ParaQG: A System for Generating Questions and Answers from Paragraphs

TL;DR

ParaQG is a web-based system that generates relevant, syntactically correct questions from paragraphs and sentences, featuring interactive and filtering tools to enhance user experience.

Contribution

It introduces a user-friendly, interactive question generation system from paragraphs, with novel filtering and visualization functionalities not available in prior models.

Findings

Provides an accessible web interface for question generation

Includes filtering techniques to remove unanswerable questions

Offers visual insights and faceted views for better question management

Abstract

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