• MALSORI
• /
• no.56
• /
• pp.185-194
• /
• 2005

In this paper, we present POSSDM (POSTECH Situation-Based Dialogue Manager) for a spoken dialogue system using a new example and situation-based dialogue management technique for effective generation of appropriate system responses. Spoken dialogue system should generate cooperative responses to smoothly control dialogue flow with the users. We introduce a new dialogue management technique incorporating dialogue examples and situation-based rules for EPG (Electronic Program Guide) domain. For the system response inference, we automatically construct and index a dialogue example database from dialogue corpus, and the best dialogue example is retrieved for a proper system response with the query from a dialogue situation including a current user utterance, dialogue act, and discourse history. When dialogue corpus is not enough to cover the domain, we also apply manually constructed situation-based rules mainly for meta-level dialogue management.

• Proceedings of the KSPS conference
• /
• 2005.11a
• /
• pp.113-115
• /
• 2005

In this paper, we present POSSDM (POSTECH Situation-Based Dialogue Manager) for a spoken dialogue system using a new example and situation-based dialogue management techniques for effective generation of appropriate system responses. Spoken dialogue system should generate cooperative responses to smoothly control dialogue flow with the users. We introduce a new dialogue management technique incorporating dialogue examples and situation-based rules for EPG (Electronic Program Guide) domain. For the system response inference, we automatically construct and index a dialogue example database from dialogue corpus, and the best dialogue example is retrieved for a proper system response with the query from a dialogue situation including a current user utterance, dialogue act, and discourse history. When dialogue corpus is not enough to cover the domain, we also apply manually constructed situation-based rules mainly for meta-level dialogue management.

• Proceedings of the KSPS conference
• /
• 2006.11a
• /
• pp.109-112
• /
• 2006

This paper presents a dialogue interface using the dialogue management system as a method for controlling home appliances in Home Network Services. In order to realize this type of dialogue interface, we first investigated the user requirements for Home Network Services by analyzing the dialogues entered by users. Based on the analysis, we were able to extract 15 user intentions and 22 semantic components. In our study, example dialogues were collected from WOZ (Wizard-of-OZ) environment to implement a reasoning model for generating meaningful responses for example-based dialogue modeling technique. An overview of the Home Network Control System using proposed dialogue interface will be presented. Lastly, we will show that the Dialogue Management System trained with our collected dialogues behaves properly to achieve its task of controlling Home Network appliances by going through the steps of natural language understanding, response reasoning, response generation.

• Journal of Digital Convergence
• /
• v.5 no.1
• /
• pp.69-76
• /
• 2007

This paper presents a study on the introduction of User Model-Based Dialogue System. Also we present a plan-based Korean dialogue system as a natural language database user interface for product search. The system can be characterized by its support for mixed initiative to give user more control over dialogue, employment of user model to reflect user's preferences, alternative solution suggestion if there is no product matched exactly to user's requirements, handling circumlocution which frequently occurs in dialogues. The user modeling shell system BGP-MS is adapted for the system. The system provides for a user-friendly database user interface by managing dialogue intelligently. By its implementation and test, it has been shown that the user model-based dialogue system can be utilized effectively for product search.

• Proceedings of the KSPS conference
• /
• 2007.05a
• /
• pp.330-333
• /
• 2007

This paper presents a dialogue interface using the dialogue management system as a method for controlling home appliances in Home Network Services. In order to realize this type of dialogue interface, we annotated 96,000 utterance pair sized dialogue set and developed an example-based dialogue system. This paper introduces the automatic error correction module for the SMS-styled sentence. With this module we increase the accuracy of NLU(Natural Language Understanding) module. Our NLU module shows an accuracy of 86.2%, which is an improvement of 5.25% over than the baseline. The task completeness of the proposed SMS dialogue interface was 82%.

• 한국디지털정책학회:학술대회논문집
• /
• 2007.06a
• /
• pp.287-296
• /
• 2007

In this paper we present a plan-based Korean dialogue system as a natural language database user interface for product search. The system can be characterized by its support for mixed initiative to give user more control over dialogue, employment of user model to reflect user' spreferences, alternative solution suggestion if there is no product matched exactly to user's requirements, handling circumlocution which frequently occurs in dialogues. The user model ing shell system BGP-MS is adapted for the system. The system provides for a user-friendly database user interface bymanaging dialogue intelligently. By its implementation and test it has been shown that the user model-based dialogue system can be utilized effectively for product search.

