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Exploring Multitask Learning for Low-Resource AbstractiveSummarization
This paper explores the effect of using multitask learning for abstractive summarization in the
context of small training corpora. In particular, we incorporate four different tasks (extractive …
context of small training corpora. In particular, we incorporate four different tasks (extractive …
Intelligent abstractive text summarization using hybrid Word2Vec and Swin transformer for long documents
G Mishra, N Sethi, L Agilandeeswari - International Journal of …, 2023 - cspub-ijcisim.org
In this paper, a novel hybrid Swin-T transformer based automatic text summarization model
is proposed for both short and long documents. It involves various phases namely data …
is proposed for both short and long documents. It involves various phases namely data …
Multilingual Financial Text Summarisation
N Zmandar - 2024 - search.proquest.com
With the increasing growth in the number of public firms worldwide, the volume of financial
disclosures and financial texts in different languages and forms is increasing sharply; …
disclosures and financial texts in different languages and forms is increasing sharply; …
Techniques To Enhance Abstractive Summarization Model Training for Low Resource Domains
A Magooda - 2022 - search.proquest.com
Nowadays, the amount of information is growing exponentially, and it is challenging to
digest even the information for a particular topic. Summarization can reduce the information …
digest even the information for a particular topic. Summarization can reduce the information …