  This paper describes our approach to the CRAC 2022 Shared Task on
Multilingual Coreference Resolution. Our model is based on a state-of-the-art
end-to-end coreference resolution system. Apart from joined multilingual
training, we improved our results with mention head prediction. We also tried
to integrate dependency information into our model. Our system ended up in
$3^{rd}$ place. Moreover, we reached the best performance on two datasets out
of 13.
