Abstract NLP has achieved great progress in the past decade through use of neural models and large labeled datasets. The dependence on abundant data prevents from being applied to low-resource settings or novel tasks where significant time, money, expertise is required label massive amounts textual data. Recently, augmentation methods have been explored as a means improving efficiency NLP. To d...

One of the important, practical and simple methods for hydrate formation conditionis empirical equations, and so far many empirical equations have been presented to predict thetemperature and pressure of hydrate formation. In this study, the methods and empiricalcorrelations have been reviewed and their predictive capabilities have been evaluated with ...

This paper deals with the representation of the family in Japanese TV commercials. Based on empirical research conducted in 2004 and 2005, it argues that Japanese commercials tend to depict the family and its members in highly stereotypical ways. Mothers are almost always shown doing some kind of housework, at times supported by their daughters, preparing for their future role as a mother and w...

poverty is the most serious threat to natural resources and the environment and most of the poor are rural-based who engage in various agricultural activities. land is a critical asset for the rural poor and lacking means to appropriately intensify agriculture which compels the poor to either overuse or misuse this natural resource base to meet basic needs. this study presents empirical relatio...

Objectives Information technology involves a risk of privacy violation in providing easy access to confidential information,such as personal information and medical information through the Internet. In this study, we investigated medical information security to gain a better understanding of trends in research related to medical information security. Methods We researched papers published on ...

Data warehouses (DWs) can become inconsistent when some dimensional constraints are not satisfied by the dimension instances. In this paper, we present preliminary results about the effects of the violation of partitioning constraints in homogeneous dimension instances over aggregation queries, and in particular over the summarizability property (SUMM) of the DWs. We are interested in finding w...

We consider the classical statistical learning/regression problem, when the value of a real random variable Y is to be predicted based on the observation of another random variableX . Given a class of functions F and a sample of independent copies of (X,Y ), one needs to choose a function f̂ from F such that f̂(X) approximates Y as well as possible, in the mean-squared sense. We introduce a new p...

The statistical analysis of spatial data is usually done under Gaussian assumption for the underlying random field model. When this assumption is not satisfied, block bootstrap methods can be used to analyze spatial data. One of the crucial problems in this setting is specifying the block sizes. In this paper, we present asymptotic optimal block size for separate block bootstrap to estimate the...