• Title/Summary/Keyword: question understanding

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Knowledge Based Question Answering System Using Fuzzy Logic (지식 기반형 fuzzy 질의 응답 시스템)

  • 이현주;오경환
    • Korean Journal of Cognitive Science
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    • v.2 no.2
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    • pp.309-339
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    • 1990
  • The most common way that people communicate is by speaking or writing natural languages.But if people use computers in the modern technology,they should learn artificial programming languages.If computers could understand what people mean when people speak or type natural languages,people would use the computers more easily and naturally.but there is a problem.The language which people use has vagueness.For example,the convential computer system cant's handle the subjective feeling like 'tall' or 'young'.So peole must specify the exact threshold like 'more'than 25 ages'.We have developed the knowledge-based natural language question answering system which can handle sentences having fuzzy concepts by using blackboard model.Our goal of this research is to develop a portable question answering system as interface for database systems or understanding systems.

The Investigation of the Characteristics of a Teacher's Questions in Music Activity (음악활동시간의 교사질문특성 탐색)

  • LIM, Eun-Ae
    • Journal of Fisheries and Marine Sciences Education
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    • v.21 no.3
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    • pp.347-360
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    • 2009
  • The purpose of this study was to investigate the characteristics of a teacher's questions in each context of musical activity by analyzing those questions in kindergarten music activity qualitatively. The participant in research was a teacher in charge of the class of children aged 7. Analysis was carried out on the data collected for 3 months through participation observance note, recording material, interview material and weekly plan. As a result, the teacher's questions were leaned upon the convergent questions to confirm the reflection of information and the understanding of function in singing and performing activity. On the other hand, the teacher's questions were leaned upon the diffusive questions for the thought of integration of information in composition activity and upon the diffusive questions for representing feeling or image with no relation to musical meaning in appreciation activity. However, the teacher's questions for control were conducted together with one of the questions, the question mentioned ahead. The tacit control question in singing and performing activity and the explicit control question in composition activity were conducted together, and in appreciation activity, the simple questions to lead the class, though not with the purpose to control attention, was conducted together.

Using Syntax and Shallow Semantic Analysis for Vietnamese Question Generation

  • Phuoc Tran;Duy Khanh Nguyen;Tram Tran;Bay Vo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.10
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    • pp.2718-2731
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    • 2023
  • This paper presents a method of using syntax and shallow semantic analysis for Vietnamese question generation (QG). Specifically, our proposed technique concentrates on investigating both the syntactic and shallow semantic structure of each sentence. The main goal of our method is to generate questions from a single sentence. These generated questions are known as factoid questions which require short, fact-based answers. In general, syntax-based analysis is one of the most popular approaches within the QG field, but it requires linguistic expert knowledge as well as a deep understanding of syntax rules in the Vietnamese language. It is thus considered a high-cost and inefficient solution due to the requirement of significant human effort to achieve qualified syntax rules. To deal with this problem, we collected the syntax rules in Vietnamese from a Vietnamese language textbook. Moreover, we also used different natural language processing (NLP) techniques to analyze Vietnamese shallow syntax and semantics for the QG task. These techniques include: sentence segmentation, word segmentation, part of speech, chunking, dependency parsing, and named entity recognition. We used human evaluation to assess the credibility of our model, which means we manually generated questions from the corpus, and then compared them with the generated questions. The empirical evidence demonstrates that our proposed technique has significant performance, in which the generated questions are very similar to those which are created by humans.

The Effect of Science Toy Making Activities on the Scientific Interest and the Conceptual Understanding of Elementary School Students (과학 완구 만들기 활동이 초등학생의 과학 흥미도 및 개념 이해도에 미치는 효과)

  • Kwon, Nan-Joo;Bok, Yeong-Seon
    • Journal of Korean Elementary Science Education
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    • v.26 no.3
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    • pp.243-251
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    • 2007
  • The purpose of this study was to investigate the effects of science toy making activities on the scientific interest and the conceptual understanding of elementary school students. In this study, science toy making activities were applied to an experimental group and traditional learning activities were applied to the control group. The science toy making activities comprised thirteen steps and were administered during class. In the scientific interest test, there was a statistically significant difference between the score of the experimental group and that of the control group. In particular, post-test scores were higher than pre-test scores in the experimental group, while they were lower than this in the control group. It appeared that students had positive thoughts about science toy making activities. These science toy making activities had positive effects on the conceptual understanding of the experimental group students. The post-test scores of the experimental group were higher than that of the control group in all domain concepts. From these results, it can be deduced that the science toy making activities were more effective than traditional teaming activities. They were an effective teaching technique which enhanced the scientific interests and the conceptual understanding of the students in question.

