We present a new framework for compositional distributional semantics in which the distributional contexts of lexemes are expressed in terms of anchored packed dependency trees. We show that these structures have the potential to capture the full sentential contexts of a lexeme and provide a uniform basis for the composition of distributional knowledge in a way that captures both mutual disambi...

The distributional characteristic is a measure which can be used in many applications in social cost-benefit analysis. In the application here, the distributional characteristics of a number of broad aggregates of goods are calculated for Ireland. These calculations can aid in assessing the distributional implications of price and tax changes.

In this note, we apply the testing methodology of Corradi and Swanson (2003a), which is based on a distributional generalization of White’s (2000) reality check in order to examine the “distributional fit” of alternative real business cycle models. Parameter calibration and estimation error is found to matter much less than distributional assumptions, when some simple illustrative macroeconomic...

In the past 15 years, a substantial body of evidence has confirmed that a powerful distributional learning mechanism is present in infants, children, adults and (at least to some degree) in nonhuman animals as well. The present article briefly reviews this literature and then examines some of the fundamental questions that must be addressed for any distributional learning mechanism to operate e...