Feb. 20, 2024, 5:51 a.m. | Tohida Rehman, Raghubir Bose, Soumik Dey, Samiran Chattopadhyay

cs.CL updates on arXiv.org arxiv.org

arXiv:2402.11955v1 Announce Type: new
Abstract: This paper explores the realm of abstractive text summarization through the lens of the SEASON (Salience Allocation as Guidance for Abstractive SummarizatiON) technique, a model designed to enhance summarization by leveraging salience allocation techniques. The study evaluates SEASON's efficacy by comparing it with prominent models like BART, PEGASUS, and ProphetNet, all fine-tuned for various text summarization tasks. The assessment is conducted using diverse datasets including CNN/Dailymail, SAMSum, and Financial-news based Event-Driven Trading (EDT), with a …

abstract analysis arxiv bart cs.ai cs.cl guidance paper study summarization text text summarization through type

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