Dialog Learning
1 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Dialog Learning
Latest papers with no code
Simulated Chats for Building Dialog Systems: Learning to Generate Conversations from Instructions
Popular dialog datasets such as MultiWOZ are created by providing crowd workers an instruction, expressed in natural language, that describes the task to be accomplished.
Learning Low-Resource End-To-End Goal-Oriented Dialog for Fast and Reliable System Deployment
Existing end-to-end dialog systems perform less effectively when data is scarce.
Quantized-Dialog Language Model for Goal-Oriented Conversational Systems
The key idea is to quantize the dialog space into clusters and create a language model across the clusters, thus allowing for an accurate choice of the next utterance in the conversation.
Adversarial Learning of Task-Oriented Neural Dialog Models
We further discuss the covariate shift problem in online adversarial dialog learning and show how we can address that with partial access to user feedback.
Demonstration of interactive teaching for end-to-end dialog control with hybrid code networks
This is a demonstration of interactive teaching for practical end-to-end dialog systems driven by a recurrent neural network.
A Base Camp for Scaling AI
For the intent detection task, we use a dataset of a thousand labeled utterances from user dialogs with Cortana, and we show that our approach matches state of the art SML methods, but in addition provides full transparency: the whole (editable) model can be summarized on one human-readable page.
