• Title/Summary/Keyword: 질문 유형

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Deep Learning-based Person Analysis in Oriental Painting for Supporting Famous Painting Habruta (명화 하브루타 지원을 위한 딥러닝 기반 동양화 인물 분석)

  • Moon, Hyeyoung;Kim, Namgyu
    • The Journal of the Korea Contents Association
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    • v.21 no.9
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    • pp.105-116
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    • 2021
  • Habruta is a question-based learning that talks, discusses, and argues in pairs. In particular, the famous painting Habruta is being implemented for the purpose of enhancing the appreciation ability of paintings and enriching the expressive power through questions and answers about the famous paintings. In this study, in order to support the famous painting Habruta for oriental paintings, we propose a method of automatically generating questions from the gender perspective of oriental painting characters using the current deep learning technology. Specifically, in this study, based on the pre-trained model, VGG16, we propose a model that can effectively analyze the features of Asian paintings by performing fine-tuning. In addition, we classify the types of questions into three types: fact, imagination, and applied questions used in the famous Habruta, and subdivide each question according to the character to derive a total of 9 question patterns. In order to verify the feasibilityof the proposed methodology, we conducted an experiment that analyzed 300 characters of actual oriental paintings. As a result of the experiment, we confirmed that the gender classification model according to our methodology shows higher accuracy than the existing model.

Question and Answering System through Search Result Summarization of Q&A Documents (Q&A 문서의 검색 결과 요약을 활용한 질의응답 시스템)

  • Yoo, Dong Hyun;Lee, Hyun Ah
    • KIPS Transactions on Software and Data Engineering
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    • v.3 no.4
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    • pp.149-154
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    • 2014
  • A user should pick up relevant answers by himself from various search results when using user participation question answering community like Knowledge-iN. If refined answers are automatically provided, usability of question answering community must be improved. This paper divides questions in Q&A documents into 4 types(word, list, graph and text), then proposes summarizing methods for each question type using document statistics. Summarized answers for word, list and text type are obtained by question clustering and calculating scores for words using frequency, proximity and confidence of answers. Answers for graph type is shown by extracting user opinion from answers.

Automatic question generation based on image captioning data & visual QA data (Image captioning 데이터와 Visual QA 데이터를 활용한 질문 자동 생성)

  • Lee, Gyoung Ho;Choi, Yong Seok;Lee, Kong Joo
    • 한국어정보학회:학술대회논문집
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    • 2016.10a
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    • pp.176-180
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    • 2016
  • 대화형 시스템이 사람의 경청 기술을 모방할 수 있다면 대화 상대방과 더 효과적으로 상호작용 할 수 있을 것이다. 본 논문에서는 시스템이 경청 기술을 모방할 수 있도록 사용자의 발화를 기반으로 질문을 생성하는 것에 대해 연구하였다. 그리고 이러한 연구를 위해 필요한 데이터를 Image captioning과 Visual QA 데이터를 기반으로 생성하고 활용하는 방안에 대해 제안한다. 또한 이러한 데이터를 Attention 메커니즘을 적용한 Sequence to sequence 모델에 적용하여 질문을 생성하고, 생성된 질문의 질문 유형을 분석하였다. 마지막으로 사람이 작성한 질문과 모델의 질문 생성 결과 비교를 BLEU 점수를 이용하여 수행하였다.

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Automatic question generation based on image captioning data & visual QA data (Image captioning 데이터와 Visual QA 데이터를 활용한 질문 자동 생성)

  • Lee, Gyoung Ho;Choi, Yong Seok;Lee, Kong Joo
    • Annual Conference on Human and Language Technology
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    • 2016.10a
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    • pp.176-180
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    • 2016
  • 대화형 시스템이 사람의 경청 기술을 모방할 수 있다면 대화 상대방과 더 효과적으로 상호작용 할 수 있을 것이다. 본 논문에서는 시스템이 경청 기술을 모방할 수 있도록 사용자의 발화를 기반으로 질문을 생성하는 것에 대해 연구하였다. 그리고 이러한 연구를 위해 필요한 데이터를 Image captioning과 Visual QA 데이터를 기반으로 생성하고 활용하는 방안에 대해 제안한다. 또한 이러한 데이터를 Attention 메커니즘을 적용한 Sequence to sequence 모델에 적용하여 질문을 생성하고, 생성된 질문의 질문 유형을 분석하였다. 마지막으로 사람이 작성한 질문과 모델의 질문 생성 결과 비교를 BLEU 점수를 이용하여 수행하였다.

