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Is There a Way to Generate Commonsense Reasoning Knowledge?
One of the issues with working on teaching machines common sense reasoning is that we need some way to acquire this knowledge and do so in a machine readable forma. In the past, more common to either collectit from people or to extract it from from text. And then there is also this possibility of extracting this knowledge from language models. But they're limited because e they don't completely overcome reporting by us. We had a paper recently in halling in which we show that even though they are good at giving a signing a non zero probability to events that may not have been mentioned allot ing the corpus, they tend to amplify the more exceptional or sensational outcomes.