Improving Semantic Parsing for Task Oriented Dialog
Table 2: Gains from ELMo embeddings.
['Ensembling Strategy', 'Accuracy']
We also report the oracle ensemble parser which always picks the correct parser whenever possible in order to determine the upper bound for ensembling gains. For the rest of the paper, we use seven parsers for the ensemble model. On the other hand, all the methods fall short of the oracle parser which suggests that there might still be room for improving the ensemble parser. The first and last layer weights result in the biggest and smallest gains, respectively. A justification for the first layer’s better performance on our task can be that the parser needs to identify syntactic properties (e.g., opening the non-terminal right after prepositions) to produce correct parses.