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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 1221–1230 of 1729 papers

TitleStatusHype
Bench-Marking Information Extraction in Semi-Structured Historical Handwritten Records—0
Benchmarking Modern Named Entity Recognition Techniques for Free-text Health Record De-identification—0
BENNERD: A Neural Named Entity Linking System for COVID-19—0
BERTaú: Itaú BERT for digital customer service—0
BERT Based Clinical Knowledge Extraction for Biomedical Knowledge Graph Construction and Analysis—0
BERT-PersNER: A New Model for Persian Named Entity Recognition—0
Better Modeling of Incomplete Annotations for Named Entity Recognition—0
Better Semi-supervised Learning for Multi-domain ASR Through Incremental Retraining and Data Filtering—0
Beyond Accuracy: Automated De-Identification of Large Real-World Clinical Text Datasets—0
Beyond English: The Impact of Prompt Translation Strategies across Languages and Tasks in Multilingual LLMs—0
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