Question generation is an important yet challenging problem in Artificial Intelligence (AI),
which aims to generate natural and relevant questions from various input formats, eg …

Automatic question generation aims to generate questions from a text passage where the
generated questions can be answered by certain sub-spans of the given passage …

Question generation in natural language has a wide variety of applications. It can be a
helpful tool for chatbots for generating interesting questions as also for automating the …

In this paper, we focus on the problem of question generation (QG). Recent neural network-
based approaches employ the sequence-to-sequence model which takes an answer and its …

Neural network-based methods represent the state-of-the-art in question generation from
text. Existing work focuses on generating only questions from text without concerning itself …

The ability to ask questions is important in both human and machine intelligence. Learning
to ask questions helps knowledge acquisition, improves question-answering and machine …

Question Generation is the task of automatically creating questions from textual input. In this
work we present a new Attentional Encoder--Decoder Recurrent Neural Network model for …

The task of natural question generation is to generate a corresponding question given the
input passage (fact) and answer. It is useful for enlarging the training set of QA systems …

Powerful generative models have led to recent progress in question generation (QG).
However, it is difficult to measure advances in QG research since there are no standardized …

Taking an answer and its context as input, sequence-to-sequence models have made
considerable progress on question generation. However, we observe that these approaches …