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I confront to the next scenario:

Let's say I have stored data about football matches between different teams: lineups, scorers, yellow cards, and many other events.

I need to generate everyday some questions about the matches that will be played on that day. So, if I give an input of two teams, I would like a related question to be generated, based on previous data of matches between those two teams.

For example, if my input are "TeamA" and "TeamB", I would expect a question of the type:

  • "Will there be less than 2 goals scored in the match?""

  • "Will PlayerX score a goal during the match?"

Of course I expect these questions to make sense based on previous data from matches between the two given teams.

So, my questions are:

  • Would be a good solution to use AI to generate these questions? It would make sense?
  • What would be the best approach?

1 Answers1

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One simple approach to consider would be storing each statement as a template made in advance.

  • Will there be less/more than x goals scored in the match?

  • Will player score a goal during the match?

  • ...

The system will pick a random statement and will fill the variable fields with some statistically generated data between teamA and teamB; here you have your question.


Example: Will there be less/more than x goals scored in the match?

  • less/more fragment may be random
  • x may be the mean of the goals scored considering all the matches between teamA and teamB

Example: Will player score a goal during the match?

  • player may be a random choice between the top-goalscorer of teamA or teamB