertainty TransmissionCode0
On the Analysis of Cross-Lingual Prompt Tuning for Decoder-based Multilingual Model—0
Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative LearningCode0
Less than One-shot: Named Entity Recognition via Extremely Weak SupervisionCode0
Injecting Categorical Labels and Syntactic Information into Biomedical NER—0
mahaNLP: A Marathi Natural Language Processing Library—0
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition—0
Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help?—0
Generating Medical Prescriptions with Conditional TransformerCode0
A Few-Shot Learning Focused Survey on Recent Named Entity Recognition and Relation Classification Methods—0
S2F-NER: Exploring Sequence-to-Forest Generation for Complex Entity Recognition—0
Arabic Fine-Grained Entity Recognition—0
ZGUL: Zero-shot Generalization to Unseen Languages using Multi-source Ensembling of Language AdaptersCode0
Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances—0
Towards Automated Recipe Genre Classification using Semi-Supervised Learning—0
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