Comparative Analysis of Pretrained Encoder-Decoder Transformer Models for Extreme Text Summarization

Text summarization plays a pivotal role in condensing crucial information from huge volumes of text. This study investigates the utilization of pre-trained transformer models within the domain of text summarization, with a specific emphasis on extreme summarization. It delves into the effectiveness...

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Veröffentlicht in:	2023 Second International Conference on Advances in Computational Intelligence and Communication (ICACIC) S. 1 - 6
Hauptverfasser:	RajyaLakshmi, Tamma, Kuppusamy, K.S.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 07.12.2023
Schlagworte:	Analytical models BART Computational intelligence Computational modeling Extreme text summarization Pretrained transformer models Task analysis Transformers
Online-Zugang:	Volltext
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