论文标题

无色绿色的想法如何激怒?上下文可接受性

How Furiously Can Colourless Green Ideas Sleep? Sentence Acceptability in Context

论文作者

Lau, Jey Han, Armendariz, Carlos S., Lappin, Shalom, Purver, Matthew, Shu, Chang

论文摘要

我们研究上下文对句子可接受性的影响。首先,我们将孤立判断,相关背景和无关紧要的句子的可接受性评级与无关紧要的句子进行了比较。我们的结果表明,上下文引起了人类的认知负荷,这会压缩评级的分布。此外,在相关背景下,我们观察到一种统一提高可接受性的话语连贯效应。接下来,我们在预测可接受性评分的能力中测试了单向和双向语言模型。双向模型显示出非常有希望的结果,最佳模型实现了无监督可接受性预测的新最新。两组实验提供了有关文本和话语计算建模中句子处理和中心问题的认知方面的见解。

We study the influence of context on sentence acceptability. First we compare the acceptability ratings of sentences judged in isolation, with a relevant context, and with an irrelevant context. Our results show that context induces a cognitive load for humans, which compresses the distribution of ratings. Moreover, in relevant contexts we observe a discourse coherence effect which uniformly raises acceptability. Next, we test unidirectional and bidirectional language models in their ability to predict acceptability ratings. The bidirectional models show very promising results, with the best model achieving a new state-of-the-art for unsupervised acceptability prediction. The two sets of experiments provide insights into the cognitive aspects of sentence processing and central issues in the computational modelling of text and discourse.

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