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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 441–450 of 1729 papers

TitleStatusHype
Cross-lingual Pseudo-Projected Expectation Regularization for Weakly Supervised Learning—0
Cross-Lingual Transfer for Distantly Supervised and Low-resources Indonesian NER—0
A multimodal deep learning approach for named entity recognition from social media—0
Development and Evaluation of Three Named Entity Recognition Systems for Serbian - The Case of Personal Names—0
A Unified Label-Aware Contrastive Learning Framework for Few-Shot Named Entity Recognition—0
Cross Script Hindi English NER Corpus from Wikipedia—0
Development of a WAZOBIA-Named Entity Recognition System—0
DGT-TM: A freely Available Translation Memory in 22 Languages—0
Automated Detection of Clinical Entities in Lung and Breast Cancer Reports Using NLP Techniques—0
A Semi-Markov Structured Support Vector Machine Model for High-Precision Named Entity Recognition—0
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