A case based reasoning model for multilingual language generation in dialogues

Salazar, Víctor López; Cabeza, Eduardo M. Eisman; Peña, Juan Luis Castro; López, José Manuel Zurita

doi:10.1016/j.eswa.2012.01.085

Cited by 10 publications

(3 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As the decision is represented abstractly, the goal is to transform it into one or more sentences in text format that must be grammatically and semantically correct, as well as coherent with the current status of the dialogue (Lemon, 2011;López, Eisman, Castro, & Zurita, 2012). Several approaches can be found in the literature for this purpose.…”

Section: Natural Language Generationmentioning

confidence: 99%

Review of spoken dialogue systems

López-Cózar

Callejas

Griol

et al. 2014

loquens

View full text Add to dashboard Cite

Spoken dialogue systems are computer programs developed to interact with users employing speech in order to provide them with specific automated services. The interaction is carried out by means of dialogue turns, which in many studies available in the literature, researchers aim to make as similar as possible to those between humans in terms of naturalness, intelligence and affective content.In this paper we describe the fundaments of these systems including the main technologies employed for their development. We also present an evolution of this technology and discuss some current applications. Moreover, we discuss development paradigms, including scripting languages and the development of conversational interfaces for mobile apps.The correct modelling of the user is a key aspect of this technology. This is why we also describe affective, personality and contextual models. Finally, we address some current research trends in terms of verbal communication, multimodal interaction and dialogue management.Keywords: dialogue; language understanding; dialogue management; natural language generation; speech synthesis. RESUMEN:Sistemas de diálogo: una revisión.-Los sistemas de diálogo son programas de ordenador desarrollados para interaccionar con los usuarios mediante habla, con la finalidad de proporcionarles servicios automatizados. La interacción se lleva a cabo mediante turnos de un tipo de diálogo que, en muchos estudios existentes en la literatura, los investigadores intentan que se parezca lo más posible al diálogo real que se lleva a cabo entre las personas en lo que se refiere a naturalidad, inteligencia y contenido afectivo.En este artículo describimos los fundamentos de esta tecnología, incluyendo las tecnologías básicas que se utilizan para implementar este tipo de sistemas. También presentamos una evolución de la tecnología y comentamos algunas aplicaciones actuales. Asimismo, describimos paradigmas de interacción, incluyendo lenguajes de script y desarrollo de interfaces conversacionales para aplicaciones móviles.Un aspecto clave de esta tecnología consiste en realizar un correcto modelado del usuario. Por este motivo, discutimos diversos modelos afectivos, de personalidad y contextuales. Finalmente, comentamos algunas líneas de investigación actuales relacionadas con la comunicación verbal, interacción multimodal y gestión del diálogo.Palabras clave: diálogo; comprensión del lenguaje; gestión del diálogo; generación del lenguaje natural; síntesis del habla.

show abstract

Section: Natural Language Generationmentioning

confidence: 99%

Review of spoken dialogue systems

López-Cózar

Callejas

Griol

et al. 2014

loquens

View full text Add to dashboard Cite

show abstract

“…We refer to (Cook et al, 2010) and (Kenny and Parsons, 2011) for a recent overview of VP systems. Although most systems are available for English, there are VPs for other languages (López Salazar et al, 2012). The PatientGenesys system is one of the few for the French-speaking community.…”

Section: Previous Work and Motivationmentioning

confidence: 99%

Description of the PatientGenesys Dialogue System

Llanos

Bouamor

Bilinski

et al. 2015

Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue

View full text Add to dashboard Cite

show abstract

“…the research on CBR mechanism has become a hot topic in the field of artificial intelligence because of its advantages in short reasoning time and easy case learning ability. Some works applied CBR to HRI [1], [2] and multirobot coordinated navigation [3]. Our previous work [4] and [5], applied CBR to the real-time autonomous navigation and obstacle avoidance of a mobile robot.…”

mentioning

confidence: 99%

A Human–Robot-Environment Interactive Reasoning Mechanism for Object Sorting Robot

Lin

Min

Zhou

et al. 2018

IEEE Trans. Cogn. Dev. Syst.

View full text Add to dashboard Cite

In this paper, we design an object sorting robot system, which is based on robot operating system distributed processing framework. This system can communicate with human beings; can percept the 3-D environment by Kinect sensor; has the ability of reasoning; can transfer the natural language intention to machine instruction to control the movement of manipulator. In particular, in order to improve the intelligence and usability of our robot, we propose a human-robot-environment interactive reasoning mechanism. In our method, a "dialogue and 3-D scene interaction module" is added into the traditional case-based reasoning-belief-desireintention mechanism. Our proposed mechanism not only realizes the traditional function of map matching but also achieves the function of desire analysis and guidance. When the user's desire is incomplete and/or mismatched with the actual scene, our robot will take the initiative to guide users through dialogue, and the user's input information will be used to replenish the user's desire. Experimental results prove the advantages of our mechanism.Index Terms-Belief-desire-intention (BDI) mechanism, casebased reasoning (CBR) mechanism, human-robot-environment interaction, object sorting robot, reasoning mechanism. I. INTRODUCTIONM ANY new kinds of intelligent service robot systems are emerging in these days. These systems have a common characteristic that the robot could collaborate with humans to accomplish tasks in an unstructured environment with a flexible manipulator. Such a system needs to be capable of environmental perception, human-robot interaction (HRI), target recognition, knowledge reasoning, trajectory planning and grabbing, etc. Among the requirements, the reasoning mechanism is the core of the entire system, the brain of an intelligent robot that determines the degree of that intelligence.The classic reasoning mechanisms include rule-based reasoning (RBR), procedural reasoning system, knowledge-based reasoning, and case-based reasoning (CBR). Among them,

show abstract

A case based reasoning model for multilingual language generation in dialogues

Cited by 10 publications

References 15 publications

Review of spoken dialogue systems

Review of spoken dialogue systems

Description of the PatientGenesys Dialogue System

A Human–Robot-Environment Interactive Reasoning Mechanism for Object Sorting Robot

Contact Info

Product

Resources

About