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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 821–830 of 1729 papers

TitleStatusHype
High Quality ELMo Embeddings for Seven Less-Resourced Languages—0
HILGEN: Hierarchically-Informed Data Generation for Biomedical NER Using Knowledgebases and Large Language Models—0
Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database—0
ASU: An Experimental Study on Applying Deep Learning in Twitter Named Entity Recognition.—0
An Adaptive Framework for Named Entity Combination—0
Home Appliance Review Research Via Adversarial Reptile—0
A Deep Learning approach for Hindi Named Entity Recognition—0
Graph-Convolutional Networks: Named Entity Recognition and Large Language Model Embedding in Document Clustering—0
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction—0
A Study of the Importance of External Knowledge in the Named Entity Recognition Task—0
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