26 citations · 26 across the 2 of their papers we have counts for
4 papers
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…
Few-Shot Learning for Opinion Summarization
Arthur Bražinskas, Mirella Lapata, Ivan Titov
Opinion summarization is the automatic creation of text reflecting subjective information expressed in multiple documents, such as user reviews of a product. The task is practicall…
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…
Embedding Words as Distributions with a Bayesian Skip-gram Model
Arthur Bražinskas, Serhii Havrylov, Ivan Titov
We introduce a method for embedding words as probability densities in a low-dimensional space. Rather than assuming that a word embedding is fixed across the entire text collection…