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An Incremental Iterated Response Model of Pragmatics

机译:语用学的增量式迭代反应模型

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Recent Iterated Response (IR) models of pragmatics conceptualize language use as a recursive process in which agents reason about each other to increase communicative efficiency. These models are generally defined over complete utterances. However, there is substantial evidence that pragmatic reasoning takes place incrementally during production and comprehension. We address this with an incremental IR model. We compare the incremental and global versions using computational simulations, and we assess the incremental model against existing experimental data and in the TUNA corpus for referring expression generation, showing that the model can capture phenomena out of reach of global versions.
机译:最近的语用迭代响应(IR)模型将语言使用概念化为递归过程,在此过程中,代理之间相互推理以提高交流效率。这些模型通常是根据完整的话语定义的。但是,有充分的证据表明,在生产和理解过程中,务实推理是逐步进行的。我们使用增量IR模型解决此问题。我们使用计算仿真来比较增量版本和全局版本,并针对现有的实验数据和TUNA语料库评估增量模型,以引用表达式生成,这表明该模型可以捕获全局版本无法达到的现象。

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