• Journal of Broadcast Engineering
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• v.24 no.1
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• pp.48-57
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• 2019

The purpose of this study is to understand the intention of the inquirer from the single text type question in Goal-oriented dialogue. Goal-Oriented Dialogue system means a dialogue system that satisfies the user's specific needs via text or voice. The intention analysis process is a step of analysing the user's intention of inquiry prior to the answer generation, and has a great influence on the performance of the entire Goal-Oriented Dialogue system. The proposed model was used for a daily chemical products domain and Korean text data related to the domain was used. The analysis is divided into a speech-act which means independent on a specific field concept-sequence and which means depend on a specific field. We propose a classification method using the word embedding model and the CNN as a method for analyzing speech-act and concept-sequence. The semantic information of the word is abstracted through the word embedding model, and concept-sequence and speech-act classification are performed through the CNN based on the semantic information of the abstract word.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.04a
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• pp.523-526
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• 2002

본 논문은 한국어대화에는 주어나 목적어와 같은 구성요소의 빈번한 생략, 존대현상, 존대대명사의 사용 등의 특이한 현상이 나타나는 것을 지적하고, 이러한 한국어대화를 처리하기 위해서는 대화참석자에 관한 정보, 발화문의 화행에 관한 정보, 대화에 관련된 사람들의 사회적 지위에 있어서의 상대적 순위에 관한 정보 등의 상황정보와 정보의 흐름을 이용해야만 한다고 주장한다. 또한, 본 논문은 이러한 상황정보를 전산적으로 어떻게 표기해서 입력하고 한국어대화의 표상구조를 어떠한 형태로 구축하는 것이 타당한지도 자세히 보여 준다.

• Journal of architectural history
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• v.1 no.1 s.1
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• pp.255-266
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• 1992

The Main concern of this thesis is on the possibility to apply Hermeneutics to architectural history, with a view point that the past architecture can be seen as a text, this study analyse the relationship between the past building and interpreter, the epistenological tool for interpretation and historian. After reviewing the characteristics of architectural history with regard to text theory, this study can lead to the conclusion that the interpretation of past architecture can be defired as dynamic dialogue which depend upon the time.

• The Journal of Art Theory & Practice
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• no.16
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• pp.71-103
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• 2013

This paper explores the key figure of minjung misul ("the people's art"), Kim Bongjun, and the art collective Dureong in the relationship between 'dialogue' and the dissidents' structural critique of Korea's modernities. During the 1980s' prodemocracy movement, the minjung artists and other dissident intellectuals used the notion of dialogue as metaphor for and allegory of democracy to articulate not only Koreans' experience of modern history, which they saw as "alienating" and "inhumane," but also the discrepancies between Koreans' predicaments and their political aspirations and their working toward the fulfillment of those ideals. Envisioning alternative forms of modernities, Kim Bongjun and other Dureong members paid attention to the fundamental elements of art, which consist of art as a modern institution, as well as the everyday lives of people as the very site of Koreans' modernities. They endeavored to create "art of life," which presumes its being part of people's lives, based on the cultural and spiritual traditions of the agrarian community. They also participated in the national culture movement, the minjung church, and the alternative-life movement to radically envision everyday lives through the indigenous reinterpretation of democratic values. Despite the significant role played by the church mission and its community involvement, its effects on minjung misul have received little attention in the relevant studies. Thus, I consider in particular the minjung church's and the alternative-life movement's confluence of multiple cultural and social constituencies in relation to Kim and the Dureong collective's vision of a new art and community.

• The Journal of the Korea Contents Association
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• v.7 no.2
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• pp.150-160
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• 2007

In the actual classroom the so-called flow learning is able to motivate the students through face-to-face feedback, and to meet their needs for educational achievement. By contrast, the so-called e-learning method falls short of the satisfactory level of real-life interaction, which makes many learners drop out or give up on their learning. In order to better the e-learning environment, this study presents a dialogue-based feedback system that improves the flow learning of the learners' in the classroom. This newly developed system was applied at the actual school. The result is that the experimented group improved its flow learning, compared with the controlled group. In the former group, each individual showed some consciousness of objective and challenge following the concrete feedback. That is to say, this system enhances the attitude of an active participation and induces the flow learning, thanks to the dialogue-based feedback and the sustained interest in learning. In conclusion, the significance of this study lies in suggesting the direction of a new learning method development in the e-learning environment.

