A survey on dialogue systems: Recent advances and new frontiers
Dialogue systems have attracted more and more attention. Recent advances on dialogue
systems are overwhelmingly contributed by deep learning techniques, which have been …
systems are overwhelmingly contributed by deep learning techniques, which have been …
[HTML][HTML] Conversational question answering: A survey
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 …
various formats including, but not limited to, unstructured and structured data in natural …
Asking clarifying questions in open-domain information-seeking conversations
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 …
consequence, they may need to scan multiple result pages or reformulate their queries …
Ruber: An unsupervised method for automatic evaluation of open-domain dialog systems
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 …
the past few years. However, there does not exist a standard automatic evaluation metric for …
Diverse and informative dialogue generation with context-specific commonsense knowledge awareness
Generative dialogue systems tend to produce generic responses, which often leads to
boring conversations. For alleviating this issue, Recent studies proposed to retrieve and …
boring conversations. For alleviating this issue, Recent studies proposed to retrieve and …
Evaluating mixed-initiative conversational search systems via user simulation
Clarifying the underlying user information need by asking clarifying questions is an
important feature of modern conversational search system. However, evaluation of such …
important feature of modern conversational search system. However, evaluation of such …
Recosa: Detecting the relevant contexts with self-attention for multi-turn dialogue generation
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 …
Therefore, an ideal model should be able to detect these relevant contexts and produce a …
[PDF][PDF] Get The Point of My Utterance! Learning Towards Effective Responses with Multi-Head Attention Mechanism.
Attention mechanism has become a popular and widely used component in sequence-to-
sequence models. However, previous research on neural generative dialogue systems …
sequence models. However, previous research on neural generative dialogue systems …
Response ranking with deep matching networks and external knowledge in information-seeking conversation systems
Intelligent personal assistant systems with either text-based or voice-based conversational
interfaces are becoming increasingly popular around the world. Retrieval-based …
interfaces are becoming increasingly popular around the world. Retrieval-based …
Infusing multi-source knowledge with heterogeneous graph neural network for emotional conversation generation
The success of emotional conversation systems depends on sufficient perception and
appropriate expression of emotions. In a real-world conversation, we firstly instinctively …
appropriate expression of emotions. In a real-world conversation, we firstly instinctively …