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Comparing Models of Associative Meaning: An Empirical Investigation of Reference in Simple Language Games

机译:联想意义的比较模型:简单语言游戏中指称的实证研究

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摘要

Simple reference games (Wittgenstein, 1953) are of central theoretical and empirical importance in the study of situated language use. Although language provides rich, compositional truth-conditional semantics to facilitate reference, speakers and listeners may sometimes lack the overall lexical and cognitive resources to guarantee successful reference through these means alone. However, language also has rich associational structures that can serve as a further resource for achieving successful reference. Here we investigate this use of associational information in a setting where only associational information is available: a simplified version of the popular game Codenames. Using optimal experiment design techniques, we compare a range of models varying in the type of associative information deployed and in level of pragmatic sophistication against human behavior. In this setting we find that listeners' behavior reflects direct bigram collocational associations more strongly than word-embedding or semantic knowledge graph-based associations and that there is little evidence for pragmatically sophisticated behavior by either speakers or listeners of the type that might be predicted by recursive-reasoning models such as the Rational Speech Acts theory. These results shed light on the nature of the lexical resources that speakers and listeners can bring to bear in achieving reference through associative meaning alone.
机译:简单参考游戏(Wittgenstein,1953年)在研究情境语言使用中具有重要的理论和经验重要性。尽管语言提供了丰富的,构成事实的条件语义来促进参考,但是说话者和听者有时可能缺乏整体的词汇和认知资源来仅通过这些手段来保证成功的参考。但是,语言还具有丰富的关联结构,可以作为获得成功参考的进一步资源。在这里,我们研究了在只有关联信息可用的环境中这种关联信息的使用:流行游戏Codenames的简化版本。使用最佳的实验设计技术,我们比较了一系列模型,这些模型在所部署的关联信息的类型以及针对人类行为的实用复杂程度方面有所不同。在这种情况下,我们发现听众的行为比词嵌入或基于语义知识图的联想更能反映直接的双语法例搭配搭配,而且几乎没有证据表明说话者或听众的语用学上复杂的行为可能被预测递归推理模型,例如有理言语行为理论。这些结果揭示了说话者和听者可以通过单独的联想意义来获得参考的词汇资源的性质。

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  • 会议地点 Brussels(BE)
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    Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge, MA 02139;

    Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge, MA 02139;

    Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge, MA 02139;

    Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge, MA 02139;

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