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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 971–980 of 1729 papers

TitleStatusHype
YNU-HPCC at SemEval-2021 Task 10: Using a Transformer-based Source-Free Domain Adaptation Model for Semantic Processing—0
CSECU-DSG at SemEval-2021 Task 5: Leveraging Ensemble of Sequence Tagging Models for Toxic Spans Detection—0
An automated domain-independent text reading, interpreting and extracting approach for reviewing the scientific literature—0
SeqScore: Addressing Barriers to Reproducible Named Entity Recognition EvaluationCode1
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition—0
Stress Test Evaluation of Biomedical Word EmbeddingsCode0
Target-Oriented Fine-tuning for Zero-Resource Named Entity RecognitionCode1
BoningKnife: Joint Entity Mention Detection and Typing for Nested NER via prior Boundary Knowledge—0
MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity RecognitionCode1
Data Centric Domain Adaptation for Historical Text with OCR ErrorsCode0
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