An automatic grading model for semantic complexity of english texts using bidirectional attention-based autoencoder

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An automatic grading model for semantic complexity of english texts using bidirectional attention-based autoencoder

With the advent of the information age, the massive increase of English text data puts forward higher requirements for text analysis and processing. The aim of this study is to accurately evaluate the semantic complexity of English text through an autoencoder structure based on bidirectional attenti...

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Bibliographic Details
Main Authors:	Chen, Ruo Han, Ng, Boon Sim, Paramasivam, Shamala, Ren, Li
Format:	Article
Published:	World Scientific 2024
Online Access:	http://psasir.upm.edu.my/id/eprint/114245/

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