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SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning. (arXiv:2209.05040v5 [cs.CL] UPDATED)
Oct. 6, 2022, 1:16 a.m. | Wei Han, Hui Chen, Zhen Hai, Soujanya Poria, Lidong Bing
cs.CL updates on arXiv.org arxiv.org
With the boom of e-commerce, Multimodal Review Helpfulness Prediction (MRHP),
which aims to sort product reviews according to the predicted helpfulness
scores has become a research hotspot. Previous work on this task focuses on
attention-based modality fusion, information integration, and relation
modeling, which primarily exposes the following drawbacks: 1) the model may
fail to capture the really essential information due to its indiscriminate
attention formulation; 2) lack appropriate modeling methods that take full
advantage of correlation among provided data. In …
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