People often speak ambiguously, as in the case of "indirect requests." Certain indirect requests are conventional and thus straightforward to interpret, such as "Can you turn on the heater?", but others require substantial additional inference, such as "It's cold in here." How do comprehenders make inferences about a…

We propose that machine-learned computational models (MLCMs), in which the model parameters and perhaps even structure are learned from data, can complement extant approaches to the study of text and discourse. Such models are particularly useful when theoretical understanding is insufficient, when the data are rife with nonlinearities and…