We describe a method to semi-automatically generate incorrect choices, or distractors, for cloze (fill-in-the-blank) questions. We generated distractors aimed at revealing what type of misunderstanding a student was having. English as a Second Language learners answered a series of cloze questions that presented distractors generated by our method. We analyzed their answers in order to see how ...

This paper describes an ensemble system submitted as part of the LSDSem Shared Task 2017 the Story Cloze Test. The main conclusion from our results is that an approach based on semantic similarity alone may not be enough for this task. We test various approaches and compare them with two ensemble systems. One is based on voting and the other on logistic regression based classifier. Our final sy...

We use vector space models (VSMs) as explicit models of word relations that influence the N400, and use this connection to predict N400 amplitude in an ERP study by Federmeier and Kutas (1999). We find that the VSM-based model is able to capture key elements of the authors’ manipulations and results, accounting for aspects of the results that are unexplained by cloze probability. This demonstra...

this paper presents a new modified technique for ear and eyebrow reconstruction which was used to reconstruct facial injuries caused by burns, excision of malignant tumors, depressed traumatic scars and a low hairline defect around the auricular region.' other facial reconstructions carried out by this procedure were also highly successful and without complications.

Participants read sentences presented one word at a time, half of which ended with a semantically incongruent ending. 1.5T functional magnetic resonance imaging data were collected from 11 participants, showing that the left posterior inferior temporal region, which has previously been termed the Language Formulation Area (LFA), responded to cloze probability. It is suggested, based on anatomic...