One of the core components of modern spoken dialogue systems is the belief tracker, which
estimates the user's goal at every step of the dialogue. However, most current approaches …

Dialogue state tracking is the core part of a spoken dialogue system. It estimates the beliefs
of possible user's goals at every dialogue turn. However, for most current approaches, it's …

User Simulators are one of the major tools that enable offline training of task-oriented
dialogue systems. For this task the Agenda-Based User Simulator (ABUS) is often used. The …

This paper proposes an improvement to the existing data-driven Neural Belief Tracking
(NBT) framework for Dialogue State Tracking (DST). The existing NBT model uses a hand …

Distracted driving is deadly, claiming 3,477 lives in the US in 2015 alone. Although there
has been a considerable amount of research on modeling the distracted behavior of drivers …

A Dialogue State Tracker (DST) is a key component in a dialogue system aiming at
estimating the beliefs of possible user goals at each dialogue turn. Most of the current DST …

Dialogue state tracking is a key sub-task of dialogue management. The fourth Dialog State
Tracking Challenge (DSTC-4) focuses on dialogue state tracking for real world human …

This paper presents a hybrid dialog state tracker that combines a rule based and a machine
learning based approach to belief state tracking. Therefore, we call it a hybrid tracker. The …

Statistical dialogue management is the core of cognitive spoken dialogue systems (SDS)
and has attracted great research interest. In recent years, SDS with the ability of evolution is …

Abstract Recently, constrained Markov Bayesian polynomial (CMBP) has been proposed as
a data-driven rule-based model for dialog state tracking (DST). CMBP is an approach to …