Enhancing Abstractive Multi-Document Summarization with Bert2Bert Model for Indonesian Language

Enhancing Abstractive Multi-Document Summarization with Bert2Bert Model for Indonesian Language

This study investigates the effectiveness of the proposed Bert2Bert and Bert2Bert+Xtreme models in improving abstract multi-document summarization for the Indonesian language. This study uses the transformer model as a basis for developing the proposed Bert2Bert and Bert2Bert+Xtreme models. The resu...

Full description

Saved in:
Bibliographic Details
Main Authors: Aldi Fahluzi Muharam, Yana Aditia Gerhana, Dian Sa'adillah Maylawati, Muhammad Ali Ramdhani, Titik Khawa Abdul Rahman
Format: Article
Language:English
Published: Universitas Islam Negeri Sunan Kalijaga Yogyakarta 2025-01-01
Series:JISKA (Jurnal Informatika Sunan Kalijaga)
Subjects:
Bert2Bert
Abstractive
Multi-document
Summarization
Transformer
Online Access:https://ejournal.uin-suka.ac.id/saintek/JISKA/article/view/4736
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items