Joint Learning of
Zuchao Li, Shexia He, Zhuosheng Zhang, Hai Zhao · Proceedings of the · 2018
This paper describes the system of team LeisureX in the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies.Our system predicts the part-of-speech tag and dependency tree jointly.For the basic tasks, including tokenization, lemmatization and morphology prediction, we employ the official baseline model (UDPipe).To train the low-resource languages, we adopt a sampling method based on other richresource languages.Our system achieves a macro-average of 68.31% LAS F1 score, with an improvement of 2.51% compared with the UDPipe.