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rasa-nlu-benchmark's Issues

Misaligned entities

When I try to train the dataset ATIS, I get warnings like this

 UserWarning: Misaligned entity annotation in message 'phoenixto denver' with intent 'flight'. Make sure the start and end values of entities in the training data match the token boundaries (e.g. entities don't include trailing whitespaces or punctuation).
  More info at https://rasa.com/docs/rasa/nlu/training-data-format/

there are punctuations in the entites. Does this warning mean these entites will be ignored or is it just a warning and rasa takes care of it.
Do i need to write a scrit to fix this misaligend entities?

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