Factual Question Generation System Using Pro Semantic Ranker
In today’s internet world the amount of materials available to learn and gain knowledge is immense in numbers, which has given access to a lot of people to gain knowledge easily. Is it possible to find out if someone has read this sentence? To arrive at a conclusion of whether or not someone has read something, we can ask them to summarize its contents or question them about it. We can start with basic questions that deal with the title or the abstract, and progress to more challenging questions. A good example of this process would be a primary school teacher questioning his or her students on the basics of what they are reading to make sure that they are learning. It is a time-consuming process to create the basic questions and reading assessments that are commonly used, and can be quite taxing on the educator. This paper focuses on automating that time-intensive process. To be precise, this paper deals with the problem of generation of the factual questions in an automated manner from stand-alone texts.