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Korean Question Generation Using Co-Attention Layer of Answer and Passage (정답과 구절의 공동 주의 집중 계층을 이용한 한국어 질문 생성)

  • Kim, Jintae;Noh, Hyungjong;Lee, Yeonsoo;Kim, Harksoo
    • Annual Conference on Human and Language Technology
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    • 2019.10a
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    • pp.315-320
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    • 2019
  • 질문 생성이란 구절이 입력되면 구절에서 답을 찾을 수 있는 질문을 자동으로 생성하는 작업으로 교육용 시스템, 대화 시스템, QA 시스템 등 다양한 분야에서 중요한 역할을 한다. 질문 생성에서 정답의 단어가 질문에 포함되는 문제점을 해결하기 위해 구절과 정답을 분리한다. 하지만 구절과 정답을 분리하게 되면 구절에서 정답의 정보가 손실되고, 정답에서는 구절의 문맥 정보가 손실되어 정답 유형에 맞는 질문을 생성할 수 없는 문제가 발생된다. 본 논문은 이러한 문제를 해결하기 위해 분리된 정답과 구절의 정보를 연결시켜주는 정답과 구절의 공동 주의 집중 계층을 제안한다. 23,658개의 질문-응답 쌍의 말뭉치를 이용한 실험에서 정답과 구절의 공동 주의 집중 계층이 성능 향상에 기여해 우수한 성능(BLEU-26.7, ROUGE-57.5)을 보였다.

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Validity of the Comparison Question Test: An fMRI Study (폴리그라프 비교질문검사의 타당성: fMRI 연구)

  • Jeon, Hajung;Eum, Young-Ji;Sohn, Jin-Hun;Eom, Jin-Sup
    • Science of Emotion and Sensibility
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    • v.21 no.2
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    • pp.113-124
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    • 2018
  • The logical assumption of the comparison question test (CQT) is that the guilty person pays more attention to the relevant questions than to the comparison questions, and that the innocent person pays more attention to the comparison questions than to the relevant questions. The purpose of this study was to verify the logic of the comparison question test using functional magnetic resonance imaging (fMRI). The participants were tested for brain responses during a mock crime and performed the CQT under guilty and innocent conditions. After brain imaging, we evaluated the psychological burden of responding to the relevant questions and comparison questions. In the guilty conditions, the degree of burden was higher for the relevant questions than the comparison questions, and there was no significant difference in the innocent conditions. The fMRI results showed that, in the guilty conditions, greater activation was observed in the right superior temporal gyrus and right inferior frontal gyrus when relevant questions were presented relative to comparison questions. Based on these findings, the logical assumption of the CQT was discussed.

Levels and Patterns of Main Terms' Interrelationships in Student Teachers' Notable Questions about the Contents of the Elementary Science Textbooks (초등 과학교과서 내용에 대한 예비교사들의 주요 질문에 나타나는 용어의 상호 관련성 수준과 유형)

