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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 726–750 of 1729 papers

TitleStatusHype
Focused training sets to reduce noise in NER feature models—0
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling—0
AI-assisted Knowledge Discovery in Biomedical Literature to Support Decision-making in Precision Oncology—0
CMNEROne at SemEval-2022 Task 11: Code-Mixed Named Entity Recognition by leveraging multilingual data—0
A Rule-Based Methodology for Company Identification: Application to the Downstream Space Sector—0
HardEval: Focusing on Challenging Tokens to Assess Robustness of NER—0
End-to-end named entity extraction from speech—0
End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies—0
FRASIMED: a Clinical French Annotated Resource Produced through Crosslingual BERT-Based Annotation Projection—0
Bitext Name Tagging for Cross-lingual Entity Annotation Projection—0
From Dialogue to Diagram: Task and Relationship Extraction from Natural Language for Accelerated Business Process Prototyping—0
From Voice to Safety: Language AI Powered Pilot-ATC Communication Understanding for Airport Surface Movement Collision Risk Assessment—0
From Zero to Hero: On the Limitations of Zero-Shot Cross-Lingual Transfer with Multilingual Transformers—0
Joint Entity Extraction and Assertion Detection for Clinical Text—0
BiTeM at WNUT 2020 Shared Task-1: Named Entity Recognition over Wet Lab Protocols using an Ensemble of Contextual Language Models—0
F-Score Driven Max Margin Neural Network for Named Entity Recognition in Chinese Social Media—0
Combining Minimally-supervised Methods for Arabic Named Entity Recognition—0
Annotating and normalizing biomedical NEs with limited knowledge—0
HAREM: the first evaluation contest for Named Entity Recognition in Portuguese—0
Combining neural and knowledge-based approaches to Named Entity Recognition in Polish—0
GAMedX: Generative AI-based Medical Entity Data Extractor Using Large Language Models—0
ComboNER: A Lightweight All-In-One POS Tagger, Dependency Parser and NER—0
Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition—0
Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition—0
Bit Cipher -- A Simple yet Powerful Word Representation System that Integrates Efficiently with Language Models—0
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