• Title/Summary/Keyword: 언어융합

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Graph Random Walk Analysis for Chat Messenger User Verification (채팅 메신저 사용자 검증을 위한 그래프 랜덤 워크 분석)

  • Lee, Da-Young;Cho, Hwan-Gue
    • Annual Conference on Human and Language Technology
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    • 2021.10a
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    • pp.79-84
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    • 2021
  • 메신저 사용의 증가와 함께 관련 범죄와 사고가 증가하고 있어 메시지 사용자 검증의 필요성이 대두되고 있다. 본 연구에서는 그래프 기반의 인스턴트 메세지 분석 모델을 제안하여 채팅 사용자를 검증하고자 한다. 사용자 검증은 주어진 두 개의 텍스트의 작성자가 같은지 여부를 판단하는 문제다. 제안 모델에서는 사용자의 이전 대화를 토대로 n-gram 전이 그래프를 구축하고, 작성자를 알 수 없는 메세지를 이용해 전이 그래프를 순회한 랜덤워크의 특성을 추출한다. 사용자의 과거 채팅 습관과 미지의 텍스트에 나타난 특징 사이의 관계를 분석한 모델은 10,000개의 채팅 대화에서 86%의 정확도, 정밀도, 재현율로 사용자를 검증할 수 있었다. 전통적인 통계 기반 모델들이 명시적 feature를 정의하고, 방대한 데이터를 이용해 통계 수치로 접근하는데 반해, 제안 모델은 그래프 기반의 문제로 치환함으로써 제한된 데이터 분량에도 안정적인 성능을 내는 자동화된 분석 기법을 제안했다.

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Data Augmentation using Large Language Model for English Education (영어 교육을 위한 거대 언어 모델 활용 말뭉치 확장 프레임워크)

  • Jinwoo Jung;Sangkeun Jung
    • Annual Conference on Human and Language Technology
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    • 2023.10a
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    • pp.698-703
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    • 2023
  • 최근 ChatGPT와 같은 사전학습 생성모델은 자연어 이해 (natural language understanding)에서 좋은 성능을 보이고 있다. 또한 코드 작업을 도와주고 대학수학능력시험, 중고등학교 수준의 문제를 풀거나 도와주는 다양한 분야에서 활용되고 있다. 본 논문은 사전학습 생성모델을 이용하여 영어 교육을 위해 말뭉치를 확장하는 프레임 워크를 제시한다. 이를 위해 ChatGPT를 사용해 말뭉치를 확장 한 후 의미 유사도, 상황 유사도, 문장 교육 난이도를 사용해 생성된 문장의 교육적 효과를 검증한다.

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Comparison of Predictive Performance between Verbal and Visuospatial Memory for Differentiating Normal Elderly from Mild Cognitive Impairment (정상 노인과 경도인지장애의 감별을 위한 언어 기억과 시공간 기억 검사의 예측 성능 비교)

  • Byeon, Haewon
    • Journal of the Korea Convergence Society
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    • v.11 no.6
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    • pp.203-208
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    • 2020
  • This study examined whether Mild Cognitive Impairment (MCI) is related to the reduction of specific memory among linguistic memory and visuospatial memory, and to identify the most predictive index for discriminating MCI from normal elderly. The subjects were analyzed for 189 elderly (103 healthy elderly, 86 MCI). The verbal memory was used by the Seoul Verbal Learning Test. visuospatial memory was measured using the Rey Complex Figure Test. As a result of multiple logistic regression, verbal memory and visuospatial memory showed significant predictive performance in discriminating MCI from normal elderly. On the other hand, when all the confounding variables were corrected, including the results of each memory test, the predictive power was significant in distinguishing MCI from normal aging only in the immediate recall of verbal memory, and the predictive power was not significant in the immediate recall of visuospatial memory. This result suggests that delayed recall of visuospatial memory and immediate recall of verbal memory are the best combinations to discriminate memory ability of MCI.

