Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection

Vinícius da Silva, João Paulo Papa, Kelton Augusto Pontara da Costa

2023

Abstract

Automatic Text Summarization (ATS) is becoming relevant with the growth of textual data; however, with the popularization of public large-scale datasets, some recent machine learning approaches have focused on dense models and architectures that, despite producing notable results, usually turn out in models difficult to interpret. Given the challenge behind interpretable learning-based text summarization and the importance it may have for evolving the current state of the ATS field, this work studies the application of two modern Generalized Additive Models with interactions, namely Explainable Boosting Machine and GAMI-Net, to the extractive summarization problem based on linguistic features and binary classification.

Paper Citation

in Harvard Style

da Silva V., Papa J. and Pontara da Costa K. (2023). Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP; ISBN 978-989-758-634-7, SciTePress, pages 737-745. DOI: 10.5220/0011664100003417

in Bibtex Style

@conference{visapp23,
author={Vinícius da Silva and João Paulo Papa and Kelton Augusto Pontara da Costa},
title={Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP},
year={2023},
pages={737-745},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011664100003417},
isbn={978-989-758-634-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP
TI - Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection
SN - 978-989-758-634-7
AU - da Silva V.
AU - Papa J.
AU - Pontara da Costa K.
PY - 2023
SP - 737
EP - 745
DO - 10.5220/0011664100003417
PB - SciTePress