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MARS: Multilingual Aspect-centric Review Summarisation

arXiv 2410.09991 ↗First posted 13 Oct 2024cs.CLcited by 0

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Abstract (arXiv)

Summarizing customer feedback to provide actionable insights for products/services at scale is an important problem for businesses across industries. Lately, the review volumes are increasing across regions and languages, therefore the challenge of aggregating and understanding customer sentiment across multiple languages becomes increasingly vital. In this paper, we propose a novel framework involving a two-step paradigm textitExtract-then-Summarise, namely MARS to revolutionise traditions and address the domain agnostic aspect-level multilingual review summarisation. Extensive automatic and human evaluation shows that our approach brings substantial improvements over abstractive baselines and efficiency to real-time systems.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 43 of its 81 references that are in the map. First posted on arXiv 13 Oct 2024.

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43 of 81 references.

References · 43

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31 more
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