• 대한음성학회지:말소리
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• 제68권
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• pp.75-93
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• 2008

An example-based dialogue system tries to utilize many pairs which are stored in a dialogue database. The most important part of the example-based dialogue system is to find the most similar utterance to user's input utterance. Modality, which is characterized as conveying the speaker's involvement in the propositional content of a given utterance, is one of the core sentence features. For example, the sentence "I want to go to school." has a modality of hope. In this paper, we have proposed a modality classification system which can predict sentence modality in order to improve the performance of example-based dialogue systems. We also define a modality tag set for a dialogue system, and validate this tag set using a rule-based modality classification system. Experimental results show that our modality tag set and modality classification system improve the performance of an example-based dialogue system.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2004년도 추계학술대회 논문집
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• pp.1202-1206
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• 2004

In the future, a machine-tool will be more improved in the form of a knowledge evolution based device. In order to develop the knowledge evolution based machine-tool, this paper proposes the structure of knowledge evolution and the scheme of a dialogue agent among agent-based modules such as a sensory module, a dialogue module, and an expert system. The dialogue agent has a role of interfacing with another machine for cooperation. To design of the dialogue agent module in M2M(Machine To Machine) environment, FIPA-OS and ping agent based on FIPA-OS are analyzed in this study. Through this, it is expected that the dialogue agent module can be more efficiently designed and the knowledge evolution based machine-tool can be hereafter more easily implemented.

• 한국콘텐츠학회논문지
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• 제4권4호
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• pp.1-10
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• 2004

음성인식의 연구 대상은 낭독음성에서 대화음성으로 발전해가고 있다. 이를 위해서는 대량의 대화코퍼스가 필요하다. 그러나 아직 충분한 양의 대화코퍼스가 구축되어 있지 못하며 코퍼스의 주석 정보 또한 복잡하고 다양하게 표현하고 있어 효율적인 활용이 어렵다. 따라서 본 논문에서는 TEI를 기반으로 하여 대화 영역을 텔레뱅킹으로 설정하고 대화코퍼스를 구축하여 구축된 대화코퍼스의 주석 정보를 XML(extensible Markup Language)로 표준화할 수 있도록 DTD (Document Type Definition) 정의하고 저장 시스템을 설계하였다.

• 방송공학회논문지
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• 제27권5호
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• pp.685-693
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• 2022

디지털 전환과 비대면 소통 플랫폼에 대한 요구로 메타버스가 주목받고 있지만, 원활한 의사소통을 돕는 대화 시스템이 아직 메타버스에서는 널리 적용되지 않았다. 본 연구에서는 메타버스에 대화 시스템을 적용하는 경우 메타버스에서의 주변 상황에 대한 정보를 이용하여 기존의 대화 상태를 수정하는 방법을 제안한다. 대화와 상황에 대한 정보를 모두 활용하는 본 모델은 대화 상태를 추적하는 모듈과 상황 상태를 추적하는 모듈, 그리고 추적한 상황 상태와 대화 상태를 비교하여 수정하는 알고리즘으로 구성된다. 사용자의 의도를 재확인하는 대화가 추가됨에 따라 잘못된 대화 상태를 수정할 수 있고, 대화 시스템의 정확도 향상이 가능하다.

• 인지과학
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• 제19권2호
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• pp.107-123
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• 2008

대화 시스템에 관한 기존 연구는 실용시스템을 위한 연구와 대화 현상 이해에 중심을 둔 연구로 나눌 수 있다. 전자는 실제 환경에서 강인한 성능을 유지하는 것에 초점을 두고 있다. 하지만 매우 제한적인 상황에서만 성능을 보장할 수 있으며 다양한 형태의 대화를 적용하기 어렵다. 후자의 연구에서는 대표적으로 계획기반 모델(plan-based model)이 제안되었는데, 이 모델은 복잡한 대화 구조를 모델링(modeling)할 수 있으며, 다양한 현상에서의 사용자 목적 추론이 가능하다. 하지만 계획기반 모델은 초기 설계가 어렵고 실용적인 대화 시스템 구축에 있어서 시스템 응답을 생성하기 위한 상호작용 모델로의 확장이 매우 어렵기 때문에 실용시스템으로의 적용이 쉽지 않다. 본 연구는 이러한 계획기반 모델의 단점을 보완하고 실용적인 대화 시스템을 구축하기 위하여, 시스템 응답을 위한 확인 대화 전략과 담화스택(discourse stack)을 계획기반 대화 모델에 적용함으로써 효율적인 응답을 생성할 수 있는 새로운 기법을 제안한다.

• 한국어교육
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• 제29권2호
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• pp.73-100
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• 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.

• 인지과학
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• 제17권2호
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• pp.139-150
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• 2006

음성 대화 시스템에서 음성 인식 오류는 전체 시스템의 치명적인 결과를 초래한다. 음성 인식 오류가 부분적으로 발생하여 화행 분석이 실패했을 때 시스템은 원활한 대화를 진행할 수 없다. 본 논문은 양식 채우기 대화 형식에서 발생하는 음성 인식 오류 유형에 따라 시스템이 사용자 발화의 화행을 추론하기 위한 부대화 생성 전략을 제안한다. 제안하는 방법을 계획기반 대화 모델로 구현하여 실험하였고, 사용자 작업 실패 오류의 약27%를 보완하여 성능을 향상시켰으며 전체 시스템의 사용자 작업 성공률은 약 89%이다.

• 한국보육지원학회지
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• 제12권2호
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• pp.143-165
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• 2016

The purpose of this study is to examine how the opportunities of close emotional support and communication provided by child-teacher dialogue journal writing activities are meaningful to the three subjects of early childhood education, children, teacher, and parents, and provide implications about how to utilize child-teacher dialogue journal writing activities in the field of education properly. According to the findings, first, to children, child-teacher dialogue journal writing activities are meaningful as asecret time between them and their teacher, time that their teacher pays keen attention to them, and time to enhance confidence. Second, to teachers, child-teacher dialogue journal writing activities are meaningful as aspecial time to be with children, time to understand children, and time to reflect on their educational process and figure out proper teaching or supporting methods. Third, to parents, child-teacher dialogue journal writing activities are meaningful in a way in which they can understand moreabout their children and is a meaningful time to plan and provide proper care upon their children's wishes or needs.

• 전자공학회논문지B
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• 제33B권3호
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• pp.159-168
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• 1996

In this paper, the natural language dialogue understanding sytem, based on discourse information and plan recognition, is designed and implemented. The system needs to analyze the user's input utterance and acquire the discoruse information to perform plan recognition and facilitate cooperative response. This paper proposes the mehtod of controlling a dialogue, based on the algorithm for extracting the discourse information. When the discourse information for dialogue understanding is extracted, the information-based value in feature structure that is obtained form korean parser is used. And the system makes use of the structure. Thus it can offer the response that the user wants to take, and let the dialogue to study in utterance level and enhance the efficiency of dialogue understanding. In this paper, we apply the system to the hotel reservation domain and show the mehtod of using the discoruse information to control the dialogue.

• 디지털융복합연구
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• 제5권1호
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• pp.69-76
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• 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.