Daniel Hershcovich author Miryam de Lhoneux author Artur Kulmizev author Elham Pejhan author Joakim Nivre author 2020-jul text Association for Computational Linguistics Online conference publication We present Køpsala, the Copenhagen-Uppsala system for the Enhanced Universal Dependencies Shared Task at IWPT 2020. Our system is a pipeline consisting of off-the-shelf models for everything but enhanced graph parsing, and for the latter, a transition-based graph parser adapted from Che et al. (2019). We train a single enhanced parser model per language, using gold sentence splitting and tokenization for training, and rely only on tokenized surface forms and multilingual BERT for encoding. While a bug introduced just before submission resulted in a severe drop in precision, its post-submission fix would bring us to 4th place in the official ranking, according to average ELAS. Our parser demonstrates that a unified pipeline is effective for both Meaning Representation Parsing and Enhanced Universal Dependencies. hershcovich-etal-2020-kopsala https://www.aclweb.org/anthology/2020.iwpt-1.25 2020-jul 236 244