A BART-based approach with hierarchical strategy for Vietnamese abstractive multi-document summarization
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Computer Science > Computation and Language
Title:A BART-based approach with hierarchical strategy for Vietnamese abstractive multi-document summarization
Abstract:In this technical report, we focus on solving the challenge of Vietnamese multi-document abstractive summarization, introduced in the International Workshop on Vietnamese Language and Speech Processing (VLSP) 2022. We choose to follow the popular hierarchical approach, i.e. condensing each document followed by aggregation and summarization. We propose a novel yet simple strategy to shorten documents that is driven by the golden summary, thus ensuring high correlation between stages of the hierarchical approach. Our method achieves a ROUGE2-F1 score of 0.2468 on the VLSP's public test set, and can produce fluent and concise summaries. Additionally, we utilize external sources for extra data, which greatly enhances the quantity of data for Vietnamese multi-document summarization. The additional data is made available for the community.
| Comments: | originally written in 2022 |
| Subjects: | Computation and Language (cs.CL); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2606.19591 [cs.CL] |
| (or arXiv:2606.19591v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2606.19591
arXiv-issued DOI via DataCite (pending registration)
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