How precisely does the brain predict the sensory consequences of our actions? Efference copy is thought to reflect the predicted sensation of self-produced motor acts, such as the auditory feedback heard while speaking. Here, we use magnetoencephalographic imaging (MEG-I) in human speakers to demonstrate that efference copy prediction does not track movement variability across repetitions of th...

We extend classic review mining work by building a binary classifier that predicts whether a review of a documentary film was written by an expert or a layman with 90.70% accuracy (F1 score), and compare the characteristics of the predicted classes. A variety of standard lexical and syntactic features was used for this supervised learning task. Our results suggest that experts write comparative...

We describe our grammar correction system for the CoNLL-2013 shared task. Our system corrects three of the five error types specified for the shared task noun-number, determiner and subject-verb agreement errors. For noun-number and determiner correction, we apply a classification approach using rich lexical and syntactic features. For subject-verb agreement correction, we propose a new rulebas...

BACKGROUND The Multiple Sclerosis Questionnaire for Physical Therapists (MSQPT) is a patient-rated outcome questionnaire for evaluating the rehabilitation of persons with multiple sclerosis (MS). Responsiveness was evaluated, and minimal important difference (MID) estimates were calculated to provide thresholds for clinical change for four items, three sections and the total score of the MSQPT....

background: one of the methods used for standard setting is the borderline regression method (brm). this study aims to assess the reliability of brm when the pass-fail standard in an objective structured clinical examination (osce) was calculated by averaging the brm standards obtained for each station separately. materials and methods: in nine stations of the osce with direct observation the e...

This article is motivated by a time-to-event analysis where the covariate of interest was measured at the wrong time. We show that the problem can be formulated as a special case of survival analysis with heterogeneous covariate measurement error and develop a general analytic framework. We study the asymptotic behavior of the naive partial likelihood estimates and analytically demonstrate that...

Appears in Computational Natural Language Learning (CoNLL-99), pages 43-52. A workshop at the 9th Conf. of the European Chapter of the Assoc. for Computational Linguistics (EACL-99). Bergen, Norway, June, 1999. cs.CL/9906015 Grammatical relationships are an important level of natural language processing. We present a trainable approach to find these relationships through transformation sequence...

Some time in the future, some spelling error correction system will correct all the errors, and only the errors. We need evaluation metrics that will tell us when this has been achieved and that can help guide us there. We survey the current practice in the form of the evaluation scheme of the latest major publication on spelling correction in a leading journal. We are forced to conclude that w...

In this paper, we try to develop a machine learning-based virus email detection method. The key feature of this paper is employing Mail Header and Encoding Anomaly(MHEA) [1]. MHEA is capable to distinguish virus emails from normal emails, and is composed of only 5 variables, which are obtained from particular email header fields. Generating signature from MHEA is easier than generating signatur...