Large Scale Abstractive Multi-Review Summarization (LSARS) via Aspect Alignment

Rongqin Yang
Rongqin Yang
Xin Zhou
Xin Zhou

SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval Virtual Event China July, 2020, pp. 2337-2346, 2020.

Cited by: 0|Bibtex|Views87|DOI:https://doi.org/10.1145/3397271.3401439
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Other Links: dl.acm.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

In an active e-commerce environment, customers process a large number of reviews when deciding on whether to buy a product or not. Abstractive Multi-Review Summarization aims to assist users to efficiently consume the reviews that are the most relevant to them. We propose the first large-scale abstractive multi-review summarization datase...More

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