Description
Authors: Bill Yuchen Lin, Wangchunshu Zhou, Ming Shen, Pei Zhou, Chandra Bhagavatula, Yejin Choi and Xiang Ren
Summary
- Building machines with commonsense to compose realistically plausible sentences is challenging.
- CommonGen is a constrained text generation task, associated with a benchmark dataset, to explicitly test machines for the ability of generative commonsense reasoning.
- We can see that for this particular real example in our dataset, we need know a list of facts and find the best composition of them for writing the sentence “A woman in a gym exercises by waving ropes tied to a wall.” The model has never seen the concept pear in the training, or the combinations of any two of them.