85 papers with code • 0 benchmarks • 5 datasets
These leaderboards are used to track progress in Chatbot
In addition, by integrating a once-through learning approach, the speed of semantics purification is accelerated while reducing the impact on the quality of replies.
Innovation is a key component in trying new solutions for the students to learn efficiently and in ways that correspond to their own experience, where chatbots are one of these new solutions.
Visual representation of data like charts and tables can be challenging to understand for readers.
Making the case for audience design in conversational AI: Rapport expectations and language ideologies in a task-oriented chatbot
This paper argues that insights into users' language ideologies and their rapport expectations can be used to inform the audience design of the bot's language and interaction patterns and ensure equitable access to the services provided by bots.
This system will work based on the text as a conversational agent that can interact with humans by natural language.
Public trust in medical information is crucial for successful application of public health policies such as vaccine uptake.
The knowledge captured in this graph bears potential for conversational systems to understand how people offer acknowledgement, consoling, and a wide range of empathetic responses in social conversations.
A Low-Cost, Controllable and Interpretable Task-Oriented Chatbot: With Real-World After-Sale Services as Example
Though widely used in industry, traditional task-oriented dialogue systems suffer from three bottlenecks: (i) difficult ontology construction (e. g., intents and slots); (ii) poor controllability and interpretability; (iii) annotation-hungry.