This paper presents the Frames dataset (Frames is available at http://datasets. maluuba.
com/Frames), a corpus of 1369 human-human dialogues with an average of 15 turns per …

This article shares insights gathered from the design and implementation of an SMS chatbot-
based virtual assistant to hotel guests in London. The author discusses challenges and first …

We present and evaluate a novel approach to natural language generation (NLG) in
statistical spoken dialogue systems (SDS) using a data-driven statistical optimization …

This paper focuses on user adaptation in Spoken Dialogue Systems. It is considered that the
system has already been optimised with Reinforcement Learning methods for a set of users …

We present an approach to evaluate argument search techniques in view of their use in
argumentative dialogue systems by assessing quality aspects of the retrieved arguments. To …

This paper describes a French Spoken Dialogue System (SDS) named NASTIA (Negotiating
Appointment SeTting InterfAce). Appointment scheduling is a hybrid task halfway between …

The automatic prediction of the quality of a dialogue is useful to keep track of a spoken
dialogue system's performance and, if necessary, adapt its behaviour. Classifiers and …

Reinforcement learning-based spoken dialogue systems aim to compute an optimal strategy
for dialogue management from interactions with users. They compare their different …

Incrementality as a way of managing the interactions between a dialogue system and its
users has been shown to have concrete advantages over the traditional turn-taking frame …

This article presents the design of a generic negotiation dialogue game between two or
more players. The goal is to reach an agreement, each player having his own preferences …