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Efficient Few-Shot Fine-Tuning for Opinion Summarization
Arthur Bražinskas, Ramesh Nallapati, Mohit Bansal, Markus Dreyer In NAACL 2022
ArXiv
GitHub
Slides
Learning Opinion Summarizers by Selecting Informative Reviews
Arthur Bražinskas, Mirella Lapata, Ivan Titov In EMNLP 2021
ArXiv
GitHub
Slides
Transductive Learning for Abstractive News Summarization
Arthur Bražinskas, Mengwen Liu, Ramesh Nallapati, Sujith Ravi, Markus Dreyer In ArXiv 2021
ArXiv
Few-Shot Learning for Opinion Summarization
Arthur Bražinskas, Mirella Lapata, Ivan Titov In EMNLP 2020
ArXiv
GitHub
Slides
Unsupervised Opinion Summarization as Copycat-Review Generation
Arthur Bražinskas, Mirella Lapata, Ivan Titov In ACL 2020
ArXiv
GitHub
Slides
Embedding Words as Distributions with a Bayesian Skip-gram Model
Arthur Bražinskas, Serhii Havrylov, Ivan Titov In COLING 2018
ArXiv
GitHub
Slides