Characterizing Variation in Crowd-Sourced Data for Training Neural Language Generators to Produce Stylistically Varied Outputs
Table 3: Average number of sentences in the reference utterance for a given number of slots in the corresponding MR, along with the proportion of MRs with specific slot counts.
['[BOLD] Slots', '3', '4', '5', '6', '7', '8']
The dataset contains 8 different slot types, which are fairly equally distributed in the dataset. Each MR comprises 3 to 8 slots, whereas the majority of MRs consist of 5 and 6 slots.