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An Incremental Iterated Response Model of Pragmatics

机译:语用学的增量迭代响应模型

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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:最近迭代的响应(IR)语用概念概念化语言用作递归过程,其中代理的原因彼此提高,以提高交流效率。这些模型通常定义在完整的话语上。但是,有很大的证据证明在生产和理解期间递增地发生务实的推理。我们用增量红外模型来解决这个问题。我们使用计算模拟比较增量和全局版本,我们评估了对现有实验数据和Tuna语料库的增量模型,以参考表达生成,表明该模型可以捕获出在全球版本的范围内的现象。

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