ParaQG: A System for Generating Questions and Answers from Paragraphs
This work addresses the need for automated question generation for applications like education or content creation, but it is incremental as it builds on existing sequence-to-sequence models with added usability features.
The authors tackled the problem of generating questions from paragraphs, which is labor-intensive manually, by developing ParaQG, a web-based system that generates questions from both sentences and paragraphs with an interactive interface and filtering techniques.
Generating syntactically and semantically valid and relevant questions from paragraphs is useful with many applications. Manual generation is a labour-intensive task, as it requires the reading, parsing and understanding of long passages of text. A number of question generation models based on sequence-to-sequence techniques have recently been proposed. Most of them generate questions from sentences only, and none of them is publicly available as an easy-to-use service. In this paper, we demonstrate ParaQG, a Web-based system for generating questions from sentences and paragraphs. ParaQG incorporates a number of novel functionalities to make the question generation process user-friendly. It provides an interactive interface for a user to select answers with visual insights on generation of questions. It also employs various faceted views to group similar questions as well as filtering techniques to eliminate unanswerable questions