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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 526–550 of 1729 papers

TitleStatusHype
Arabic Named Entity Recognition using Word Representations—0
A Machine Learning Approach to Quantitative Prosopography—0
Adaptive Name Entity Recognition under Highly Unbalanced Data—0
C-ICL: Contrastive In-context Learning for Information Extraction—0
Arabic Fine-Grained Entity Recognition—0
Chinese Word Attention based on Valid Division of Sentence—0
Arabic-English Text Translation Leveraging Hybrid NER—0
AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging—0
EnzChemRED, a rich enzyme chemistry relation extraction dataset—0
Chinese Named Entity Recognition via Adaptive Multi-pass Memory Network with Hierarchical Tagging Mechanism—0
Entity Decomposition with Filtering: A Zero-Shot Clinical Named Entity Recognition Framework—0
A Local Detection Approach for Named Entity Recognition and Mention Detection—0
A PubMedBERT-based Classifier with Data Augmentation Strategy for Detecting Medication Mentions in Tweets—0
Entity Candidate Network for Whole-Aware Named Entity Recognition—0
Entity Enhanced BERT Pre-training for Chinese NER—0
Chemical Identification and Indexing in PubMed Articles via BERT and Text-to-Text Approaches—0
A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Name Entity Recognition—0
Cheap Translation for Cross-Lingual Named Entity Recognition—0
Chatbot: A Conversational Agent employed with Named Entity Recognition Model using Artificial Neural Network—0
All Roads Lead to UD: Converting Stanford and Penn Parses to English Universal Dependencies with Multilayer Annotations—0
A Co-guided Neural Network for Person Name Recognition in Academic Homepages—0
Entity Resolution in Open-domain Conversations—0
EPICURE Ensemble Pretrained Models for Extracting Cancer Mutations from Literature—0
Enhancing Supply Chain Visibility with Knowledge Graphs and Large Language Models—0
Character-Level Feature Extraction with Densely Connected Networks—0
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