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...

What makes some words easy for infants to recognize, and other words difficult? We addressed this issue in the context of prior results suggesting that infants have difficulty recognizing verbs relative to nouns. In this work, we highlight the role played by the distributional contexts in which nouns and verbs occur. Distributional statistics predict that English nouns should generally be easie...

Distributional semantic models (DSMs) are semantic models which are based on the statistical analysis of co-occurrences of words in large corpora. DSMs can be used in a wide spectrum of semantic applications including semantic search, question answering, paraphrase detection, word sense disambiguation, among others. The ability to automatically harvest meaning from unstructured heterogeneous da...

Opportunities for associationist learning of word meaning, where a word is heard or read contemperaneously with information being available on its meaning, are considered too infrequent to account for the rate of language acquisition in children. It has been suggested that additional learning could occur in a distributional mode, where information is gleaned from the distributional statistics (...

nowadays, organizations are required to continually find new ways to grow in response to constantly changing challenges. in today’s dynamic work place, successful organizations need employees who do more than their role requirements. employees who perceive unfairness might lessen their extra-role behavior, while on the other hand employees who perceive fairness would want to contribute more to ...