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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 391–400 of 1729 papers

TitleStatusHype
Generative AI for Business Strategy: Using Foundation Models to Create Business Strategy Tools—0
Evolution of ESG-focused DLT Research: An NLP Analysis of the LiteratureCode0
Extracting Relational Triples Based on Graph Recursive Neural Network via Dynamic Feedback Forest Algorithm—0
Accelerated materials language processing enabled by GPT—0
mCL-NER: Cross-Lingual Named Entity Recognition via Multi-view Contrastive Learning—0
BIOptimus: Pre-training an Optimal Biomedical Language Model with Curriculum Learning for Named Entity RecognitionCode0
Automated Testing and Improvement of Named Entity Recognition Systems—0
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity RecognitionCode2
Learning Implicit Entity-object Relations by Bidirectional Generative Alignment for Multimodal NER—0
Resume Evaluation through Latent Dirichlet Allocation and Natural Language Processing for Effective Candidate Selection—0
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