Automatic multiple choice question (MCQ) generation from a text is a popular research area.
MCQs are widely accepted for large-scale assessment in various domains and applications …

Question generation, the task of automatically creating questions that can be answered by a
certain span of text within a given passage, is important for question-answering and …

We investigate the difficulty levels of questions in reading comprehension datasets such as
SQuAD, and propose a new question generation setting, named Difficulty-controllable …

Automatic question generation from text or paragraph is a great challenging task which
attracts broad attention in natural language processing. Because of the verbose texts and …

In this paper, we have proposed a technique for generating complex reading
comprehension questions from a discourse that are more useful than factual ones derived …

Events are a key semantic component integral to information extraction and natural
language understanding, which can potentially enhance many downstream applications …

With exploding textual data on the internet with e-books, legal documents and products
information, it is an opportunity to harness it for applications which can aid human tasks …

In this thesis, we address the problem of opinion question generation. The motivation behind
this task is to provide users with more question samples related to their query when using …

This thesis presents the design and implementation of a Chatbot that is able to answer
questions about an entity it is learning about. This Chatbot is capable of automatically …

Question generation is an important task for improving our ability to process natural
language data, with additional challenges over other sequence transformation tasks. Recent …