International Journal For Multidisciplinary Research

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Faster (Multi) Document Summarization using PRIMERA & PEGASUS

Author(s) Charavi Patil, Naman Shrimal, Priyal Saini, Shreya D Kashid, Urjasvi Kurakula
Country India
Abstract Text summarization is super important when it comes to dealing with loads of information that's available on the internet and in archives. Trying to summarize all that stuff manually would be impossible because there's just so much of it. That's why automatic summarization techniques have become a big deal. These techniques basically condense documents by picking out the most important ideas. At first, people were mainly focused on summarizing individual documents, but now the latest research is all about summarizing groups of documents. In our study, we've come up with this cool new way to combine the Primera and Pegasus models. This combo not only improves the quality of the summaries, but it also speeds up the whole process. And guess what? We can even summarize multiple documents at the same time thanks to some batch processing techniques that make everything run smoother.
Keywords Text summarization, Automatic summarization, Extractive summarization, Abstractive summarization, Hybrid summarization, single-document summarization, Multi-document summarization, Natural Language Processing (NLP), Machine learning methods, Semantic representation, Sentence selection, Sentence scoring, Word frequency, Cross-domain summarization, Pretraining objectives.
Field Engineering
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-06-27
Cite This Faster (Multi) Document Summarization using PRIMERA & PEGASUS - Charavi Patil, Naman Shrimal, Priyal Saini, Shreya D Kashid, Urjasvi Kurakula - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.19938
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.19938
Short DOI https://doi.org/gt2456
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