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Chengyu Cloze Test

机译:Cheng与cl O则test

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摘要

We present a neural recommendation model for Chengyu, which is a special type of Chinese idiom. Given a query, which is a sentence with an empty slot where the Chengyu is taken out. our model will recommend the Chengyu candidate that best fits the slot context. The main challenge lies in that the literal meaning of a Chengyu is usually very different from its figurative meaning. We propose a neural approach to incorporate the definition of each Chengyu as background knowledge. Experiments on both Chengyu cloze test and coherence checking in college entrance exams show that our system achieves 89.5% accuracy on cloze test and outperforms human experts who attended competitive universities in China. We will make all of our data sets and resources publicly available as a new benchmark for research purposes.
机译:我们提出了成语的神经推荐模型,成语是一种特殊的汉语习语。给定一个查询,这是一个带有空槽的句子,其中取出了成语。我们的模型将推荐最适合广告位背景的成语候选人。主要的挑战在于,成语的字面意义通常与它的象征意义大相径庭。我们提出了一种神经方法,将每个成语的定义纳入背景知识。在高考中进行的成语完形填空测试和连贯性检查实验表明,我们的系统在完形填空测试中达到89.5%的准确性,并且胜过参加过中国竞争性大学的人类专家。我们将公开提供所有数据集和资源,作为研究的新基准。

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