Papers Dialog Learning

Improving Dialogue Management: Quality Datasets vs Models

Task-oriented dialogue systems (TODS) have become crucial for users to interact with machines and computers using natural language. One of its key components is the dialogue manager, which guides the conversation towards…

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. Crowd workers play the role of a user and an agen…

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. To obtain an acceptable success in real-life online services with only a handful of training examples, both fast adaptability and reliable …

Quantized-Dialog Language Model for Goal-Oriented Conversational Systems

We propose a novel methodology to address dialog learning in the context of goal-oriented conversational systems. The key idea is to quantize the dialog space into clusters and create a language model across the clusters…

Adversarial Learning of Task-Oriented Neural Dialog Models

In this work, we propose an adversarial learning method for reward estimation in reinforcement learning (RL) based task-oriented dialog models. Most of the current RL based task-oriented dialog systems require the access…

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. In this approach, a developer teaches the network by interacting with the system and providing…

A Base Camp for Scaling AI

Modern statistical machine learning (SML) methods share a major limitation with the early approaches to AI: there is no scalable way to adapt them to new domains. Human learning solves this in part by leveraging a rich, …

Learning Knowledge Graphs for Question Answering through Conversational Dialog