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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 951–960 of 1729 papers

TitleStatusHype
Wiki to Automotive: Understanding the Distribution Shift and its impact on Named Entity Recognition—0
NER-BERT: A Pre-trained Model for Low-Resource Entity Tagging—0
Multi-task pre-finetuning for zero-shot cross lingual transfer—0
Chemical Identification and Indexing in PubMed Articles via BERT and Text-to-Text Approaches—0
KARL-Trans-NER: Knowledge Aware Representation Learning for Named Entity Recognition using Transformers—0
Few-shot Named Entity Recognition with Cloze Questions—0
CL-NERIL: A Cross-Lingual Model for NER in Indian LanguagesCode0
Improving Tagging Consistency and Entity Coverage for Chemical Identification in Full-text Articles—0
Unsupervised Domain Adaptation with Contrastive Learning for Cross-domain Chinese NER—0
Cross-domain Named Entity Recognition via Graph Matching—0
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