  • Lee, Myeong-Je
    • Journal of the Korean earth science society
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    • v.27 no.1
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    • pp.20-31
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    • 2006
  • This study analysed student teachers' notable questions about the earth science contents in the elementary science textbooks. The contents of notable questions were defined as ‘notable question contents 1' and 'notable question contents 2'. Both the question contorts are contents about which the number of questions is above three times and from two times to three times as much as the mean number of questions per page of each unit respectively. The results are as follows. First, question contents 1 are found as 'clouds observation', 'geological strata formation' and so on. Question contents 2, 'rainfall measurement', 'moon's movement during one night' and so on are found. Second, the number of interrelationships of main terms in questions increased in each question of question contents 1, but 4 term-patterns are found more in question contents 2 than question contents 1. Third, high interrelationship patterns of terms in question contents 1 are 'coal and petroleum-generation', 'metamorphosis-heat and pressure', 'metamorphosis-heat and pressure-metamorphic rocks', 'planet-sun-comet-revolution' and in question contents 2. 'constellation plate-use', 'dryness and wetness hygrometer-principle', 'seismograph-principle-earthquake', 'earth rotation axis-tilting-occurrence', 'dryness and wetness hygrometer-principle-humidity' and so on. The sources of questions analysed in this study are estimated as the content construction system of textbooks, or students' general questions about the earth science contents. If this is the former, the problems in texts and illustrations in textbooks should be articulated and resolved. And if the latter, the elementary science curriculum has to be reconsidered in view of scientific literacy in earth science.

Question Analysis for Constraint-based KBQA (제약기반 KBQA를 위한 질문분석)

  • Heo, Jeong;Lee, Hyung-Jik;Bae, Kyoung-Man;Kim, Hyun-Ki
    • Annual Conference on Human and Language Technology
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    • 2018.10a
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    • pp.665-668
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    • 2018
  • 본 논문에서는 제약기반 KBQA를 위한 질문분석 기술에 대해서 소개한다. 핵심개체와 속성에 대한 연결 모호성을 해소하기 위해서 세 종류의 제약정보 활용을 제안한다. 세 종류의 제약은 핵심개체에 기반한 제약, 의미정답유형에 기반한 제약, 속성단서에 기반한 제약이다. 제약을 위해서는 질문 내에서 핵심개체와 속성단서를 인식하여야 한다. 본 논문에서는 규칙과 휴리스틱에 기반한 핵심개체와 속성단서 인식 방법에 대해서 소개한다. 핵심개체와 속성단서 인식 실험은 구축된 229개의 질문을 대상으로 수행하였으며, 핵심개체와 속성단서가 모두 정확히 인식된 정확도(accuracy)가 57.21%이고, KBQA 대상질문에서는 71.08%를 보였다.

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Analysis of the Directives and Wh-words in the Directives of Elementary Korean Textbooks (초등 국어교과서 지시문과 의문사 분석)

  • Lee, Suhyang
    • The Journal of the Korea Contents Association
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    • v.22 no.3
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    • pp.134-140
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    • 2022
  • The purpose of this study was to investigate the directives and Wh-words in the directives from elementary 2nd, 4th and 6th grade Korean textbooks. After entering all directives into Microsoft Office Excel, directives with Wh-words were separated. The analysis program, Natmal, was used for the analysis of the directives and Wh-words. The criteria from previous studies were also applied for this analysis process. As a result of the study, there are a lot of nouns and verbs in directives. They were consisted of sentences with an average of 6.9 Eojeol. There were a total of 11 types of Wh-words and 'Mueot(what), Eotteon(which), eotteohge(how)' appeared most frequently in all grades. For question types, both grades had more inferential questions than literal information questions. This results were expected to be used as basic data for language interventions with school aged children who have language disorders.

Analysis of Digital Reference Services in Korean Academic Libraries (대학도서관의 디지털참고봉사 제공 및 이용 분석)

  • Chang, Hye-Rhan
    • Journal of the Korean Society for information Management
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    • v.20 no.4 s.50
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    • pp.49-66
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    • 2003
  • To understand current state of the digital reference services in Korean academic libraries. a comprehensive examination and analysis was performed. Data was collected from July 8, 2003 to July 22, 2003, through direct site examination and recording the question and answer transcripts. The analysis focused on the provision characteristics and use of the digital reference services. Results revealed interesting findings and related problems. Suggestions for future development are provided.