• MALSORI
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• no.56
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• pp.185-194
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• 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.

• Korean Journal of Cognitive Science
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• v.10 no.2
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• pp.27-34
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• 1999

The main purpose of this paper is to propose a general dialogue flow in 'the a appointment scheduling dialogues' in German using the concept of dialogue acts. A basic a assumption of this research is that dialogue acts contribute to the improvement of a translation system. They might be very useful to solve the problems that syntactic and semantic module could not resolve using contextual knowledge. The classification of the dialogue acts was conducted as a work of VERBMOBIL project and was based on real dialogues transcribed by experts. The real dialogues were analyzed in terms of the dialogue acts. We empirically analyzed the sequences of the dialogue acts not only in a series of dialogue turns but also in one dialogue turn. We attempted to analyZe the sequences in one dialogue turn additionally because the dialogue data used in this research showed some difference from the ones in other existing researches. By examining the sequences in dialogue acts. we proposed the dialogue flowchart in 'the a appointment scheduling dialogues' 'Based on the statistical analysis of the sequences of the most frequent dialogue acts. the dialogue flowcharts seem to represent' the a appointment scheduling dialogues' in general. A further research is required on c classification of dialogue acts which was a base for the analysis of dialogues. In order to e extract the most generalized model. we did not subcategorize each dialogue acts and used a limited number of items of dialogue acts. However. generally defined dialogue acts need to be defined more concretely and new dialogue acts for specific situations should be a added.

• Journal of KIISE:Software and Applications
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• v.35 no.1
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• pp.33-40
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• 2008

In this paper, we propose a method to enhance adaptability in a dialogue system using the reinforcement learning that reduces response errors by trials and error-search similar to a human dialogue process. The adaptive dialogue strategy means that the dialogue system improves users' satisfaction and dialogue efficiency by loaming users' dialogue styles. To apply the reinforcement learning to the dialogue system, we use a main-dialogue span and sub-dialogue spans as the mathematic application units, and evaluate system usability by using features; success or failure, completion time, and error rate in sub-dialogue and the satisfaction in main-dialogue. In addition, we classify users' groups into beginners and experts to increase users' convenience in training steps. Then, we apply reinforcement learning policies according to users' groups. In the experiments, we evaluated the performance of the proposed method on the individual reinforcement learning policy and group's reinforcement learning policy.

• English Language & Literature Teaching
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• v.16 no.3
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• pp.291-315
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• 2010

The present study examined the role of dialogue journaling in Korean students' English writing development. Thirteen Korean middle school students participated in a five-week dialogue journal writing program. The participants' English writing skills before and after their dialogue journaling were compared in terms of holistic and analytical scores of their English essays. The study also examined the changes in the participants' language use, as manifested in their dialogue journals. The results indicated the positive influence of dialogue journal writing on the participants' English writing skills in the areas of content and lexical fluency. As for the linguistic evidence that related dialogue journaling to English writing development, the three patterns of change in language use emerged from the participants' dialogue journals: a) raised awareness on grammar conventions, b) raised awareness on discourse conventions, and c) increased depth and richness in idea development. There were also three unhelpful factors associated with little improvement of English writing: a) lack in basic writing skills, b) repetitive use of identical sentence patterns, and c) lack in grammatical and lexical awareness. Overall, the results suggested that dialogue journaling could facilitate Korean students' English writing development when it creates authentic communicative interactions between the teacher and students.

• The Journal of the Korea Contents Association
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• v.4 no.4
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• pp.1-10
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• 2004

Dialogue speech corpora that contain sufficient dialogue speech features are needed for performance assessment of a spoken language dialogue system. And labeling information of dialogue speech corpora plays an important role for improvement of recognition rate in acoustic and language models. In this paper, we examine the methods by which labeling information of dialogue speech corpora can be structured. More specifically, we examined how to represent features of dialogue speech in a structured document based XML and how to design the repository system of the information.

• Korean Journal of Childcare and Education
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• v.12 no.2
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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.

• MALSORI
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• no.43
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• pp.11-23
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• 2002

In this paper, speech style is divided into two - read speech and dialogue. In the experiment, read speech and dialogue use the same sentence to control discrepancy from different sentence. While the number of AP in read speech is less than in dialogue, the number of IP in read speech is more than in dialogue. The number of syllables which consist of AP is more various in dialogue. Intonational patterns of the first AP in IP make a difference. In dialogue, there is a pattern which has many high tones - LHH. The FO range in dialogue is wider than in read speech.

• MALSORI
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• v.68
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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.

• The KIPS Transactions:PartB
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• v.9B no.6
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• pp.817-826
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• 2002

In Korean dialogue honorification phenomenon may occur, an honorific pronoun may be used, and a subject or an object may be completely omitted when it can be recovered based on context. This paper proposes that in order to process Korean dialogue in which such distinct linguistic phenomena occur and to construct its representation structure we mark and use the following information explicitly, not implicitly : information about dialogue participants, information about the speech act of an utterance, information about the relative order of social status for the people involved in dialogue, and information flow among utterances of dialogue. In addition, this paper presents a method of marking and using such situational information and an appropriate representation structure of Korean dialogue. In this paper we set up Korean dialogue representation structure by modifying and extending DRT (Discourse Representation Theory) and SDRT (Segmented Discourse Representation Theory). Futhermore, this paper shows how to process Korean dialogue computationally and construct its representation structure by using Prolog programming language, and then applies such representation structure to spontaneous Korean dialogue to know its validity.

• Journal of Broadcast Engineering
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• v.27 no.5
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• pp.685-693
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• 2022

The Metaverse is getting popular due to the demands for digital transformation and non-contact communication platforms. A conversation system which facilitates communication is not widely applied yet in Metaverse. In this work, we present a method that revises primitive dialogue state using circumstance information from Metaverse. The presented model that leverages both dialogue and circumstance information consists of a dialogue state tracking module and a circumstance state tracking module. In the model, a dialogue state is updated with an algorithm which compares a dialogue state and a circumstance state. As a conversation that reaffirms user intent is added, a wrong dialogue state can be revised and the accuracy of a conversation system can be improved.