Dialogue systems have attracted more and more attention. Recent advances on dialogue
systems are overwhelmingly contributed by deep learning techniques, which have been …

Question answering (QA) systems provide a way of querying the information available in
various formats including, but not limited to, unstructured and structured data in natural …

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 …

Open-domain human-computer conversation has been attracting increasing attention over
the past few years. However, there does not exist a standard automatic evaluation metric for …

Generative dialogue systems tend to produce generic responses, which often leads to
boring conversations. For alleviating this issue, Recent studies proposed to retrieve and …

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

In multi-turn dialogue generation, response is usually related with only a few contexts.
Therefore, an ideal model should be able to detect these relevant contexts and produce a …

Attention mechanism has become a popular and widely used component in sequence-to-
sequence models. However, previous research on neural generative dialogue systems …

Intelligent personal assistant systems with either text-based or voice-based conversational
interfaces are becoming increasingly popular around the world. Retrieval-based …

The success of emotional conversation systems depends on sufficient perception and
appropriate expression of emotions. In a real-world conversation, we firstly instinctively …