| Challenge: | Existing semantic parsing tools only allow for natural language interactions, but the graphical interface could be improved significantly. |
| Approach: | They propose a semantic parsing setting that allows users to query the system using both natural language questions and actions within a graphical user interface. |
| Outcome: | The proposed architecture outperforms standard sequence generation baselines and achieves sequence-level accuracy of 88.7% on artificial data and 74.8% on real data. |
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