A literature review on the relationship between personal traits and language learning (언어학습과 성격특성의 관계에 대한 문헌 분석 연구)

  • Eisenberg, Sam;Lee, Kyungsuk
    • Journal of Convergence for Information Technology
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    • v.10 no.6
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    • pp.147-155
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    • 2020
  • This is a literature review study on personality traits' role in language learning. Personality traits play an important role in language learning. In order to review research outcomes in recent studies, articles related to language learning and personality traits were collected through research databases such as ProQuest, Google Scholar, and EBSCO. Based on the analysis of collected literature, this study revealed that extraversion and openness to experience are the personality traits leading to the successful language learning. More specifically, extraversion was related to speaking skills while openness to experience was related to listening. It is also important to note which learning strategies are more likely to be utilized in second language learning and personality traits that are more likely to use them. These findings focus on writing skills, listening skills, and speaking skills. Further studies in the field are suggested.

The effect of computer based cognitive rehabilitation program on the improvement of generative naming in the elderly with mild dementia: preliminary study (한국형 전산화 인지재활프로그램이 초기 치매노인의 생성 이름대기 수행에 미치는 효과에 관한 예비연구)

  • Byeon, Haewon
    • Journal of the Korea Convergence Society
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    • v.10 no.9
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    • pp.167-172
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    • 2019
  • The purpose of this study was to investigate the effect of computer based cognitive rehabilitation program on the generative naming. Twenty - one patients were assigned to the CoTras program and eight were treated with traditional face - to - face language rehabilitation such as paper and table activities. The experimental group and the control group performed sequential language recall memory training, association memory recall training, language categorization memory training, and language integrated memory training for 12 weeks. The Welch's robust ANCOVA showed significant differences in mean fluency and MMSE-K changes (p<0.05). On the other hand, phonemic fluency increased significantly after 12 weeks of treatment compared to baseline in both experimental and control groups, but there was no statistically significant difference between treatment groups. The results of this study suggest that the computer based cognitive rehabilitation program may be more effective in improving the semantic fluency than the conventional cognitive-linguistic rehabilitation.

A Study on the Effectiveness Measurement of TV Home Shopping Advertising Using think aloud and linguistic Analysis (사고발성법과 언어분석을 활용한 TV 홈쇼핑 광고의 효과측정 연구)

  • Ryu, Yeon-Jae
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.9 no.9
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    • pp.797-808
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    • 2019
  • The purpose of this study is to collect the psychological responses that occur while watching TV home shopping ads in verbal form, and explore the possibility of measuring the effectiveness of TV home shopping ads using linguistic analysis. The psychological responses during watching positive and negative ads of participants(40 housewives and female college students) were collected in a linguistic form using a think aloud and self-report measurement. It was analyzed by KLIWC, a Korean language analysis program. As a result of the analysis, there was a difference in psychosocial variables as well as linguistic variables between positive and negative evaluation ads. Also, various variables of KLIWC were correlated with the variables of advertising effectiveness (purchase stimulus, ad attitude, product attitude, purchase intention) and advertising response variables. This suggests the possibility of constructing a psychological response profile and measurement of advertising effectiveness using language analysis.

Analysis of Teacher's Verbal Interactions and Problem Solving Strategies in Young Children's Environmental Education Using Language Network Analysis Methods (언어네트워크 분석방법을 활용한 유아환경교육에서 교사의 언어적 상호작용과 문제해결전략 분석)

  • Choi, Yoon-Ji
    • Journal of Convergence for Information Technology
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    • v.11 no.3
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    • pp.147-158
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    • 2021
  • The purpose of this study is to perform of composition of young children teacher's verbal interactions and problem solving strategies by semantic network analysis. The data was collected the narrative of teacher in young children's environmental education. Additionally, this study used categories as a unit of analysis in order to find out structural characteristics. The results of this study were as follows. First, teacher's verbal interactions, providing information was the most cental, high influence appeared along with integration. Second, teacher's problem solving strategies, suggestion was the most cental, high influence appeared along with divergent thinking. Third, teacher's verbal interactions and problem solving strategies, suggestion was the most cental, providing information and divergent thinking appeared a strong connection. Besides, suggestion and decision were mediated by concern of problem, assessment appeared connection. Through these results from this study it is suggested that in order to interact and support problem solving process in young children's environmental education, teacher education to respond and understand contextually with young children is necessary.

