A dataset for resolving referring expressions in spoken dialogue via contextual query rewrites (CQR)
Table 8: Comparing original dialogue vs gold reformulations (Gold CQR) on two tasks domain classification and slot-filling. Domain classification accuracy between the original dataset and the reformulated query is similar. Slot-filling accuracy for reformulated query is higher than that for the original dataset.
['Input Type', 'Domain Classification', 'Slot F1']
This suggests that query reformulation could lead to potentially better language understanding performance downstream as it is relatively easier to train and optimize NLU systems for single-shot utterances compared to multi-turn utterances.