• 한국디지털정책학회:학술대회논문집
• /
• 2004.11a
• /
• pp.75-85
• /
• 2004

• Journal of Korean language education
• /
• v.29 no.2
• /
• pp.73-100
• /
• 2018

The purpose of this study is to investigate learner-learner dialogue during speaking tasks. In the Korean language classroom, conversation between learners is an important activity as speaking practice. However, learner dialogue is also a tool to enable learners to collaboratively conduct various cognitive activities in the classroom. In previous research, it was unfolded that through learner-learner dialogue, learners can solve second-language related problems and set a goal to carry out tasks. Therefore, this study analyzed learner-learner dialogue to investigate what kinds of cognitive activities are activated during the role-play task. As a result, the learners collaboratively generated and monitored language and content for role play. Also, in order to accomplish tasks more successfully, learners shared the same understanding about the goal of the task, and tried to manage the task procedure. Through learner-learner dialogue, learners can participate in cognitive activities such as content, language construction, and task management voluntarily without the help from teachers. This means that learner-learner dialogue can be an activity to support language learning tasks. Also, it can make learners actively involved in learning and by sharing resources with each other. It is also important that learners can experience language use that participates in real-world communication activities, such as learning in the classroom and collaborating with peer learners. This study is an exploratory study for a basic understanding of learner's conversation as a cognitive activity, and the scope of the study is limited to clarifying contents of learner-learner dialogue as a cognitive activity in speaking tasks. Based on the findings of this study, future research should be conducted on the function of learner-learner dialogue as a cognitive activity in Korean language learning and its role in the classroom of Korean language education.

• Convergence Security Journal
• /
• v.11 no.2
• /
• pp.65-77
• /
• 2011

In Western Europo and the US, there has been a general trend over 30 years of reducing the amount of force by the police, through a paradigm shift from 'Escalated Force Model' towards 'Negotiated Management Model'. In tune with this trend, for example, the Swedish Police have implemented the uniformed 'Dialogue Police' system, in order to establish communication contact with demonstrators, before, during, and after their events, The Negotiated Management Model involves a greater respect for the rights of protesters, a more tolerant approach to community, and improved intelligence, communication, and flexibility, in order to facilitate lawful protests and to reduce the possibility of an escalation of major public disorder. The Korean National Police (KNP) appears to be operated within this negotiated management framework, since in preparation for the G20 Seoul Summit, they have also emphasized good communication between the police and protest groups, by newly creating the concept of 'Protest Policing Through Facilitation of Lawful Protests'. In this context, this study first attempts to analyze not only the negotiated management model, but also the Swedish dialogue police. Secondly, the study conducts a comparative study between the KNP's Protest Policing Through Facilitation of Lawful Protest and the Swedish dialogue police system, particularly, in conjunction with the negotiated management. Although Korean and western police have different system and history, protest policing model is now approaching with each other through a link between conflict resolution techniques, such as dialogue, negotiation, mediation and facilitation. Finally, the study is to prove if the KNP's protest policing model corresponds with the negotiated management model, and further to suggest new 'Facilitation of Conflict Resolution Model' as a desirable future of the KNP's protest policing.

• Journal of KIISE:Software and Applications
• /
• v.34 no.2
• /
• pp.123-130
• /
• 2007

In this paper, we present an example-based natural language dialogue system for Electronic Program Guide Information Access. We introduce an effective and practical dialogue management technique incorporating dialogue examples and situation-based rules. In order to generate cooperative responses to smoothly lead the dialogue with users, our natural language dialogue system consists of natural language understanding, dialogue manager, system utterance generator. and EPG database manager. Each module is designed and implemented to make an effective and practical natural language dialogue system. In particular, in order to reflect the up-to-date EPG information which is updated frequently and periodically, we applied a web-mining technology to the EPG database manager, which builds the content database based on automatically extracted information from popular EPG websites. The automatically generated content database is used by other modules in the system for building their own resources. Evaluations show that our system performs EPG access task in high performance and can be managed with low cost.