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I am currently trying to extract from texts some sentences/groups of words that mean "there was an anomaly on this satellite at this date regarding this equipment" using rasa_nlu.

I have thought to intent detection because I had already used wit.ai and recast.ai for chatbots and I thought that trying to extract this kind of thing from a text could be like talking to a bot with the text and waiting for him to detect the "anomaly" intent.

However, this means that I have only one intent in my model and rasa doesn't seem to work thus for intent detection (it does good named-entity recognition but 0 intent detection).

Is there another way to extract what I want to extract using rasa or any other tool ?

Thank you in advance

Antoine

Antoine Deleuze
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    That's a classification problem – Yasen Jul 18 '18 at 07:34
  • @Yasen I agree but there are obstacles to text classification in my context: -all my data are in PDF files and it is not always possible to extract sentences -some sentences deal with the causes of an anomaly or the fact that there has been no anomaly on a subsystem of a satellite and will be wrongly classified because of their vocabulary. – Antoine Deleuze Jul 18 '18 at 08:49

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