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An Exploratory Study toward a Theory Construction of Hope (전인적 간호요소로서의 희망의 이론화를 위한 탐색적 연구)

  • 김달숙
    • Journal of Korean Academy of Nursing
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    • v.21 no.2
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    • pp.168-185
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    • 1991
  • A written association test has been conducted to establish the concept, the meaning and the process of hope. The test consists of the major question : List of three words related to “hope”. The question was given to 55 nurses(rehabilitation /cancer /internal medicine care wards units) and 61 patients. A total of 289 words have been collected, and the collection was analyzed with categorization by the value or meaning of listed words. The analysis yields three major categories, namely, componants of hope, metaphores /symbols, and synonyms. The three major categories may be further partitioned into subcategories. The results are significant to define the nature of the hope and process of the hope. These understanding will facilitate the development of effective methods of nursing or chronic or cancer patients disabled.

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Impact and Evaluation of International Cancer Control Congresses

  • Sarwal, Kavita;Trapido, Edward J.;Sutcliffe, Simon;Qiao, You-Lin
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.2
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    • pp.1159-1163
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    • 2013
  • International meetings on various aspects of cancer- its etiology, its diagnosis, its treatment, its palliation, and its prevention and control are held frequently. Many have similar themes, and many seek and receive the same speakers and audiences. A fundamental question arises: what difference does any individual meeting/congress/conference make or add to our understanding of the relevant issues? While many meetings conduct evaluations at the end of the Congress, few use evaluation as a tool to guide design, implementation, and evaluation of both short and long term impacts, and address the question of "what difference did the Congress make". The International Cancer Control Congresses, which are held biennially in different regions of the world, took the opportunity to use evaluation in this way, and ask the relevant questions. This paper describes that evaluation session of the ICCC4, held in Seoul, Korea in November 2011, which was part of the larger evaluation issue.

A Comparative Analysis of Elementary Students' Content Understanding and Perceptions by Different Types of Informational Science Texts (정보적 과학 텍스트의 유형에 따른 초등학생들의 내용 이해도와 인식 비교)

  • Lim, Hee-Jun;Kim, Yeon-Sang
    • Journal of Korean Elementary Science Education
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    • v.29 no.4
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    • pp.526-537
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    • 2010
  • The purpose of this study was to compare the effects of two different types of texts, which were narrative and expository, on the understanding of content. Elementary students' perceptions of the two types of the texts were also investigated. In the comparison of the effects on the understanding of the text contents, test scores of mind-mapping, closed-answer question, and essay test were used. The analyses of mind-mapping tests showed narrative text was more effective to figure out main concepts of the text throughout the mind-mapping test. But expository text was more effective in the hierarchical organization of the concepts. In the closed-answer questions and essay test, narrative text was more effective than expository text. However when the contents of text were difficult and complex, there was no meaningful difference between the two types of texts. The analyses of students' perceptions of the texts showed that narrative texts were preferred. Students perceived that the narrative text was more interesting and familiar. However, the perceptions of helpful text for their science learning were not different by the types of texts.

