My bot guides learners to write their essays. Now we have troubles of getting the bot to match the right utterances. For example, when a learner clicks/activates the intent “thesis”, the bot will not move forward to
utter_def_thesis. Instead, the bot will go to the end,
utter_other_help, “Do you need other help?”
Because of the complexities of our story structure, we’ve made sure that the path has defined well in the story like below:
## general thesis beginning *greet -utter_greet *thesis -utter_def_thesis ## general arg beginning *greet -utter_greet *arg -utter_def_arg ## thesis path *thesis -utter_def_thesis *confirm - utter_thesis *confirm - utter_other_help ##argument path *arg -utter_def_arg *confirm -utter_arg *confirm -utter_other_help ## other_help_path *confirm - utter_other_help * confirm - utter_greet
Will this method of writing story works?
I’ve consulted other people’s posts. It’s my impression that we need to generate all possible stories to our best attempts. But given the complexities of our bot, this will not be possible. I’ve read Keras policies. Is there a way for us to configure Keras policies or NLU pipelines to make our method work, so that we don’t need to drain our brain to write a lot of long stories? The photo is conceptual design.