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 …

Conversational information seeking (CIS) is concerned with a sequence of interactions
between one or more users and an information system. Interactions in CIS are primarily …

Users often fail to formulate their complex information needs in a single query. As a
consequence, they may need to scan multiple result pages or reformulate their queries …

Ambiguity is inherent to open-domain question answering; especially when exploring new
topics, it can be difficult to ask questions that have a single, unambiguous answer. In this …

Search queries are often short, and the underlying user intent may be ambiguous. This
makes it challenging for search engines to predict possible intents, only one of which may …

Enabling open-domain dialogue systems to ask clarifying questions when appropriate is an
important direction for improving the quality of the system response. Namely, for cases when …

Clarifying the underlying user information need by asking clarifying questions is an
important feature of modern conversational search system. However, evaluation of such …

This research aims to explore various methods for assessing user feedback in mixed-
initiative conversational search (CS) systems. While CS systems enjoy profuse …

The NLP community has seen substantial recent interest in grounding to facilitate interaction
between language technologies and the world. However, as a community, we use the term …