论文标题
Winograd模式挑战数据集和方法的综述
A Review of Winograd Schema Challenge Datasets and Approaches
论文作者
论文摘要
Winograd模式挑战既是普遍性的推理，也是自然语言理解挑战，作为图灵测试的替代方案。 Winograd模式是一对句子，在一个或两个单词上有不同的句子，具有高度模棱两可的代词，在这两个句子中以不同的方式解决，似乎需要常识知识才能正确解决。这些示例的设计目的是可容易被人类解决，但对于机器来说很难解决，原则上需要深入了解文本的内容及其描述的情况。本文回顾了自推出以来已经发布的现有Winograd模式挑战基准数据集和方法。
The Winograd Schema Challenge is both a commonsense reasoning and natural language understanding challenge, introduced as an alternative to the Turing test. A Winograd schema is a pair of sentences differing in one or two words with a highly ambiguous pronoun, resolved differently in the two sentences, that appears to require commonsense knowledge to be resolved correctly. The examples were designed to be easily solvable by humans but difficult for machines, in principle requiring a deep understanding of the content of the text and the situation it describes. This paper reviews existing Winograd Schema Challenge benchmark datasets and approaches that have been published since its introduction.
