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New BART-based strategy enhances Vietnamese multi-document summarization

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a new hierarchical strategy using the BART model to improve abstractive multi-document summarization for Vietnamese text. This approach condenses individual documents before aggregating and summarizing them, with a novel method that uses the golden summary to guide document shortening. The technique achieved a ROUGE2-F1 score of 0.2468 on the VLSP 2022 test set and has made additional training data available to the community. AI

IMPACT This research offers a novel approach to abstractive summarization for low-resource languages, potentially improving information access.

RANK_REASON The cluster contains an academic paper detailing a new methodology for a specific NLP task.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New BART-based strategy enhances Vietnamese multi-document summarization

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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Vu Nguyen Nguyen Xuan, Huy Ngo Quang ·

    A BART-based approach with hierarchical strategy for Vietnamese abstractive multi-document summarization

    arXiv:2606.19591v1 Announce Type: cross 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 fo…

  2. arXiv cs.CL TIER_1 English(EN) · Huy Ngo Quang ·

    A BART-based approach with hierarchical strategy for Vietnamese abstractive multi-document summarization

    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. conde…

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