v5.2.0

Features

• Return unknown slots as raw values
  • If the NLU model tags a slot not associated with the predicted intent, that slot's value will be returned as a String in the NLUResult's slot map instead of causing an error.
• Support new slot features
  • Newer models include intent-level implicit slots and a capture_name field that changes the slot's return name; these are now supported by the client library.

Fixes

• Allow slot tags to be discontinuous
  • Separate spans of "b_slot_name" tags will now be concatenated instead of dropping all tokens but the last one
• Trim punctuation for slot value extraction
  • Slots recognized at the end of an input string that contains punctuation will no longer cause an error. As a consequence, both leading and trailing punctuation are removed from the slot value before parsing, so such punctuation is invalid in training data for the slot values.