My name is Arthur Bražinskas (pronounced Bra [zh] inskas), I’m a natural language processing and machine learning Ph.D. researcher focusing on application of deep generative models to text summarization. I’m part of the ILCC group at the University of Edinburgh, and supervised by Ivan Titov and Mirella Lapata.

I work in settings where production of large amounts of summaries for deep models training is overly expensive. And thus, the focus is on solutions that require either no or very modest amounts of annotated data, i.e., unsupervised and semi-supervised, respectively.

I graduated (MSc. w distinction) in artificial intelligence from the University of Amsterdam, Netherlands, where I specialised in theoretical machine learning and natural language processing. Before joining ILCC I worked on machine learning modelling at Elsevier, Amazon, and Zalando.

Few-Shot Learning for Opinion Summarization
Arthur Bražinskas, Mirella Lapata, Ivan Titov In EMNLP 2020
Unsupervised Opinion Summarization as Copycat-Review Generation
Arthur Bražinskas, Mirella Lapata, Ivan Titov In ACL 2020
Embedding Words as Distributions with a Bayesian Skip-gram Model
Arthur Bražinskas, Serhii Havrylov, Ivan Titov In COLING 2018