This paper presents how to generate questions from given passages using neural networks, where large scale QA pairs are automatically crawled and processed from Community-QA website, and used as training data. The contribution of the paper is 2-fold: First, two types of question generation approaches are proposed, one is a retrieval-based method using convolution neural network (CNN), the other...

Introduction. Evaluation is one of the characteristic issues of education process and help us to assess deficiency and powerty of education programs and solve the problems of education. Methods. In this study a proper questionnaire was distributed and answered by instructors. Then information was analyzed by SPSS software. Results. In this study 72.5% of instructors used formative evaluatio...

The evaluation of the question answering system is a major research area that needs much attention. Before the rise of domain-oriented question answering systems based on natural language understanding and reasoning, evaluation is never a problem as information retrieval-based metrics are readily available for use. However, when question answering systems began to be more domains specific, eval...

pg-MathTrails is an application developed to assess math skills of school students. It includes i) topic hierarchy to categorize the questions, ii) question template repository using which teachers can add different types of questions, iii) question play module to play questions, iv) student evaluation module to evaluate student performance, and v) recommender that recommends videos residing in...

Methods of incorporating the evaluation of professional conduct have varied widely by specialty, institution, and level of training. Medical educators now are tasked with developing more operationally-defined evaluative tools while balancing the ongoing need to reduce administrative load and survey fatigue that have been linked with physician burnout. Our aim was to investigate the value of a s...

In this paper we will ask the question of what proficiency in a textual language (e.g. English) has in common with evaluating information visualizations. We admit that this question might not seem completely straightforward. Therefore we will first present how experimental practice led us to this question. We hypothesize that the ability to use a visualization (to speak the visual language) aff...

In QAC-4, we defined question answering task using any type of question, mainly focused on non-factoid questions. There are 8 participants and 14 runs from these participants. In the evaluation, four kinds of criterion were used for some portion of participants answer set. The evaluation results showed some of the participant systems could focus on the area which correct answer contents exist b...

Question-answering systems have multiples problems dealing with answer extraction from retrieved documents, especially when cross-checking is needed for questions expecting multiple answers. We focused on answer extraction and answer crossing by building an ideal corpus for a dozen of multiple answer questions. We performed a fine-grained evaluation on each strategy for answer extraction and va...