• 제목/요약/키워드: 담화모델

검색결과 44건 처리시간 0.023초

Coherence and Relevance Principle in Discourse Interpretation (담화 해석의 결속성 및 적합성 원리)

  • HyonHoLee
    • Korean Journal of Cognitive Science
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    • 제3권1호
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    • pp.113-137
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    • 1991
  • Coherence and relevaned concern the ways in which discouse is interpreted.In this inversigation, the notions of coherence and relevance are discussed with examples in which they account for discourse interpretation and Charolles's(1983)procedural model of coherence is compared and combined with Sperber & Wilson's(1986a)Principle of Relevance. It is shown that the notion of coherence is not adeqiately established, but that the procedural approach will be a bridge between the prinxiples of coherence and relevance, each of which still remainas to be enriched and completed.

Recent Research Trends in Dementia Discourse : Tasks, Transcription and Measures (치매환자 담화분석의 최근 연구동향 : 과제, 전사 및 측정요인)

  • Kim, Bo Seon;Kim, HyangHee
    • The Journal of the Korea Contents Association
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    • 제15권9호
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    • pp.351-363
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    • 2015
  • Discourse analysis is useful for examining discourse characteristics of dementia patients and differentiating them from normal adults. However, inconsistent tasks, transcription methods and measures have been utilized, thus analyses were inevitably unsystematic. The purpose of this study was to investigate tasks, transcription methods and measures of discourse studies in dementia. Studies on dementia discourses written in English were collected via Scopus database containing abstracts and citations from 2005 to 2014, and were analyzed in detail. From the results, the most frequently used task was 'storytelling-topic'. It was observed that use of consistent transcription conventions rendered more reliable transcription data. Measures could be categorized into coherence, cohesion, productivity, propositional syntactic lexical analysis, and fluency, and each category belonged to discourse processing levels (i.e., processing of conceptual networks, propositions, and natural language units). In conclusion, future research warrants not only utilization of discourse tasks depending on dementia types and features, but also application of consistent transcription conventions. Additionally, measures based on the discourse processing theory would enable us to systematically interpret discourse studies.

Contrastive Information Processing in Discourse Comprehension

  • Lee Jung-Mo;Lee Jae-Ho
    • Korean Journal of Cognitive Science
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    • 제16권2호
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    • pp.69-92
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    • 2005
  • A brief survey of linguistic studies on the nature of contrastive information in discourse was Presented first, and an attempt was also made to incorporate the Linguistic theories and concepts about contrast in discourse into a psychological framework. A tentative model of processing of contrastive information in discourse was Proposed, and eight experimental studies on the effects of contrastive information on comprehension and memory of short and ions discourses were reviewed. Experimental results showed that contrastive sentences took more time to process at encoding, and yet were recognized faster and cued-recalled in greater amount than noncontrastive sentences. It was also found that levels of contrast in the discourse structure have some effects on encoding time. It was further found that the sentence immediately following the contrastive sentence was processed slowly regardless of whether it does or does not resolve the contrast. The implications of the results of empirical studies were discussed in relation to developing a research framework that integrate coherence studies and contrast studies urns the two disciplines of linguistics and cognitive psychology.

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Comparison of Three Preservice Elementary School Teachers' Simulation Teaching in Terms of Data-text Transforming Discourses (Data-Text 변형 담화의 측면에서 본 세 초등 예비교사의 모의수업 시연 사례의 비교)

  • Maeng, Seungho
    • Journal of Korean Elementary Science Education
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    • 제41권1호
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    • pp.93-105
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    • 2022
  • This study investigated the aspects of how three preservice elementary school teachers conducted the data-text transforming discourses in their science simulation teaching and how their epistemological conversations worked for learners' construction of scientific knowledge. Three preservice teachers, who had presented simulation teaching on the seasonal change of constellations, participated in the study. The results revealed that one preservice teacher, who had implemented the transforming discourses of data-to-evidence and model-to-explanation, appeared to facilitate learners' knowledge construction. The other two preservice teachers had difficulty helping learners construct science knowledge due to their lack of transforming discourses. What we should consider for improving preservice elementary school teachers' teaching competencies was discussed based on a detailed comparison of three cases of preservice teachers' data-text transforming.

