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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 1481–1490 of 1729 papers

TitleStatusHype
Extrinsic Factors Affecting the Accuracy of Biomedical NER—0
F10-SGD: Fast Training of Elastic-net Linear Models for Text Classification and Named-entity Recognition—0
FaBERT: Pre-training BERT on Persian Blogs—0
FabKG: A Knowledge graph of Manufacturing Science domain utilizing structured and unconventional unstructured knowledge source—0
Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging—0
Feature Aggregation in Zero-Shot Cross-Lingual Transfer Using Multilingual BERT—0
Federated Learning with Layer Skipping: Efficient Training of Large Language Models for Healthcare NLP—0
Federated Named Entity Recognition—0
FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning—0
Few-Shot Class-Incremental Learning for Named Entity Recognition—0
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