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Establishing a Human Baseline for the Winograd Schema Challenge

机译:为Winograd Schema挑战建立人类基线

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The Winograd Schema Challenge (WSC) is a pronoun resolution task for which deep semantic knowledge is required to achieve high performance. Until now it has been assumed that human performance on the WSC is nearly at ceiling, but evidence for this has been mainly anecdotal. Here we present the results of a large online experiment that both establishes a baseline for human performance on the WSC and demonstrates the importance of human testing, not only as a means of validating a particular corpus, but more fundamentally as a guide in defining desirable characteristics for Winograd Schemas (WS).
机译:Winograd Schema Challenge(WSC)是一个代词解析任务,需要深入的语义知识来实现高性能。 到目前为止,它已经假设人类在WSC上的人类表现几乎在天花板上,但这一直是轶事的证据。 在这里,我们展示了大型在线实验的结果,两者都在WSC上建立了人类性能的基线,并表明了人类测试的重要性,不仅是验证特定语料库的方法,而且根本作为定义所需特征的指导 对于Winograd Schemas(WS)。

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