SlowGuess/ACL_2020_OCR huggingface dataset:
Table 12: An example of E2E dataset and predictions generated by the baseline model Decoupled and the proposed model JUG<sub>semi</sub>. x and y denotes natural language and the corresponding semantic representation. Errors are highlighted following predictions.
Reference of example
x: "it's going to be __arg_temp__ and __arg-cloud_coverage__
__arg_colloquial__ between __arg_start_time__ and __arg_end_time__ "
y: [[dg inform] [arg_task__ get_forecast] [arg_temp__ arg_temp]
[arg-cloud_coverage__ arg-cloud_coverage]
[arg_date_time_range] [arg_start_time__ arg_start_time]
[arg_end_time__ arg_end_time] [arg_colloquial__ arg_colloquial]]
Prediction by Decoupled model
x: "it will be __arg_temp__ degrees and __arg-cloud_coverage__ from
__arg_start_time__ to __arg_end_time"
y: [[dg inform] [arg_task__ get_forecast] [arg_temp__ arg_temp] [arg-cloud_coverage__
__arg-cloud_coverage] [arg_date_time] [arg_colloquial__ arg_colloquial]]
[dg inform] [arg_task__ get_forecast] [arg_temp__ arg_temp] [arg-cloud_coverage__
__arg-cloud_coverage] [arg_date_time_range] [arg_start_time__ arg_start_time]
[arg_end_time__ arg_end_time] ] (not match)
Prediction by JUG_semi model
x: "the temperature will be around __arg_temp__ degrees
__arg_colloquial__ between __arg_start_time__ and __arg_end_time"
y: [[dg inform] [arg_task__ get_forecast] [arg_temp__ arg_temp]
[arg-cloud_coverage__ arg-cloud_coverage]
[arg_date_time_range] [arg_start_time__ arg_start_time]
[arg_end_time__ arg_end_time] [arg_colloquial__ arg_colloquial]] ] (exact match)
Table 13: An example of weather dataset and predictions generated by the baseline model Decoupled and the proposed model JUGsemi.  $x$  and  $y$  denotes natural language and the corresponding semantic representation. NLU result are highlighted following predictions.