• Journal of The Korean Association of Information Education
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• v.9 no.4
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• pp.673-684
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• 2005

In this research, we have developed a "computer tutor" that mimics the human tutor with animated tutoring dialog agent and the agent was integrated to teaching-learning material for elementary science subject. The developed system is a natural language based teaching-learning system using one-to-one dialogue. The developed pedagogical dialogue teaching-learning system analysis student's answer then provides appropriate answer or questions after comparing the student's answer with elementary school level achievement. When the agent gives either question or answer it uses the TTS(Text-to-Speech) function. Also the agent has an animated human tutor face for providing more human like feedback. The developed dialogue interface has been applied to 64 6th grade students. The test results show that the test group's average score is higher than the control group by 10.797. This shows that unlike conventional web courseware, our approach that "ask-answer" process and the animated character, which has human tutor's emotional expression, attracts students and helps to immerse to the courseware.

• Korean Journal of Cognitive Science
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• v.21 no.4
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• pp.459-480
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• 2010

A dialogue system includes various morphological analyses for recognizing a user's intention from the user's utterances. However, a user can represent various intentions via emotional states in addition to morphological expressions. Thus, a user's emotion recognition can analyze a user's intention in various manners. This paper presents a new method to automatically recognize a user's emotion for a dialogue system. For general emotions, we define nine categories using a psychological approach. For an optimal feature set, we organize a combination of sentential, a priori, and context features. Then, we employ a support vector machine (SVM) that has been widely used in various learning tasks to automatically classify a user's emotions. The experiment results show that our method has a 62.8% F-measure, 15% higher than the reference system.

• Journal of the Korea Society of Computer and Information
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• v.13 no.7
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• pp.59-66
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• 2008

This paper describes a novel method for identifying the main topic and detecting topic changes in a text-based dialogue as in Instant Messaging (IM). Compared to other forms of text, dialogues are uniquely characterized with the short length of text with small number of words, two or more participants, and existence of a history that affects the current utterance. Noting the characteristics, our method detects the main topic of a dialogue by considering the keywords not only the utterances of the user but also the dialogue system's responses. Dialogue histories are also considered in the detection process to increase accuracy. For topic change detection, the similarity between the former utterance's topic and the current utterance's topic is calculated. If the similarity is smaller than a certain threshold, our system judges that the topic has been changed from the current utterance. We obtained 88.2% and 87.4% accuracy in topic detection and topic change detection, respectively.

• Journal of Christian Education in Korea
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• v.72
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• pp.25-48
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• 2022

This essay is a critical study of the three models of practical theology that emerged in the second half of the 20th century: the critical correlational model (Sherrill, Browning), the hermeneutical model (Groome, Gerkin), and the faith community formation model (Westerhoff, Campbell). This essay first explores the central ideas of practical theologians who adhere to each of the three models and focuses on Christian education, pastoral counseling, and homiletics. This essay then critically evaluates the three models in accordance to the following four themes: how practical theology has 1) responded to the challenges of postmodernity, 2) engaged in dialogue with different types of theology, 3) participated in interdisciplinary dialogue, and 4) understood Christian practice. In conclusion, this essay suggests that the essential tasks of contemporary Christian education as practical theology include: 1) providing an active response to many challenges of postmodern, postsecular, postdigital, and posthuman era, 2) engaging in interactive dialogue with diverse forms of theology, and 3) facilitating interdisciplinary dialogue based on transversal rationality, and 4) establishing of the concept of Christian practice at the individual, ecclesial, social, public, ecological, and digital levels.

• The Journal of the Acoustical Society of Korea
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• v.28 no.1
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• pp.61-69
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• 2009

This paper presents an improved method measuring inter-utterance similarity in an example-based dialogue system, which searches the most similar utterance in a dialogue database to generate a response to a given user utterance. Unlike general inter-sentence similarity measures, the inter-utterance similarity measure for example-based dialogue system should consider not only word distribution but also various linguistic features, such as affirmation/negation, tense, modality, sentence type, which affects the natural conversation. However, previous approaches do not sufficiently reflect these features. This paper proposes a new utterance similarity measure by analyzing and reflecting various linguistic features to improve performance in accuracy. Also, by considering substitutability of the features, the proposed method can utilize limited number of examples. Experimental results show that the proposed method achieves 10%p improvement in accuracy compared to the previous method.