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Title: Dataset adaption and evaluation on NLP models for automated grading system
Authors: Jiang, Yuxun
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2023
Publisher: Nanyang Technological University
Source: Jiang, Y. (2023). Dataset adaption and evaluation on NLP models for automated grading system. Master's thesis, Nanyang Technological University, Singapore.
Abstract: 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.
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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