  This paper describes our system submitted to SemEval 2019 Task 7: RumourEval
2019: Determining Rumour Veracity and Support for Rumours, Subtask A (Gorrell
et al., 2019). The challenge focused on classifying whether posts from Twitter
and Reddit support, deny, query, or comment a hidden rumour, truthfulness of
which is the topic of an underlying discussion thread. We formulate the problem
as a stance classification, determining the rumour stance of a post with
respect to the previous thread post and the source thread post. The recent BERT
architecture was employed to build an end-to-end system which has reached the
F1 score of 61.67% on the provided test data. It finished at the 2nd place in
the competition, without any hand-crafted features, only 0.2% behind the
winner.
