We present an internet-based system that helps teachers to make a cloze test on an online news article. The current system supports question making on grammar and vocabulary of English. The system works as an assistant to the teacher. It helps the user to choose an article, highlights grammar targets, suggests possible choices for the wrong alternatives, and formats the questions in a printer-f...

This paper presents a pilot system and discusses its possible extensions. In the first sections, we present a web-based test authoring system for English grammar and vocabulary. It assists language teachers to make questions on arbitrary input texts, such as online news. The system employs the techniques of NLP (Natural Language Processing) and is compared with other studies in the same field. ...

The present study investigated children's comprehension of reading material which was of either highor low-interest. Previous research indicates that children comprehend more of highthan low-interest material when each child is given a mixture of both types of material. This effect could be due to a contrast effect whereby children selectively respond to the more appealing passages in their set...

The Story Cloze Test consists of choosing a sentence that best completes a story given two choices. In this paper we present a system that performs this task using a supervised binary classifier on top of a recurrent neural network to predict the probability that a given story ending is correct. The classifier is trained to distinguish correct story endings given in the training data from incor...

We present Guru, an intelligent tutoring system for high school biology that has conversations with students, gestures and points to virtual instructional materials, and presents exercises for extended practice. Guru’s instructional strategies are modeled after expert tutors and focus on brief interactive lectures followed by rounds of scaffolding as well as summarizing, concept mapping, and Cl...

Idioms and common multi-word expressions are often argued to be stored as chunks of words or fixed configurations in the mind, and to therefore be accessed faster and interpreted more easily than fully compositional word combinations. Experimental research has furthermore shown that a specific “recognition point” can be identified in such expressions, at which enough information is present to a...

Semantic scripts is a conceptual representation which defines how events are organized into higher level activities. Practically all the previous approaches to inducing script knowledge from text relied on count-based techniques (e.g., generative models) and have not attempted to compositionally model events. In this work, we introduce a neural network model which relies on distributed composit...