Various methods have been proposed to automatically parse AMRs, ranging from syntax-based approaches (e.g. Flanigan et al. (2014) ; Wang et al. (2015) ; Pust et al. (2015) ; Damonte et al. (2017) ) to the more recent neural approaches (Peng et al. (2017) ; Buys and Blunsom (2017) ; Konstas et al. (2017) ; Foland and Martin (2017);<cite> van Noord and Bos (2017)</cite> ). Especially the neural approaches are interesting, since they all use some sort of linearization method and therefore need a predefined way to handle reentrancy.