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A Search for the meaningful method of teaching for Correct Understanding of Advanced Mathematics Concepts (고등 수학 개념의 올바른 이해를 위한 유의미한 교수법 탐색)

  • 한길준;우호식
    • The Mathematical Education
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    • v.40 no.2
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    • pp.241-252
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    • 2001
  • Many high school students are having difficulties for studying advanced mathematics concepts. It is more complicated than in junior high school and they are losing interest and confidence. In this paper, advanced mathematics concepts are not just basic concepts such as natural numbers, fractions or figures that can be learned through life experience but concepts that are including variables, functions, sets, tangents and limits are more abstract and formal. For the students to understand these ideas is too heavy a burden and so many of the students concentrate their efforts on just memorizing and not understanding. It is necessary to search for a meaningful method of teaching for advanced mathematics that covers deductive methods and symbols. High school teachers are always asking themselves the following question, “How do we help the students to understand the concept clearly and instruct it in a meaningful way?” As a solution we propose the followings : I. To ensure they have the right understanding of concept image involved in the concept definition. II. Put emphasis on the process of making mental representations and the role of intuition. III. To instruct students and understand them as having many chance of the instructional conversation. In conclusion, we studied the meaningful method of teaching with the theory of Ausubel related to the above proposed methods. To understand advanced mathematics concepts correctly, the mutual understanding of both teachers and students is necessary.

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A Study on the Genetically Modified Foods Recognition, Knowledge and Purchase Attitude of University Students according to Their Majors (전공 여부에 따른 대학생의 유전자재조합식품의 인식, 지식 및 구매 태도에 관한 비교 연구)

  • Jang, Jae Seon
    • The Korean Journal of Food And Nutrition
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    • v.29 no.1
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    • pp.79-86
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    • 2016
  • This study was analyzed to provide fundamental data of food safety education way on the recognition, knowledge and purchase attitude of GMO foods. Data was collected from 270 University students in the Gyeong-gi region through a self-administered questionnaire. According to the results of the reliability and factor analysis, the knowledge and purchase attitude of GMO foods showed 0.742 and 0.832 in Cronbach alpha coefficient, 0.791 and 0.831 in KMO. There were significant differences in the recognition and intake possibility and purchase will, safety and absorption to a GMO foods between the specialty person and non-specialist (p<0.05). By the kind of GMO foods it appeared highly by the order corn (70.0%), tomato (67.5%), beans (63.3%) and potato (51.3%). There were significant differences in the general knowledge of GMO foods (p<0.05), whereas no significant differences in question 'There were no genes in ordinary beans' by a presence of a specialty (p>0.05). After the purchase attitude difference to the GMO foods was analyzed by a presence of a specialty, I appeared most highly in the question to which I say 'I think a GMO foods is ethical.' by a negative question and 'I think a GMO foods is mass-produced, and it's possible to make a food problem decrease.' by an affirmative question. Therefore, the purchase attitude of GMO foods showed a significant differences of University students according to their major (p<0.05). Based on this study, it is considered that provision of detailed and continuous education must be accomplished by raising the recognition of GMO foods and its acceptance level, allowing a proper understanding of GMO foods to be conveyed and assisting subjects from receiving the information they desire effectively by various education mediums.

Development of a Regulatory Q&A System for KAERI Utilizing Document Search Algorithms and Large Language Model (거대언어모델과 문서검색 알고리즘을 활용한 한국원자력연구원 규정 질의응답 시스템 개발)

  • Hongbi Kim;Yonggyun Yu
    • Journal of Korea Society of Industrial Information Systems
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    • v.28 no.5
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    • pp.31-39
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    • 2023
  • The evolution of Natural Language Processing (NLP) and the rise of large language models (LLM) like ChatGPT have paved the way for specialized question-answering (QA) systems tailored to specific domains. This study outlines a system harnessing the power of LLM in conjunction with document search algorithms to interpret and address user inquiries using documents from the Korea Atomic Energy Research Institute (KAERI). Initially, the system refines multiple documents for optimized search and analysis, breaking the content into managable paragraphs suitable for the language model's processing. Each paragraph's content is converted into a vector via an embedding model and archived in a database. Upon receiving a user query, the system matches the extracted vectors from the question with the stored vectors, pinpointing the most pertinent content. The chosen paragraphs, combined with the user's query, are then processed by the language generation model to formulate a response. Tests encompassing a spectrum of questions verified the system's proficiency in discerning question intent, understanding diverse documents, and delivering rapid and precise answers.