Learning Distributed Representations and Deep Embedded Clustering of Texts

Learning Distributed Representations and Deep Embedded Clustering of Texts

Instructors face significant time and effort constraints when grading students’ assessments on a large scale. Clustering similar assessments is a unique and effective technique that has the potential to significantly reduce the workload of instructors in online and large-scale learning environments....

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Bibliographic Details
Main Authors: Shuang Wang, Amin Beheshti, Yufei Wang, Jianchao Lu, Quan Z. Sheng, Stephen Elbourn, Hamid Alinejad-Rokny
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Algorithms
Subjects:
distributed representation
deep clustering
data augmentation
contrastive learning
artificial intelligence
Online Access:https://www.mdpi.com/1999-4893/16/3/158

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