I see this system can take in a few statements and then apply reasoning in order to answer questions. Can we scale up this method to answer questions from Wikipedia pages, scientific papers and articles?
Maybe it could be used in conjunction with a chat bot that was trained with RL like AlphaGo (which used millions of human games as input data). People would say something or ask a question, then the net provide a bunch of answers and then people would rate the answers that are most human like, giving it a good/bad signal to use in training the RL part of the system. That would make the bot natural and human-like in conversation. Couple that with the reasoning part for answering questions and we get a reasoned/intelligent chat bot.
I'm wondering how far we are from being able to have normal conversations with bots - conversations that don't quickly get derailed or weird.
Maybe it could be used in conjunction with a chat bot that was trained with RL like AlphaGo (which used millions of human games as input data). People would say something or ask a question, then the net provide a bunch of answers and then people would rate the answers that are most human like, giving it a good/bad signal to use in training the RL part of the system. That would make the bot natural and human-like in conversation. Couple that with the reasoning part for answering questions and we get a reasoned/intelligent chat bot.
I'm wondering how far we are from being able to have normal conversations with bots - conversations that don't quickly get derailed or weird.