Improving Text Summarization Quality by Combining T5-Based Models and Convolutional Seq2Seq Models

Improving Text Summarization Quality by Combining T5-Based Models and Convolutional Seq2Seq Models

In the natural language processing field, there are several sub-fields that are very closely related to information retrieval, such as the automatic text summarization sub-field. obtained from the convolutional T5 and Seq2Seq models in summarizing text on hugging faces found features that can affec...

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Bibliographic Details
Main Authors: Arif Ridho Lubis, Habibi Ramdani Safitri, Irvan Irvan, Muharman Lubis, Al-Khowarizmi Al-Khowarizmi
Format: Article
Language:English
Published: Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI) 2023-12-01
Series:Journal of Applied Engineering and Technological Science
Subjects:
Model T5
Seq2Seq Convolutional
ROUGE
Online Access:http://www.yrpipku.com/journal/index.php/jaets/article/view/2503

Internet

http://www.yrpipku.com/journal/index.php/jaets/article/view/2503

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