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Grounding the Lexical Sets of Causative-Inchoative Verbs with Word Embedding

机译:用词语将词汇集合的使役动词 - 动词   嵌入

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摘要

Lexical sets contain the words filling the argument positions of a verb inone of its senses. They can be grounded empirically through their automaticextraction from corpora. The purpose of this paper is demonstrating that theirvector representation based on word embedding provides insights onto manylinguistic phenomena, and in particular about verbs undergoing thecausative-inchoative alternation. A first experiment aims at investigating theinternal structure of the sets, which are known to be radial and continuouscategories cognitively. A second experiment shows that the distance between thesubject set and object set is correlated with a semantic factor, namely thespontaneity of the verb.
机译:词法集合包含填充动词本身意义的单词的词。通过从语料库中自动提取它们,可以根据经验确定它们的基础。本文的目的是证明它们基于单词嵌入的向量表示提供了对许多语言现象的洞察力,尤其是对动词进行了使使-从-交替的动词。第一个实验旨在研究集合的内部结构,这些结构在认知上被称为径向和连续类别。第二个实验表明,对象集和对象集之间的距离与语义因素(即动词的自发性)相关。

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