We model product reviews to generate comparative responses consisting of positive and negative experiences regarding the product. Specifically, we generate a single-sentence, comparative response from a given positive and a negative opinion. We contribute the first dataset for this task of Comparative Snippet Generation from contrasting opinions regarding a product, and a performance analysis of a pre-trained BERT model to generate such snippets.

翻译：我们模拟产品审查,以产生比较反应,包括产品方面的正面和负面经验。具体地说,我们从特定正面和负面意见中产生了单一的判断、比较反应。我们为比较片段一代的任务贡献了第一个数据集,这些数据来自对产品的不同看法,以及对预先培训的BERT模型的绩效分析,以产生这种片段。