Abstract Visual Question Answering (VQA) is the problem of automatically answering a natural language question about given image or video. Standard Arabic sixth most spoken around world. However, to best our knowledge, there are neither research attempts nor datasets for VQA in Arabic. In this paper, we generate first (VAQA) dataset, which fully generated. The dataset consists almost 138k Image...

While exam-style questions are a fundamental educational tool serving variety of purposes, manual construction is complex process that requires training, experience and resources. Automatic question generation (QG) techniques can be utilized to satisfy the need for continuous supply new by streamlining their generation. However, compared automatic answering (QA), QG more challenging task. In th...

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...