Automatic generation of multiple-choice questions is an emerging topic in application of natural language processing. Particularly, applying it to language testing has been proved to be useful (Sumita et al., 2005). This demo presents an novel approach of question generation using machine learning we have introduced in (Hoshino and Nakagawa, 2005). Our study aims to generate TOEIC-like 1 multip...

We leverage crowd wisdom for multiple-choice question answering, and employ lightweight machine learning techniques to improve the aggregation accuracy of crowdsourced answers to these questions. In order to develop more effective aggregation methods and evaluate them empirically, we developed and deployed a crowdsourced system for playing the “Who wants to be a millionaire?” quiz show. Analyzi...

Depression is one of the most prevalent mental health diseases. Although there are effective treatments, main problem relies on providing early and risk detection. Medical experts use self-reporting questionnaires to elaborate their diagnosis, but these have some limitations. Social stigmas lack awareness often negatively affect success self-report questionnaires. This article aims describe tec...