from pKeicho I want to ngkw the chain target word during 🤔 chain question generation.

  • Not possible at this time.
  • This is because the chain question was implemented with state transitions
  • Just express it in terms of up or down selection probability.

Fix the test case first

  • Right now I’m just observing the change in status.

status quo

  • If I ask Q1 questions about a particular keyword K, then I want to ask Q2 and Q3 questions about K.”
  • This was represented by state transitions.
    • When processing the response to Q1, “If the previous question was Q1, transition to S2.”
    • Only Q2 in S2.
    • Q2 uses keywords used in the immediately preceding question
    • It was achieved in a tricky way: a question that apparently takes a single keyword, but does not take a keyword in its implementation.
  • This would lead to a fixed conversation flow, even if you ng after that flow has started.
    • Even if the target keyword disappears in NGKW, it’s still a “question that doesn’t take keywords” so it’s relentless.
  • I want to replace the score variation
    • Q2 increases the score when the immediately preceding question is Q1
    • Change the question to a keyword taking question.
      • Score increases when keywords match those used in the previous question

done: b4ed166473fee9b4b1ecbc2cb439d7102f5831cb

  • I was going to link to GitHub, but the repository was Heroku.

point of concern

  • Right now I’m returning a score of 1000, as appropriate.
  • When there is a return proposal with a score over 1000, that takes precedence. - Maximum score reply
    • Sometimes it goes over 1000.
    • →The ✅ chain question is not connected.
  • When the score reduction by NG is multiplied, the keyword itself is still alive, so it continues with a score of 1000.
    • This is behavior contrary to user expectations.
      • I decided to use NG pressure just before ✅ to reduce the score.
      • This looks good because the score is 0 when 100% NG pressure is applied.

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