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WinoGrande: An Adversarial Winograd Schema Challenge at Scale

We introduce WinoGrande, a large-scale dataset of 44k problems, inspired by the original Winograd Schema Challenge, but adjusted to improve both the scale and the... Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
From Communications of the ACM | September 2021

From Communications of the ACM

Learning to Name Objects

This paper looks at the problem of predicting category labels that mimic how human observers would name objects. Vicente Ordonez, Wei Liu, Jia Deng, Yejin Choi, Alexander C. Berg, Tamara L. Berg
From Communications of the ACM | March 2016