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Leveraging Unseen Features along with their PLM-based Representation to Handle Negative Covariate Shift Problem in Text Classification Cover

Leveraging Unseen Features along with their PLM-based Representation to Handle Negative Covariate Shift Problem in Text Classification

Foundations of Computing and Decision Sciences
Volume 49 (2024): Issue 4 (December 2024)
By: Nesar Ahmad Wasi and  Muhammad Abulaish  
Open Access
|Nov 2024
DOI: https://doi.org/10.2478/fcds-2024-0020 | Journal eISSN: 2300-3405 | Journal ISSN: 0867-6356
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Language: English
Page range: 409 - 430
Submitted on: Sep 17, 2023
Accepted on: Jun 17, 2024
Published on: Nov 30, 2024
Published by: Poznan University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Machine Learning,
Covariate Shift,
Unseen Features,
Text Classification,
Word Embedding
Related subjects:
Computer sciences,
Artificial intelligence,
Software development

© 2024 Nesar Ahmad Wasi, Muhammad Abulaish, published by Poznan University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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