An Explanation of the Veridical Uniformity Universal
An Explanation of the Veridical Uniformity Universal
复制标题
真实统一普遍性的解释
DOI：
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发表时间：
2020
影响因子：
0.9
通讯作者：
Shane Steinert
中科院分区：
文献类型：
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作者：
Shane Steinert
最近有人认为，应答动词（既带陈述补语又带疑问补语的动词）具有一种语义普遍性，我们在此称之为“真实一致性普遍性”。本文对这一普遍现象作了初步的解释：满足这一普遍性的动词比不满足这一普遍性的动词更容易学习。这一主张得到了使用人工神经网络的计算实验的支持，反映了最近解释量词语义共性的建议。这一初步研究为今后更普遍地解释语义共性的工作开辟了许多途径，并在结论中进行了讨论。
A semantic universal, which we here dub the Veridical Uniformity Universal, has recently been argued to hold of responsive verbs (those that take both declarative and interrogative complements). This paper offers a preliminary explanation of this universal: verbs satisfying it are easier to learn than those that do not. This claim is supported by a computational experiment using artificial neural networks, mirroring a recent proposal for explaining semantic universals of quantifiers. This preliminary study opens up many avenues for future work on explaining semantic universals more generally, which are discussed in the conclusion.
深度（呃）学习。
DOI：
10.1523/jneurosci.0153-18.2018
发表时间：
2018
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
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作者：
Srinivasan,Shyam;Greenspan,RalphJ;Stevens,CharlesF;Grover,Dhruv
通讯作者：
Grover,Dhruv