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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 731–740 of 1729 papers

TitleStatusHype
Phone-ing it in: Towards Flexible Multi-Modal Language Model Training by Phonetic Representations of DataCode0
TeluguNER: Leveraging Multi-Domain Named Entity Recognition with Deep Transformers—0
GNNer: Reducing Overlapping in Span-based NER Using Graph Neural NetworksCode1
Region-dependent temperature scaling for certainty calibration and application to class-imbalanced token classification—0
Auxiliary Learning for Named Entity Recognition with Multiple Auxiliary Biomedical Training Data—0
De-Bias for Generative Extraction in Unified NER Task—0
Pretrained Biomedical Language Models for Clinical NLP in SpanishCode1
Are you a hero or a villain? A semantic role labelling approach for detecting harmful memes.—0
Few-Shot Class-Incremental Learning for Named Entity Recognition—0
Learn and Review: Enhancing Continual Named Entity Recognition via Reviewing Synthetic Samples—0
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