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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 541–550 of 1729 papers

TitleStatusHype
Def2Vec: Extensible Word Embeddings from Dictionary DefinitionsCode0
Low-resource classification of mobility functioning information in clinical sentences using large language models—0
Identifying Planetary Names in Astronomy Papers: A Multi-Step Approach—0
Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation PurificationCode0
Beyond Accuracy: Automated De-Identification of Large Real-World Clinical Text Datasets—0
Augmenty: A Python Library for Structured Text Augmentation—0
Enhanced E-Commerce Attribute Extraction: Innovating with Decorative Relation Correction and LLAMA 2.0-Based Annotation—0
Redefining Developer Assistance: Through Large Language Models in Software Ecosystem—0
On Significance of Subword tokenization for Low Resource and Efficient Named Entity Recognition: A case study in Marathi—0
Leveraging deep active learning to identify low-resource mobility functioning information in public clinical notes—0
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