Apr 4, 2022 · In this paper, long text feature extraction network with data augmentation (LTFE) was proposed, which improves the learning performance of the classifier.

Between the TMLM-F and DA-PEC processes, we use Attention to capture the dependencies between words and generate corresponding vector representations. The ...

Long text feature extraction network with data augmentation (LTFE) was proposed, which improves the learning performance of the classifier by optimizing the ...

Oct 22, 2024 · In this paper, long text feature extraction network with data augmentation (LTFE) was proposed, which improves the learning performance of the ...

Long text feature extraction network with data augmentation. https://doi.org/10.1007/s10489-022-03185-0. Journal: Applied Intelligence, 2022, № 15, p.

... long text data. In this paper, long text feature extraction network with data augmentation (LTFE) was proposed, which improves the learning performance of ...

Long text feature extraction network with data augmentation. Overview of attention for article published in Applied Intelligence, April 2022. Altmetric Badge ...

Aug 5, 2024 · This paper proposes two data augmentation methods—Contextual Random Replacement based on Word2Vec Augmentation (CRR) and Targeted Entity Random ...

Feb 26, 2022 · In this article, we will demonstrate in-depth text data augmentation in Natural language Processing with the Texattack library.

Jun 28, 2024 · This survey explores the transformative impact of LLMs on DA, particularly addressing the unique challenges and opportunities they present in the context of ...