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Is it possible to train directly on actual data?


Can API.ai/ RASA NLU be integrated with Tensorflow to make a chatbotWhat is the difference between rasa core and botkit framework in terms of flow of conversationautomatically generating intent and entity from a complete sentenceRasa-core, dealing with datesNLP - multiple intents for modifying an intent of a sentence?Rasa NLU - Understanding Training DataRasa NLU: Confidence Score ComputationRASA entity is not detecting synonyms after trainingIs Rasa-core train on actual dialog data behind the scene?What does using or not using RASA core imply?






.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;








0















For example, if I want to develop a chitchat bot, and I already have a corpus with dialog like the following:



-- Are you a student?
-- No, I am a scientist.
...


Can I train a model directly on this data without going through the regular NLU and Core processes, such as create the NLU data and stories data? In chitchat, it's hard to define the intent, if my corpus is a little large. There can be potentially too many intents. So it seems not to be good to use intent-slot-dm flow to develop the model?



Does RASA provide a way to directly train on the data?










share|improve this question




























    0















    For example, if I want to develop a chitchat bot, and I already have a corpus with dialog like the following:



    -- Are you a student?
    -- No, I am a scientist.
    ...


    Can I train a model directly on this data without going through the regular NLU and Core processes, such as create the NLU data and stories data? In chitchat, it's hard to define the intent, if my corpus is a little large. There can be potentially too many intents. So it seems not to be good to use intent-slot-dm flow to develop the model?



    Does RASA provide a way to directly train on the data?










    share|improve this question
























      0












      0








      0








      For example, if I want to develop a chitchat bot, and I already have a corpus with dialog like the following:



      -- Are you a student?
      -- No, I am a scientist.
      ...


      Can I train a model directly on this data without going through the regular NLU and Core processes, such as create the NLU data and stories data? In chitchat, it's hard to define the intent, if my corpus is a little large. There can be potentially too many intents. So it seems not to be good to use intent-slot-dm flow to develop the model?



      Does RASA provide a way to directly train on the data?










      share|improve this question














      For example, if I want to develop a chitchat bot, and I already have a corpus with dialog like the following:



      -- Are you a student?
      -- No, I am a scientist.
      ...


      Can I train a model directly on this data without going through the regular NLU and Core processes, such as create the NLU data and stories data? In chitchat, it's hard to define the intent, if my corpus is a little large. There can be potentially too many intents. So it seems not to be good to use intent-slot-dm flow to develop the model?



      Does RASA provide a way to directly train on the data?







      rasa-nlu rasa-core






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Mar 20 at 7:45









      marlonmarlon

      4057 silver badges21 bronze badges




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          This is currently not possible with the Rasa Stack.
          If you model goal oriented use cases, this should be not a big problem. However, for chitchat this can indeed be a bit tricky. Try to see whether you can break down the most frequent chitchat messages in intents, and then handle them in stories.






          share|improve this answer






















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            This is currently not possible with the Rasa Stack.
            If you model goal oriented use cases, this should be not a big problem. However, for chitchat this can indeed be a bit tricky. Try to see whether you can break down the most frequent chitchat messages in intents, and then handle them in stories.






            share|improve this answer



























              0














              This is currently not possible with the Rasa Stack.
              If you model goal oriented use cases, this should be not a big problem. However, for chitchat this can indeed be a bit tricky. Try to see whether you can break down the most frequent chitchat messages in intents, and then handle them in stories.






              share|improve this answer

























                0












                0








                0







                This is currently not possible with the Rasa Stack.
                If you model goal oriented use cases, this should be not a big problem. However, for chitchat this can indeed be a bit tricky. Try to see whether you can break down the most frequent chitchat messages in intents, and then handle them in stories.






                share|improve this answer













                This is currently not possible with the Rasa Stack.
                If you model goal oriented use cases, this should be not a big problem. However, for chitchat this can indeed be a bit tricky. Try to see whether you can break down the most frequent chitchat messages in intents, and then handle them in stories.







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Mar 25 at 12:26









                TobiasTobias

                8185 silver badges13 bronze badges




                8185 silver badges13 bronze badges


















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