1,786 research outputs found

    A task ontology model for domain independent dialogue management

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    Dialogue systems have been a rapidly growing area in both scientific research and commercial application since 1990s. They can be applied in various fields, such as business, healthcare and education, etc. Due to its complexity, the design and development of a dialogue system is time consuming and costly. It is highly desirable for a generic dialogue system, especially dialogue management that is independent of specific domains. Methods or architecture for domain independent dialogue systems have been proposed by previous research in literature, however each of them has its own limitations and none has been widely adopted. This paper presents a new approach, a task ontology model for domain independent dialogue management. An abstract task ontology model is developed and based on this model a generic dialogue manager is created. Knowledge about a specific task is modeled in its task ontology and retrieved by an ontology reasoning component situated in the dialogue manager. Thus the dialogue manager is task or domain independent. A dialogue system is developed based on the proposed method and experimented with two different tasks: the book borrowing and the online train ticket booking. The experiment results indicate that the dialogue system can be readily applied to tasks from different domains without any modification. This paper has implications on future research and development of domain independent dialogue systems. It also contributes to the knowledge and dialogue system reuse and will have impact on the application of dialogue systems in a wider range of areas

    Adaptable dialogue architecture and runtime engine (AdaRTE): A framework for rapid prototyping of health dialog systems

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    International audienceSpoken dialog systems have been increasingly employed to provide ubiquitous access via telephone to information and services for the non-Internet-connected public. They have been successfully applied in the health care context; however, speech technology requires a considerable development investment. The advent of VoiceXML reduced the proliferation of incompatible dialog formalisms, at the expense of adding even more complexity. This paper introduces a novel architecture for dialogue representation and interpretation, AdaRTE, which allows developers to lay out dialog interactions through a high-level formalism, offering both declarative and procedural features. AdaRTE's aim is to provide a ground for deploying complex and adaptable dialogs whilst allowing experimentation and incremental adoption of innovative speech technologies. It enhances augmented transition networks with dynamic behavior, and drives multiple back-end realizers, including VoiceXML. It has been especially targeted to the health care context, because of the great scale and the need for reducing the barrier to a widespread adoption of dialog systems

    FOR A KANTIAN FOUNDATION OF IS RESEARCH: PROPOSALS FOR AN EPISTEMOLOGICAL PLURALISM

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    How to Make chatbots productive – A user-oriented implementation framework

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    Many organizations are pursuing the implementation of chatbots to enable automation of service processes. However, previous research has highlighted the existence of practical setbacks in the implementation of chatbots in corporate environments. To gain practical insights on the issues related to the implementation processes from several perspectives and stages of deployment, we conducted semi-structured interviews with developers and experts of chatbot development. Using qualitative content analysis and based on a review of literature on human computer interaction (HCI), information systems (IS), and chatbots, we present an implementation framework that supports the successful deployment of chatbots and discuss the implementation of chatbots through a user-oriented lens. The proposed framework contains 101 guiding questions to support chatbot implementation in an eight-step process. The questions are structured according to the people, activity, context, and technology (PACT) framework. The adapted PACT framework is evaluated through expert interviews and a focus group discussion (FGD) and is further applied in a case study. The framework can be seen as a bridge between science and practice that serves as a notional structure for practitioners to introduce a chatbot in a structured and user-oriented manner

    Question Generation based on Lexico-Syntactic Patterns Learned from the Web

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    THE MENTOR automatically generates multiple-choice tests from a given text. This tool aims at supporting the dialogue system of the FalaComigo project, as one of FalaComigo's goals is the interaction with tourists through questions/answers and quizzes about their visit. In a minimally supervised learning process and by leveraging the redundancy and linguistic variability of the Web, THE MENTOR learns lexico-syntactic patterns using a set of question/answer seeds. Afterward, these patterns are used to match the sentences from which new questions (and answers) can be generated. Finally, several ï¬lters are applied in order to discard low quality items. In this paper we detail the question generation task as performed by T- Mand evaluate its performance
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