Papers with Sequence-to-sequence state-of-the-art systems
Diable: Efficient Dialogue State Tracking as Operations on Tables (2023.findings-acl)
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| Challenge: | Existing systems for dialogue state tracking use the full dialogue history as input and generate the entire state from scratch at each dialogue turn. |
| Approach: | They propose a task formalisation that represents the dialogue state as a table and formalises it as 'table manipulation task' they represent the dialogue as if it were a list with all the slots and generate the entire state from scratch at each dialogue turn. |
| Outcome: | The proposed system outperforms existing systems while maintaining competitive accuracy. |