Stemming from distributed representation theories, we investigate the interaction between distributed structure and distributional meaning. We propose a pure distributed tree (DT) and distributional distributed tree (DDT). DTs and DDTs are exploited for defining distributed tree kernels (DTKs) and distributional distributed tree kernels (DDTKs). We compare DTKs and DDTKs in two tasks: approxima...

Starting from the distributional bootstrapping hypothesis, we propose an unsupervised model that selects the most useful distributional information according to its salience in the input, incorporating psycholinguistic evidence. With a supervised Parts-of-Speech tagging experiment, we provide preliminary results suggesting that the distributional contexts extracted by our model yield similar pe...

We survey recent results on the structure of the range of the derivative of a smooth mapping f between two Banach spaces X and Y . We recall some necessary conditions and some sufficient conditions on a subsetA of (X ,Y) for the existence of a Fréchet differentiable mapping f from X into Y so that f ′(X)= A. Whenever f is only assumed Gâteaux differentiable, new phenomena appear: for instance, ...

approximating the solution of differential equations of fractional order is necessary because fractional differential equations have extensively been used in physics, chemistry as well as engineering fields. in this paper with central difference approximation and newton cots integration formula, we have found approximate solution for a class of boundary value problems of fractional order. three...

potential field methods such as gravity and magnetic methods are among the most applied geophysical methods in mineral exploration. a high-resolution technique is developed to image geologic boundaries such as contacts and faults. potential field derivatives are the basis of many interpretation techniques. in boundary detection, the analytic signal quantity is defined by combining the val...

In this paper, we examine the distributional effects of tax evasion, using results from theoretical, experimental, empirical, and especially the general equilibrium literatures on tax evasion. Much – if not all – of this evidence concludes that the main beneficiaries of successful tax evasion are the tax evaders themselves, with distributional effects that largely favor higher income individual...

In this paper, we examine the distributional effects of tax evasion, using results from theoretical, experimental, empirical, and especially the general equilibrium literatures on tax evasion. Much – if not all – of this evidence concludes that the main beneficiaries of successful tax evasion are the tax evaders themselves, with distributional effects that largely favor higher income individual...

Distributional information is a potential cue for learning syntactic categories. Recent artificial grammar studies demonstrate sophisticated distributional learning by young infants. Here we investigate the possible mechanisms and representations underlying this ability. Does prosody constrain distributional analysis? What specific distributional relations do learners track? Twelve-month-old in...

Distributional models assume that the contexts of a linguistic unit (such as a word, a multi-word expression, a phrase, a sentence, etc.) provide information about the meaning of the linguistic unit (Firth, 1957; Harris, 1968). They have been widely applied in data-intensive lexical semantics (among other areas), and proven successful in diverse research issues, such as the representation and d...

This paper examines the effects of alternative distributional assumptions on aggregating across individuals with an identical utility function: so-called ”clones”. The standard representative agent paradigm is shown to be a special case, which is only satisfied under stringent distributional assumptions. Alternative, and more realistic distributional assumptions can produce vastly different est...