Abstractive Dialogue Summarization using Fine-Tuning Pre-Trained Language Model BART

The increasing volume of conversational data on digital platforms necessitates effective automatic summarization methods. This study investigates the use of a pre-trained BART (Bidirectional and Auto-Regressive Transformers) model for abstractive dialogue summarization on the DialogSum dataset, whic...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Desty Rodiah, Hanif Syahri Ramadhani
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Ikatan Ahli Informatika Indonesia 2026-06-01
Schriftenreihe:	Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Schlagworte:	abstractive summarization bart dialogue natural language processing sequence-to-sequence
Online-Zugang:	https://jurnal.iaii.or.id/index.php/RESTI/article/view/7488
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