Comparative Snippet Generation
This work addresses the need for automated comparative response generation in e-commerce, but it is incremental as it applies an existing method to a new dataset.
The paper tackled the problem of generating comparative snippets from product reviews by creating the first dataset for this task and evaluating a pre-trained BERT model's performance.
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.