In this work, a spoken dialogue system architecture capable of dealing with Common Ground inconsistencies is proposed. Specifically, attention will be drawn upon the Conflict Search Graph, with insights on its ability to recognise problems and make them explicit via polar questions. Appropriate question forms are, indeed, adopted for the occurring type of common ground conflict, based on previous experiments, which showed that providing automatic dialogue systems with such grounding capabilities can lead to improved usability and naturalness. The described system architecture is, thus, able to detect conflicts and to use argumentation-based pragmatic strategies to signal them consistently with previous observations
Dialogue skills are crucial in everyday life, and machine learning tools that model and analyze data...
has to be able to carry out general chat conversations and domain specific discussions as well. The ...
The contribution of this paper is theoretical foundations for dialogical argument mining, as well as...
This paper aims at presenting a dialogue-oriented approach to the construction of a graph knowledge ...
In this paper, we present a data-driven approach for detecting instances of mis-communication in dia...
Computational models of grounding are extended to include representations of degrees of groundedness...
This paper presents a model of collaborative discourse which integrates problem-solving, discourse, ...
UnrestrictedSpoken dialogue systems -- computers that interact with humans through spoken conversati...
A wide array of natural dialogue discourse can be found on the internet. Previous attempts to automa...
Dialogue systems, also known as conversational agents, are intelligent computer systems which conver...
This paper argues for the use of more natural and flexible clarification questions in spoken dialogu...
International audienceThis paper presents a new framework for implementing a dialogue manager, makin...
Spoken natural language often contains ambiguities that must be addressed by a spoken dialogue syste...
This study proposes a semi-automatic approach aimed at detecting conflict in conversations. The appr...
This paper builds the profiles of dialogue tool into a fault diagnosis method that can be applied to...
Dialogue skills are crucial in everyday life, and machine learning tools that model and analyze data...
has to be able to carry out general chat conversations and domain specific discussions as well. The ...
The contribution of this paper is theoretical foundations for dialogical argument mining, as well as...
This paper aims at presenting a dialogue-oriented approach to the construction of a graph knowledge ...
In this paper, we present a data-driven approach for detecting instances of mis-communication in dia...
Computational models of grounding are extended to include representations of degrees of groundedness...
This paper presents a model of collaborative discourse which integrates problem-solving, discourse, ...
UnrestrictedSpoken dialogue systems -- computers that interact with humans through spoken conversati...
A wide array of natural dialogue discourse can be found on the internet. Previous attempts to automa...
Dialogue systems, also known as conversational agents, are intelligent computer systems which conver...
This paper argues for the use of more natural and flexible clarification questions in spoken dialogu...
International audienceThis paper presents a new framework for implementing a dialogue manager, makin...
Spoken natural language often contains ambiguities that must be addressed by a spoken dialogue syste...
This study proposes a semi-automatic approach aimed at detecting conflict in conversations. The appr...
This paper builds the profiles of dialogue tool into a fault diagnosis method that can be applied to...
Dialogue skills are crucial in everyday life, and machine learning tools that model and analyze data...
has to be able to carry out general chat conversations and domain specific discussions as well. The ...
The contribution of this paper is theoretical foundations for dialogical argument mining, as well as...