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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 776–800 of 1729 papers

TitleStatusHype
Comprehensive Overview of Named Entity Recognition: Models, Domain-Specific Applications and Challenges—0
GerPS-Compare: Comparing NER methods for legal norm analysis—0
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding—0
Computational Approaches to Arabic-English Code-Switching—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
Bitext Name Tagging for Cross-lingual Entity Annotation Projection—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
Annotating and normalizing biomedical NEs with limited knowledge—0
GlobalNER: Incorporating Non-local Information into Named Entity Recognition—0
Global Pointer: Novel Efficient Span-based Approach for Named Entity Recognition—0
CoNECo: A corpus for named entity recognition and normalization of protein complexes—0
Confidence penalty, annealing Gaussian noise and zoneout for biLSTM-CRF networks for named entity recognition—0
Improved Named Entity Recognition for Noisy Call Center Transcripts—0
Bit Cipher -- A Simple yet Powerful Word Representation System that Integrates Efficiently with Language Models—0
IIT (BHU) Submission for the ACL Shared Task on Named Entity Recognition on Code-switched Data—0
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER—0
GottBERT: a pure German Language Model—0
Empirical Study of Named Entity Recognition Performance Using Distribution-aware Word Embedding—0
Annotated Job Ads with Named Entity Recognition—0
A Study of the Importance of External Knowledge in the Named Entity Recognition Task—0
Graph-Convolutional Networks: Named Entity Recognition and Large Language Model Embedding in Document Clustering—0
EMBRE: Entity-aware Masking for Biomedical Relation Extraction—0
BioMNER: A Dataset for Biomedical Method Entity Recognition—0
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