Korean Speech Act Analysis Using Decision Tree (결정트리를 이용한 한국어 화행 분석)

  • Lee, Song-Wook;Seo, Jung-Yun
    • Annual Conference on Human and Language Technology
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    • 한국정보과학회언어공학연구회 1999년도 제11회 한글 및 한국어 정보처리 학술대회
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    • pp.377-381
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    • 1999
  • 담화 분석에서 화자의 의도와 대화의 흐름을 이해하기 위해서 화행 분석이 중요하다. 최근에 대화 말뭉치를 이용하여 화행을 결정하는 방법들이 많이 연구되어 왔다. 발화 특성 정보를 이용한 통계적 화행 분석과 담화 구조를 최대 엔트로피 모델에 적용한 연구가 있었다. 그러나 이러한 연구에서 발화의 어떤 특성 정보가 실제 화행 결정에 중요한 역할을 하는지 알기가 어렵다. 그러나 결정 트리를 이용한 본 연구는 결정트리의 분리자를 통해 어떤 정보들이 화행결정에 영향을 끼치는지 알 수 있다는 장점이 있다. 본 연구는 결정트리를 이용하여 화행을 결정하였으며, 현재 발화의 이전 발화 정보만을 고려한 bigram, 이전 두 발화의 화행을 고려한 trigram, 또한 담화 구조를 고려한 trigram 모델을 비교 분석하였다.

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Linguistische Probleme in der maschinellen Ubersetzung - Topik und Fokus - (기계번역에 있어서 언어학적인 문제점 -주제어와 초점어를 중심으로-)

  • Oh Young-Hun
    • Koreanishche Zeitschrift fur Deutsche Sprachwissenschaft
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    • 제7집
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    • pp.43-60
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    • 2003
  • 오늘날 기계번역 Maschinelle Ubersetzung은 가속적인 발전선상에 놓여있다. 지난 10년 간 컴퓨터로 영어를 타국어로 번역하는 수준은 괄목할 만하다. 본 논문은 기계번역에 있어서 주제어 Topik 및 초점어 Fokus를 중심으로 발생하는 언어학적인 문제점, 특히 의미론적인 문제점을 다루었다 이를 위해 먼저 주제어와 초점어에 대한 언어학적인 개념을 다루어 보았다. 주제어란 한 문장에서 이미 알려진 사항, 즉 이미 주어진 단어이고, 초점어는 한 문장에서 새로운 사항, 즉 지금 전달하고자 하는 내용을 뜻한다 제 3장에서는 주제어와 초점어를 번역하기 위해 생성된 규칙들에 근거한 담화모델 Diskursmodell을 살펴보았다. 제 4장에서는 문장을 번역하는데 있어서 의미론상 발생하는 문제점들을 다루었다 그 문제점들은 다음과 같은 3가지로 요약될 수 있다: 첫째, 문장에서 부정형이 어디에 위치하느냐에 따라 문장의 의미가 달라진다. 둘째, 양화사 Quantor의 형태에 따라 문장의 의미가 달라진다. 셋째, 의문문과 화답문 Antwortsatz에 있어서 어느 내용을 강조하느냐에 따라 문장의 의미가 달라진다. 예를 들어 독일어는 단순히 단어의 위치만 변화시킬 수 있지만 다른 유럽어나 영어는 다른 방법들이 필요한 셈이다. 본 논문에서 제시되고 있는 기계번역의 규칙들은 주제어와 초점어에 관계되는 한 영어와 독일어에 한정되어 제시되었지만, 향후 한국어와 독일어의 기계번역을 위해 밑거름이 되리라 생각한다.

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Using Plan Recognition and a Discourse Stack for Efficient Response Generation in a Dialogue System (대화시스템을 위한 계획인식과 담화스택을 이용한 효과적인 응답 생성)

  • Kang, Sang-Woo;Ko, Young-Joong;Seo, Jung-Yun
    • Annual Conference on Human and Language Technology
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    • 한국정보과학회언어공학연구회 2006년도 제18회 한글 및 한국어 정보처리 학술대회
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    • pp.177-182
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    • 2006
  • 대화 시스템에 관한 기존 연구는 대화 현상에 대한 원리를 이해하는데 초점을 맞춘 연구와 매우 제한적인 상황에서 동작하는 실용적인 시스템 구축에 관한 연구로 이루어져 왔다. 전자의 연구를 위해서 계획기반모델(plan-based model)이 제안되었는데, 이는 복잡한 대화 구조를 모델링(modeling)할 수 있으며, 다양한 현상에서의 사용자 목적 추론이 가능하다. 하지만 계획기반모델은 초기 설계가 어려우며 실용적인 대화 시스템 구축에 있어서 시스템 응답을 생성하기 위한 상호작용 모델로의 확장이 매우 어렵다는 단점이 있다. 본 연구는 이러한 계획 기반 모델의 단점을 보완하고 실용적인 대화시스템을 구축하기 위하여 시스템 응답을 위한 확인 대화 전략과 담화스택(discourse stack)을 계획기반 대화 모델링에 적용하여 효율적인 응답을 생성할 수 있는 기법을 제안한다.

