A review on NLP zero-shot and few-shot learning: methods and applications

A review on NLP zero-shot and few-shot learning: methods and applications

Abstract Zero-shot and few-shot learning techniques in natural language processing (NLP), this comprehensive review traces their evolution from traditional methods to cutting-edge approaches like transfer learning and pre-trained language models, semantic embedding, attribute-based approaches, gener...

Full description

Saved in:
Bibliographic Details
Main Authors: G. Ramesh, Mahammad Sahil, Shashank A. Palan, Darshan Bhandary, Teli Abhishek Ashok, J. Shreyas, N. Sowjanya
Format: Article
Language:English
Published: Springer 2025-08-01
Series:Discover Applied Sciences
Subjects:
Machine learning
Deep learning
Artificial intelligence
Natural language processing
Zero-shot learning
Few-shot learning
Online Access:https://doi.org/10.1007/s42452-025-07225-5
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1007/s42452-025-07225-5

Similar Items