Crowdsourcing-based automated essay scoring framework
Automated Essay Scoring (AES) is a challenging topic in Natural Language Processing. Although deep learning models achieve remarkable performance for the AES task, they have two major problems. Most AES models are unable to handle the out-of-vocabulary (OOV) words. Besides, training AES models is...
Saved in:
Main Author: | Bai, Huanyu |
---|---|
Other Authors: | Hui Siu Cheung |
Format: | Thesis-Master by Research |
Language: | English |
Published: |
Nanyang Technological University
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/164525 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
A crowdsourcing-based incremental learning framework for automated essays scoring
by: Bai, Huanyu, et al.
Published: (2024) -
Gated convolutional neural network for fine-grained automatic essay scoring
by: Lee, Xing Zhao
Published: (2017) -
Automated essay scoring with incremental learning through crowdsourcing
by: Huang, Zhilin
Published: (2021) -
Learning-based mechanism design for microtask crowdsourcing
by: Hu, Zehong
Published: (2018) -
Fair and explainable AI empowered crowdsourcing
by: Liu, Howard Jianling
Published: (2020)