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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 641–650 of 1729 papers

TitleStatusHype
Examining risks of racial biases in NLP tools for child protective services—0
Annotation Guidelines for Corpus Novelties: Part 1 -- Named Entity Recognition—0
Annotation Errors and NER: A Study with OntoNotes 5.0—0
Exhaustive Entity Recognition for Coptic: Challenges and Solutions—0
Explicit Modeling the Context for Chinese NER—0
Exploiting Global Contextual Information for Document-level Named Entity Recognition—0
Fine-grained Location Extraction via Curriculum Learning—0
Apprentissage d'agents conversationnels pour la gestion de relations clients (Training chatbots for customer relation management)—0
Explorers at #SMM4H 2023: Enhancing BERT for Health Applications through Knowledge and Model Fusion—0
Enhanced E-Commerce Attribute Extraction: Innovating with Decorative Relation Correction and LLAMA 2.0-Based Annotation—0
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