Leveraging Frequent Query Substructures to Generate Formal Queries for Complex Question Answering
Table 5: Accuracy of query substructure prediction
['[EMPTY]', 'LC-QuAD', 'QALD-5']
By removing the attention mechanism (replaced by unweighted average), the accuracy declined approximately 3%. Adding additional part of speech tag sequence of the input question gained no significant improvement. We also tried to replace the attention based BiLSTM with the network in Yih et al. This approach did not perform well since it cannot capture long-term dependencies.