This tutorial surveys neural approaches to conversational AI that were developed in the last
few years. We group conversational systems into three categories:(1) question answering …

A scalable statistical language understanding (SLU) system uses a fixed number of
understanding models that scale across domains and intents (ie single vs. multiple intents …

This paper presents a system to detect multiple intents (MIs) in an input sentence when only
single-intent (SI)-labeled training data are available. To solve the problem, this paper …

This paper proposes a Markov Decision Process and reinforcement learning based
approach for domain selection in a multidomain Spoken Dialogue System built on a …

We consider the gap between user demands for seamless handling of complex interactions,
and recent advances in dialog state tracking technologies. We propose a new statistical …

The RoboHelper project has the goal of develo** assistive robots for the elderly. One
crucial component of such a robot is a multimodal dialogue architecture, since collaborative …

Examples of the present disclosure describe systems and methods of transfer learning
techniques for disparate label sets. In aspects, a data set may be accessed on a server …

Current advances in the development of mobile and smart devices have generated a
growing demand for natural human-machine interaction and favored the intelligent assistant …

Procedural dialog systems can help users achieve a wide range of goals. However, such
systems are challenging to build, currently requiring manual engineering of substantial …

Traditional spoken dialog systems are usually based on a centralized architecture, in which
the number of domains is predefined, and the provider is fixed for a given domain and intent …