A Hybrid Approach for Assessing Research Text Clarity by Combining Semantic and Quantitative Measures

Pranit Prasant Pai, Kaashika Agrawal, Anushri Anil, Archit Saigal, Arti Arya

2025

Abstract

The concept of clarity of text is one that can be quite subjective in nature. This work aims to evaluate the clarity of published research in terms of two key components - Semantic Clarity and Quantitative Clarity. Semantic clarity aims to assess how effectively the meaning of the text is structured, articulated, and conveyed to the reader, and quantitative clarity employs a combination of previously defined formulations and metrics to provide measurable insights into the clarity of the text. Semantic Clarity, predicted using a BERT Model achieved a final validation Mean Squared Error of 0.0169, while the Quantitative Clarity, predicted using a DistilBERT Model, achieved a training loss of 6.9776 and validation loss of 3.6322. By integrating these two dimensions, this study seeks to enhance the overall evaluation process and contribute to a more nuanced understanding of research quality.

Paper Citation

in Harvard Style

Pai P., Agrawal K., Anil A., Saigal A. and Arya A. (2025). A Hybrid Approach for Assessing Research Text Clarity by Combining Semantic and Quantitative Measures. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-737-5, SciTePress, pages 144-152. DOI: 10.5220/0013118600003890

in Bibtex Style

@conference{icaart25,
author={Pranit Pai and Kaashika Agrawal and Anushri Anil and Archit Saigal and Arti Arya},
title={A Hybrid Approach for Assessing Research Text Clarity by Combining Semantic and Quantitative Measures},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2025},
pages={144-152},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013118600003890},
isbn={978-989-758-737-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - A Hybrid Approach for Assessing Research Text Clarity by Combining Semantic and Quantitative Measures
SN - 978-989-758-737-5
AU - Pai P.
AU - Agrawal K.
AU - Anil A.
AU - Saigal A.
AU - Arya A.
PY - 2025
SP - 144
EP - 152
DO - 10.5220/0013118600003890
PB - SciTePress