Dataset adaption and evaluation on NLP models for automated grading system

With the development of artificial intelligence in recent years, NLP (Natural Language Processing) has become increasingly mature, and one of its applica tions includes AGS (Automated Grading System). AGS plays a very important role in today’s educational learning by assigning a specific score to...

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Main Author:	Jiang, Yuxun
Other Authors:	Lihui Chen
Format:	Thesis-Master by Coursework
Language:	English
Published:	Nanyang Technological University 2023
Subjects:	Engineering::Electrical and electronic engineering
Online Access:	https://hdl.handle.net/10356/169103
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Institution:	Nanyang Technological University
Language:	English

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spelling	sg-ntu-dr.10356-1691032023-07-04T15:36:44Z Dataset adaption and evaluation on NLP models for automated grading system Jiang, Yuxun Lihui Chen School of Electrical and Electronic Engineering ELHCHEN@ntu.edu.sg Engineering::Electrical and electronic engineering With the development of artificial intelligence in recent years, NLP (Natural Language Processing) has become increasingly mature, and one of its applica tions includes AGS (Automated Grading System). AGS plays a very important role in today’s educational learning by assigning a specific score to a given response to a specific question. And how to improve the accuracy of AGS be comes a crucial issue. One of them is how to process at the data level to make the results better, and the other is how to choose a better language model to achieve better results. In this dissertation, we compare the data and network structure to illustrate how to train a better AGS system. Master of Science (Computer Control and Automation) 2023-06-30T04:15:36Z 2023-06-30T04:15:36Z 2023 Thesis-Master by Coursework Jiang, Y. (2023). Dataset adaption and evaluation on NLP models for automated grading system. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/169103 https://hdl.handle.net/10356/169103 en application/pdf Nanyang Technological University
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	Engineering::Electrical and electronic engineering
spellingShingle	Engineering::Electrical and electronic engineering Jiang, Yuxun Dataset adaption and evaluation on NLP models for automated grading system
description	With the development of artificial intelligence in recent years, NLP (Natural Language Processing) has become increasingly mature, and one of its applica tions includes AGS (Automated Grading System). AGS plays a very important role in today’s educational learning by assigning a specific score to a given response to a specific question. And how to improve the accuracy of AGS be comes a crucial issue. One of them is how to process at the data level to make the results better, and the other is how to choose a better language model to achieve better results. In this dissertation, we compare the data and network structure to illustrate how to train a better AGS system.
author2	Lihui Chen
author_facet	Lihui Chen Jiang, Yuxun
format	Thesis-Master by Coursework
author	Jiang, Yuxun
author_sort	Jiang, Yuxun
title	Dataset adaption and evaluation on NLP models for automated grading system
title_short	Dataset adaption and evaluation on NLP models for automated grading system
title_full	Dataset adaption and evaluation on NLP models for automated grading system
title_fullStr	Dataset adaption and evaluation on NLP models for automated grading system
title_full_unstemmed	Dataset adaption and evaluation on NLP models for automated grading system
title_sort	dataset adaption and evaluation on nlp models for automated grading system
publisher	Nanyang Technological University
publishDate	2023
url	https://hdl.handle.net/10356/169103
_version_	1772828138140598272

Dataset adaption and evaluation on NLP models for automated grading system

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