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Recently, I've tried a kind of interactive expert system by using ccg2lambda. If we input some premises and a goal, the system produce some subgoals, and I want to transform that subgoals to readable sentences for human, and then have tried to prove it interactively.

github.com/mynlp/ccg2lambda

Originally it was a system presented at an event called NLP2021, but the source code is not yet available, so I am trying to reproduce it personally.

anlp.jp/proceedings/annual_mee

@swan314 Many years ago there existed a system called Proverb, which was very good at
putting together a verbalisation independent on what the actual proof format was (ND, Resolution, etc...).
At least they di extremely well on the Dreadsbury Mansion Problem. Let me see if I can find a reference somewhere.

@zorkow Thank you for letting me know. I will refer to it.

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