Sequence-to-Action: End-to-End Semantic Graph Generation for Semantic Parsing
Table 4: Average length of logical forms and action sequences on three datasets. On Overnight, we average across all eight domains.
['[EMPTY]', 'Logical Form', 'Action Sequence']
Linearized Logical Form vs. Action Sequence. As we can see, action sequence encoding is more compact than linearized logical form encoding: action sequence is shorter on all three datasets, 35.5%, 9.2% and 28.5% reduction in length respectively. The main advantage of a shorter/compact encoding is that it will reduce the influence of long distance dependency problem.