Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem
Table 5: Solution accuracy comparison on MAWPS
['[BOLD] Methods Oracle', '[BOLD] Methods Oracle', '[BOLD] MAWPS 84.8']
Results. To the best of our knowledge, we make the first attempt to employ the graph neural network for solving Math Word Problems, and our Graph2Tree model with constituency graph achieves the best performance so far on this MAWPS benchmark.