The models of Flanigan et al. (2016) and<cite> Pourdamghani et al. (2016)</cite> were officially trained with 10,313 AMR-sentence pairs from the LDC2014T12 corpus, and with 36,521 AMR-sentence pairs from the LDC2016E25 in our study (as our models).