user_query: Temperature in Paris today fahrenheit
tree_str_mr: [__DG_INFORM__ [__ARG_TASK__ get_forecast ] [__ARG_TEMP_LOW__ 52 ] [__ARG_TEMP_HIGH__ 66 ] [__ARG_TEMP_UNIT__ fahrenheit ] [__ARG_DATE_TIME__ [__ARG_COLLOQUIAL__ today ] ] [__ARG_LOCATION__ [__ARG_CITY__ Paris ] [__ARG_COUNTRY__ France ] ] ]
response: [__DG_INFORM__ The high [__ARG_DATE_TIME__ [__ARG_COLLOQUIAL__ today ] ] [__ARG_LOCATION__ in [__ARG_CITY__ __ARG_CITY__ ] , [__ARG_COUNTRY__ __ARG_COUNTRY__ ] ] will be [__ARG_TEMP_HIGH__ __ARG_TEMP_HIGH__ ] , and the low will be [__ARG_TEMP_LOW__ __ARG_TEMP_LOW__ ] degrees [__ARG_TEMP_UNIT__ __ARG_TEMP_UNIT__ ] ]
target: [__DG_INFORM__ The high [__ARG_DATE_TIME__ [__ARG_COLLOQUIAL__ today ] ] [__ARG_LOCATION__ in [__ARG_CITY__ __ARG_CITY__ ] , [__ARG_COUNTRY__ __ARG_COUNTRY__ ] ] will be [__ARG_TEMP_HIGH__ __ARG_TEMP_HIGH__ ] , and the low will be [__ARG_TEMP_LOW__ __ARG_TEMP_LOW__ ] degrees [__ARG_TEMP_UNIT__ __ARG_TEMP_UNIT__ ] ]
references: [__DG_INFORM__ The high [__ARG_DATE_TIME__ [__ARG_COLLOQUIAL__ today ] ] [__ARG_LOCATION__ in [__ARG_CITY__ __ARG_CITY__ ] , [__ARG_COUNTRY__ __ARG_COUNTRY__ ] ] will be [__ARG_TEMP_HIGH__ __ARG_TEMP_HIGH__ ] , and the low will be [__ARG_TEMP_LOW__ __ARG_TEMP_LOW__ ] degrees [__ARG_TEMP_UNIT__ __ARG_TEMP_UNIT__ ] ]