Validity Arguments for Automated Essay Scoring of Young Students' Writing Traits

L Hannah, EE Jang, M Shah… - Language Assessment …, 2023 - Taylor & Francis
Machines have a long-demonstrated ability to find statistical relationships between qualities
of texts and surface-level linguistic indicators of writing. More recently, unlocked by artificial …

Fake news detection using machine learning

V Gupta, RS Mathur, T Bansal… - … Conference on Machine …, 2022 - ieeexplore.ieee.org
With the advent of the World Wide Web and the swift advocacy of online platforms paved the
way for news propagation that has never been seen in the past. With the present situation of …

Automated assessment of subjective assignments: A hybrid approach

N Birla, MK Jain, A Panwar - Expert Systems with Applications, 2022 - Elsevier
Abstract Machine learning (ML) has recently gained popularity in a variety of domains for
automating tasks. This has also been used in the evaluation of student responses …

A Comparison of Machine Learning and Neural Network Algorithms for an Automated Thai Essay Scoring

S Suriyasat, S Chanyachatchawan… - … Joint Conference on …, 2023 - ieeexplore.ieee.org
Thai students have relatively low scores on the reading literacy assessment conducted by
PISA. Various studies reported that reading skills could be improved by writing. However …

[PDF][PDF] Aegd: Arabic essay grading dataset for machine learning

B Al-Shargabi, R Alzyadat, F Hamad - Journal of Theoretical and Applied …, 2021 - jatit.org
ABSTRACT Recently, developing an Automatic Essays Grading (AEG) system has become
an attractive topic in industry and academia. Most of the grading systems rely on machine …

[PDF][PDF] AESVoting: Automatic Essay Scoring with Bert and Voting Classifiers

TB de Lima, E Freitas, V Macario - Proceedings of the 16th …, 2024 - aclanthology.org
In this work, we explore the use of pre-trained models to extract features to automatic
essayscoring tasks using Multinomial Logistic Regression, Random Forest and Guassian …

Variable Selection with Machine Learning in the Legalization Process for Traffic Insurance

V Güneş, S Kırca, HE Yagcı, NG Narın - The Eurasia Proceedings of …, 2023 - epstem.net
In the insurance sector, the insured notifies the insurance company of which he is the
customer as soon as the damage occurs. Upon this notice, a claim file is opened to the …

IDENTIFICATION AND CLASSIFICATION OF ARCHITECTURALLY SIGNIFICANT NON-FUNCTIONAL REQUIREMENT

M Esmael - 2021 - ir.bdu.edu.et
Architectural design is the first task after the requirement elicitation and analysis phase. In
designing software architecture, the elicited requirements are the most important …