In this work, we propose a simple method to learn the distributed representations for output structured semantic representations which allow us to capture cross-lingual features.
following previous work (Wong and Mooney, 2006;Jones et al., 2012; Susanto and Lu, 2017b), we adopt a commonly used tree-shaped form as the underlying meaning representation where each tree node is a semantic unit.