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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.
* In Proceedings of The Fifth Workshop on e-Commerce and NLP (ECNLP
5), pages 49-57, Dublin, Ireland. Association for Computational Linguistics
(2022)
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