Review summarization is a non-trivial task that aims to summarize the main idea of the product review in the E-commerce website. Different from the document summary which only needs to focus on the main facts described in the document, review summarization should not only summarize the main aspects mentioned in the review but also reflect the personal style of the review author. Although existing review summarization methods have incorporated the historical reviews of both customer and product, they usually simply concatenate and indiscriminately model this two heterogeneous information into a long sequence. Moreover, the rating information can also provide a high-level abstraction of customer preference, it has not been used by the majority of methods. In this paper, we propose the Heterogeneous Historical Review aware Review Summarization Model (HHRRS) which separately models the two types of historical reviews with the rating information by a graph reasoning module with a contrastive loss. We employ a multi-task framework that conducts the review sentiment classification and summarization jointly. Extensive experiments on four benchmark datasets demonstrate the superiority of HHRRS on both tasks.
翻译:审评总结是一项非三重性的任务,旨在总结电子商务网站产品审评的主要理念; 与文件摘要不同,该文件摘要仅需要侧重于文件中描述的主要事实; 审评总结不仅应当概述审查中提及的主要方面,而且还应当反映审查作者的个人风格; 虽然现有的审评总结方法已经纳入了对客户和产品的历史审查,但通常只是将这两种不同信息混为一谈,不加区分地将这两种信息分为一个很长的顺序; 此外,评级信息还可以提供高层次的客户偏好抽象,但大多数方法都没有使用这一信息; 在本文件中,我们建议采用超异性历史审查认知总结模式,该模式将两种类型的历史审查与通过带有对比损失的图表推理模块的评级信息分别建模; 我们采用多任务框架,共同审查情绪分类和总结。