Learning Interpretable Spatial Operations in a Rich 3D Blocks World
Table 3: A comparison of our interpretable model with previous results (top) in addition to our performance on our new corpus (v2). Finally, we show how training jointly on both corpora has only a very moderate effect on performance, indicating the complementarity of the data. Target values are error measurements in block-lengths (lower is better).
['[EMPTY]', 'Source', 'Target Gold Source', 'Target Gold Source', 'Target End-to-End', 'Target End-to-End']
While our primary goal was the creation of an interpretable model and the introduction of new spatial and linguistic phenomena, it is important to see that our model also performs well. We note three important results: