Machine Reading Comprehension and Russian Language, Pavel Efimov

Abstract: First, I will briefly survey machine reading comprehension (RC) and its flavors, as well as methods and datasets used to leverage the task. Then I will focus on RC datasets for non-English languages.
I will pay special attention to Russian RC dataset — Sberbank Question Answering Dataset (SberQuAD). SberQuAD has been widely used since its inception in 2017, but it hasn't been described and analyzed properly in the literature until recently. In my presentation, I will provide a thorough analysis of SberQuAD and report several baselines.

Pavel Efimov earned his Master degree in Computer Science at Saint Petersburg State University. Now he is a PhD student at ITMO University. His research interests include question answering, multilingual learning, and learning with limited labelled data.

------
Computational Pragmatics lab is part of CS Faculty at HSE, Moscow. We work in NLP and RecSys domains.

#squad #machinereadingcomprehension #datastes #SberQuAD #naturallanguage processing