2 papers by CopeNLU authors are accepted to appear at ACL 2020. One paper is on explainable fact checking, providing the first study of how fact checking explanations can be generated automatically based on claim content, and how this task can be modelled jointly with veracity prediction; whereas the other one is on script conversion, proposing a novel Chinese character conversion model that can disambiguate between mappings and convert between Chinese scripts.