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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 881–890 of 1729 papers

TitleStatusHype
Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity?—0
Biographical: A Semi-Supervised Relation Extraction Dataset—0
Extract-Select: A Span Selection Framework for Nested Named Entity Recognition with Generative Adversarial Training—0
TeluguNER: Leveraging Multi-Domain Named Entity Recognition with Deep Transformers—0
Learn and Review: Enhancing Continual Named Entity Recognition via Reviewing Synthetic Samples—0
Simple Semantic-based Data Augmentation for Named Entity Recognition in Biomedical Texts—0
Few-Shot Class-Incremental Learning for Named Entity Recognition—0
Phone-ing it in: Towards Flexible Multi-Modal Language Model Training by Phonetic Representations of DataCode0
De-Bias for Generative Extraction in Unified NER Task—0
Extracting Person Names from User Generated Text: Named-Entity Recognition for Combating Human Trafficking—0
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