Data errors in emt licensure evaluator article

EMT related lncrnas’ as novel biomarkers in glioblastoma: a review article

Glioma is the most common type of brain tumor and according to the 2016 WHO classification, based on invasion level, it is divided into four categories. The most severe and invasive type is grade IV glioma or glioblastoma (GBM), which has a very poor prognosis and a survival rate of only 15 months. However, the molecular pathway of invasion in malignant glioma tumors has not yet been clearly el...

Spatial Correlation Testing for Errors in Panel Data Regression Model

To investigate the spatial error correlation in panel regression models, various statistical hypothesizes and testings have been proposed. This paper, within introduction to spatial panel data regression model, existence of spatial error correlation and random effects is investigated by a joint Lagrange Multiplier test, which simultaneously tests their existence. For this purpose, joint Lagrang...

Data Protection in a Uni ed Storage Environment Evaluator Group

Automatic Classification of Article Errors in L2 Written English

This paper presents an approach to the automatic classification of article errors in non native (L2) English writing, using data cho sen from the MELD corpus that was purposely selected to contain only cases with article errors. We report on two experiments on the data: one to assess the performance of different machine learning algorithms in predicting correct article usage, and the other to d...

Detecting errors in English article usage by non-native speakers

One of the most difficult challenges faced by non-native speakers of English is mastering the system of English articles. We trained a maximum entropy classifier to select among a/an, the, or zero article for noun phrases (NPs), based on a set of features extracted from the local context of each. When the classifier was trained on 6 million NPs, its performance on published text was about 83% c...