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cs.CL2021
Learning Opinion Summarizers by Selecting Informative Reviews
Arthur Bražinskas, Mirella Lapata, Ivan Titov
Opinion summarization has been traditionally approached with unsupervised, weakly-supervised and few-shot learning techniques. In this work, we collect a large dataset of summaries…
cs.CL2019
Unsupervised Opinion Summarization as Copycat-Review Generation
Arthur Bražinskas, Mirella Lapata, Ivan Titov
Opinion summarization is the task of automatically creating summaries that reflect subjective information expressed in multiple documents, such as product reviews. While the majori…