Towards Personalized and Simplified Expository Texts: Pre-trained Classification and Neural Networks Co-Modeling
The goal of automatic text simplification is to reorganize complex text structures into simpler, more comprehendible texts while retaining their original meaning. The automatic text simplification model, coupled with the personalization element, makes it an indispensable tool for assisting students...
Published in: | 2022 12th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2022 |
---|---|
Main Author: | Sukiman S.A.; Azura Husin N. |
Format: | Conference paper |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2022
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133479468&doi=10.1109%2fISCAIE54458.2022.9794534&partnerID=40&md5=d3fd294b388e3c9f59c9c746c6e73c5c |
Similar Items
-
A Hybrid Personalized Text Simplification Framework Leveraging the Deep Learning-based Transformer Model for Dyslexic Students
by: Sukiman S.A.; Husin N.A.; Hamdan H.; Murad M.A.A.
Published: (2024) -
Simplified Artificial Neural Network Configuration in R Programming for Predictive Modelling
by: Razak T.R.; Jarimi H.; Ahmad E.Z.
Published: (2023) -
Single phase shunt active power filter with simplified ADALINE neural network
by: Mohd Zainuri M.A.A.; Radzi M.A.M.; Abdul Rahman N.F.A.; Soh A.C.; Rahim N.A.
Published: (2014) -
A Performance Comparison of NLP Text Pre-Processing Techniques for Analysing Personality Based on Myers Briggs Type Indicator (MBTI)
by: Rauf M.H.A.; Johan E.J.; Aziz Z.A.
Published: (2023) -
Application of Multi-Modal Neural Networks in Verifying the Authenticity of News Text and Images
by: Li, et al.
Published: (2023)