A computational model of S-selection

A computational model of S-selection
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S-选择的计算模型

DOI:
10.3765/salt.v26i0.3819
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发表时间:
2016
期刊:
Semantics and Linguistic Theory
影响因子:
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通讯作者:
Kyle Rawlins
Kyle Rawlins
中科院分区:
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文献类型:
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作者:
Aaron Steven White;Kyle Rawlins

文献摘要

被引文献

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我们发展了一个S(语义)选择的概率模型,该模型既编码了从语义型标记到句法分布的系统映射的概念-即投影规则--也编码了选择噪声的概念,例如C(范畴)选择、L(外部)选择和/或其他独立的句法过程。通过对50个不同句法框架中的1000个英语从句动词的可接受性进行大规模判断研究,我们对该模型进行了训练,发现该模型可以推断出连贯的语义类型特征。我们关注与疑问和陈述选择相关的类型标记,认为我们的结果表明认知动词和交际动词之间存在原则上的分裂,认知动词选择不同的命题和疑问类型,交际动词选择单一的混合类型。
We develop a probabilistic model of S(emantic)-selection that encodes both the notion of systematic mappings from semantic type signature to syntactic distribution — i.e., projection rules — and the notion of selectional noise — e.g., C(ategory)-selection, L(exical)-selection, and/or other independent syntactic processes. We train this model on data from a large-scale judgment study assessing the acceptability of 1,000 English clause-taking verbs in 50 distinct syntactic frames, finding that this model infers coherent semantic type signatures. We focus in on type signatures relevant to interrogative and declarative selection, arguing that our results suggest a principled split between cognitive verbs, which select distinct proposition and question types, and communicative verbs, which select a single hybrid type.