The advent of recent Natural Language Processing technology has led human and machine
interactions more toward conversation. In Conversational Search Systems (CSS) like …

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 …

Questioning plays a vital role in education, directing knowledge construction and assessing
students' understanding. However, creating high-level questions requires significant …

Product descriptions on e-commerce websites often suffer from missing important aspects.
Clarification question generation (CQGen) can be a promising approach to help alleviate the …

Asking clarification questions is an active area of research; however, resources for training
and evaluating search clarification methods are not sufficient. To address this issue, we …

Task oriented Dialogue Systems generally employ intent detection systems in order to map
user queries to a set of pre-defined intents. However, user queries appearing in natural …

Task-oriented dialogue systems aim at providing users with task-specific services. Users of
such systems often do not know all the information about the task they are trying to …

Clarification question generation is used mainly to solve the potential missing product
information problem in e-commerce. However, the problem of not being able to better …

We address the product question generation task. For a given product description, our goal
is to generate questions that reflect potential user information needs that are either missing …

While today's search engines work well for simple queries, there are situations where search
results are not satisfactory. To cope with such situations, user-machine interactions have …