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Automated Scoring of Argumentation Levels and Analysis of Argumentation Patterns Using Machine Learning (기계 학습을 활용한 논증 수준 자동 채점 및 논증 패턴 분석)

  • Lee, Manhyoung;Ryu, Suna
    • Journal of The Korean Association For Science Education
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    • 제41권3호
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    • pp.203-220
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    • 2021
  • We explored the performance improvement method of automated scoring for scientific argumentation. We analyzed the pattern of argumentation using automated scoring models. For this purpose, we assessed the level of argumentation for student's scientific discourses in classrooms. The dataset consists of four units of argumentation features and argumentation levels for episodes. We utilized argumentation clusters and n-gram to enhance automated scoring accuracy. We used the three supervised learning algorithms resulting in 33 automatic scoring models. As a result of automated scoring, we got a good scoring accuracy of 77.59% on average and up to 85.37%. In this process, we found that argumentation cluster patterns could enhance automated scoring performance accuracy. Then, we analyzed argumentation patterns using the model of decision tree and random forest. Our results were consistent with the previous research in which justification in coordination with claim and evidence determines scientific argumentation quality. Our research method suggests a novel approach for analyzing the quality of scientific argumentation in classrooms.

Using Plan Recognition and a Discourse Stack for Effective Response Generation in a Dialogue System (대화 시스템을 위한 계획 인식과 담화 스택을 이용한 효과적인 응답 생성)

  • Kang, Sang-Woo;Ko, Young-Joong;Seo, Jung-Yun
    • Korean Journal of Cognitive Science
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    • 제19권2호
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    • pp.107-123
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    • 2008
  • The existing studies of a dialogue system can be classified into two major parts. One is a study for a practical system, and the other is a study to understand a principal of dialogue phenomena. The former focuses on robustness in real environment for dialogue systems. However, it cannot guarantee its performance in complicated dialogue environment. The latter has studied as the plan-based model typically. It has strong points that it can reflect complex dialogue phenomena and can infer user's intention in various situations. However, an initial design of this model is so complicated, and it is difficult for this model to be extended to the interaction model for response generation in a practical dialogue system. This paper proposes a new dialogue modeling using plan recognition and a discourse stark to effectively generate response in a practical dialogue system.

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Analyzing the Effectiveness of Argumentation Program to Conceptualize the Concept of Natural Selection for Elementary Science-Gifted Students (초등과학영재들의 자연선택 개념 형성을 위한 논변활동 효과 분석)

  • Park, Chuljin;Cha, Heeyoung
    • Journal of The Korean Association For Science Education
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    • 제36권4호
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    • pp.591-606
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    • 2016
  • The purpose of this study is to develop the argumentation program to build scientific concepts on natural selection for science-gifted elementary students and to know how to implement this program. For this study, nine key concepts about natural selection such as the overproduction of offspring, limited resources, population stability, competition, variation, heredity of variation, differential survival, change of the population and speciation were selected through the literature study. The programs were developed by learning cycle instructional model. Argument writings and discourses have been collected, analyzed and compared before and after the program. Two questionnaires to compare pre and post concept change consist of multiple choice questionnaire and open-ended response question were developed and applied to 19 science-gifted elementary students. Sufficiency of the explanation and conceptual quality of the explanation were used to assess the quality of their arguments before and after the program. Discourse and visual models collected from the highest and lowest group about score improvement were compared. The scores of the gifted statistically improved significantly in multiple choice questionnaire. Students' alternative conceptions about natural selection at the beginning of the program decreased and changed scientifically after the program. Visual models drawn by the students supported the results as well. This study asserts that elementary science-gifted students are able to explain evolutionary perspectives about organism change and use the key concepts of natural selection. The study means that evolutionary perspective is possible to be reflected in elementary science curriculum for the gifted.