Dialogue based multimodal dataset including various labels for machine learning research (대화를 중심으로 다양한 멀티모달 융합정보를 포함하는 동영상 기반 인공지능 학습용 데이터셋 구축)

  • Shin, Saim;Jang, Jinyea;Kim, Boen;Park, Hanmu;Jung, Hyedong
    • Annual Conference on Human and Language Technology
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    • 2019.10a
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    • pp.449-453
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    • 2019
  • 미디어방송이 다양해지고, 웹에서 소비되는 콘텐츠들 또한 멀티미디어 중심으로 재편되는 경향에 힘입어 인공지능 연구에 멀티미디어 콘텐츠를 적극적으로 활용하고자 하는 시도들이 시작되고 있다. 본 논문은 다양한 형태의 멀티모달 정보를 하나의 동영상 콘텐츠에 연계하여 분석하여, 통합된 형태의 융합정보 데이터셋을 구축한 연구를 소개하고자 한다. 구축한 인공지능 학습용 데이터셋은 영상/음성/언어 정보가 함께 있는 멀티모달 콘텐츠에 상황/의도/감정 정보 추론에 필요한 다양한 의미정보를 부착하여 활용도가 높은 인공지능 영상 데이터셋을 구축하여 공개하였다. 본 연구의 결과물은 한국어 대화처리 연구에 부족한 공개 데이터 문제를 해소하는데 기여하였고, 한국어를 중심으로 다양한 상황 정보가 함께 구축된 데이터셋을 통하여 다양한 상황 분석 기반 대화 서비스 응용 기술 연구에 활용될 것으로 기대할 수 있다.

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Generating Label Word Set based on Maximal Marginal Relevance for Few-shot Name Entity Recognition (퓨샷 개체명 인식을 위한 Maximal Marginal Relevance 기반의 라벨 단어 집합 생성)

  • HyoRim Choi;Hyunsun Hwang;Changki Lee
    • Annual Conference on Human and Language Technology
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    • 2023.10a
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    • pp.664-671
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    • 2023
  • 최근 다양한 거대 언어모델(Large Language Model)들이 개발되면서 프롬프트 엔지니어링의 대한 다양한 연구가 진행되고 있다. 본 논문에서는 퓨삿 학습 환경에서 개체명 인식의 성능을 높이기 위해서 제안된 템플릿이 필요 없는 프롬프트 튜닝(Template-free Prompt Tuning) 방법을 이용하고, 이 방법에서 사용된 라벨 단어 집합 생성 방법에 Maximal Marginal Relevance 알고리즘을 적용하여 해당 개체명에 대해 보다 다양하고 구체적인 라벨 단어 집합을 생성하도록 개선하였다. 실험 결과, 'LOC' 타입을 제외한 나머지 개체명 타입에서 'PER' 타입은 0.60%p, 'ORG' 타입은 4.98%p, 'MISC' 타입은 1.38%p 성능이 향상되었고, 전체 개체명 인식 성능은 1.26%p 향상되었다. 이를 통해 본 논문에서 제안한 라벨 단어 집합 생성 기법이 개체명 인식 성능 향상에 도움이 됨을 보였다.

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Effect of verbal and nonverbal communication of middle school sports club instructor on trust of instructor and class commitment (중학교스포츠클럽 지도자의 언어적·비언어적 의사소통이 지도자신뢰 및 수업몰입에 미치는 영향)

  • Jang, Chae-ouk;Seo, Soo-Jin
    • Journal of the Korea Convergence Society
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    • v.12 no.8
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    • pp.267-277
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    • 2021
  • This study was done with collected and analyzed data using the convenient sampling method on 349 middle school students located in the metropolitan area in order to verify the effect of instructors verbal and nonverbal communications on instructor trust and class commitment in middle school sports clubs. As a result of analyzing the collected data, First, as a result of correlation analysis using the total number of items between sub-factors of latent variables, all correlation coefficients showed a positive (+) significant relationship. Second, as a result of the effect of verbal and nonverbal communications on instructor trust, it was found that the influence of spatial language, appearance language, body language, and linguistic factors were significantly explained in order. Third, as a result of the effect of verbal and nonverbal communications on class flow, it was found that class commitment was significantly explained in the order of appearance language, spatial language, and linguistic factors. Fourth, as a result of the influence of instructor's trust on class commitment, it was found that only the exercise capacity factor significantly explained class commitment. This study provides basic academic data to plan and create interactions with school sports club instructors and students.