• Title/Summary/Keyword: Natural Language Understanding

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Characteristic of Wooden Toy for Infants (유아용 목재완구의 특성분석)

  • Cho, Sook-Kyung;Noh, Eun-Ho;Yang, Seung-Hee
    • Journal of the Korea Furniture Society
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    • v.20 no.4
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    • pp.317-325
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    • 2009
  • On the ground of that toy as for infants is an important tool for education as well as play and furthermore it has a great influences on their growth and development, the present study intends to analyze the characteristics of the infant-oriented toys made of wood, the environment-friendly material. Object of the study includes the infants aged 2 to 7, and the wooden toy not only in domestic also international cases are investigated and analyzed from the point of function and design in particular, and the infant-oriented wooden toy is finally characterized. The wooden toys are classified in 5 items according to functions. There are toy helping a physical development like small muscles, toy improving the creativity, toy assisting language learning like Korean & English, toy contributing to number understanding and counting, and toy for imitation of social roles. The characteristics of the wooden toy are that the natural color & grain of wood are shown first, and also the natural texture & aroma of wood are felt secondly, and geometric design and shape are often presented thirdly, and recycling is available fourthly, and it is expensive finally. In order to revitalize the wooden toys lagging behind the cheap and diverse toys made of plastic, it is highly needed that development of the environment-friendly painting, unique design, marketing strategy of enterprises and use of domestic wood material.

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A Model of Natural Language Information Retrieval Using Main Keywords and Sub-keywords (주 키워드와 부 키워드를 이용한 자연언어 정보 검색 모델)

  • Kang, Hyun-Kyu;Park, Se-Young
    • The Transactions of the Korea Information Processing Society
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    • v.4 no.12
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    • pp.3052-3062
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    • 1997
  • An Information Retrieval (IR) is to retrieve relevant information that satisfies user's information needs. However a major role of IR systems is not just the generation of sets of relevant documents, but to help determine which documents are most likely to be relevant to the given requirements. Various attempts have been made in the recent past to use syntactic analysis methods for the generation of complex construction that are essential for content identification in various automatic text analysis systems. Unfortunately, it is known that methods based on syntactic understanding alone are not sufficiently powerful to Produce complete analyses of arbitrary text samples. In this paper, we present a document ranking method based on two-level ranking. The first level is used to retrieve the documents, and the second level to reorder the retrieved documents. The main keywords used in the first level can be defined as nouns and/or compound nouns that possess good document discrimination powers. The sub-keywords used in the second level can be also defined as adjectives, adverbs, and/or verbs that are not main keywords, and function words. An empirical study was conducted from a Korean encyclopedia with 23,113 entries and 161 Korean natural language queries collected by end users. 850% of the natural language queries contained sub-keywords. The two-level document ranking methods provides significant improvement in retrieval effectiveness over traditional ranking methods.

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A Study on the Development Methodology for User-Friendly Interactive Chatbot (사용자 친화적인 대화형 챗봇 구축을 위한 개발방법론에 관한 연구)

  • Hyun, Young Geun;Lim, Jung Teak;Han, Jeong Hyeon;Chae, Uri;Lee, Gi-Hyun;Ko, Jin Deuk;Cho, Young Hee;Lee, Joo Yeoun
    • Journal of Digital Convergence
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    • v.18 no.11
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    • pp.215-226
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    • 2020
  • Chatbot is emerging as an important interface window for business. This change is due to the continued development of chatbot-related research from NLP to NLU and NLG. However, the reality is that the methodological study of drawing domain knowledge and developing it into a user-friendly interactive interface is weak in the process of developing chatbot. In this paper, in order to present the process criteria of chatbot development, we applied it to the actual project based on the methodology presented in the previous paper and improved the development methodology. In conclusion, the productivity of the test phase, which is the most important step, was improved by 33.3%, and the number of iterations was reduced to 37.5%. Based on these results, the "3 Phase and 17 Tasks Development Methodology" was presented, which is expected to dramatically improve the trial and error of the chatbot development.

Database Interface System with Dialog (대화를 통한 데이타베이스 인터페이스 시스템)

  • Woo, Yo-Seop;Kang, Seok-Hoon
    • The Transactions of the Korea Information Processing Society
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    • v.3 no.3
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    • pp.417-428
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    • 1996
  • In this paper, a database interface system with natural language dialogue is designed and implemented. The system is made up of language analysis, context processing, dialogue processing and DB processing unit. The method for classifying and processing an undefined word in language analysis is proposed. It reduces the dictionary size, which gives difficulties in DB Interface. And the current DB Interfaces dealt with an input utterance independently. But the system in this paper provides a user with the interface environment in which he or she can have a continuous conversation with the system and retrieve DB information. Thus in this paper, speech acts which include user's inattentions well as propositional contents are defined, and user action hierarchical model for library DB retrieval is constructed. And the system uses the defined knowledge to recognize-user's plan, effectively understanding and managing the ongoing dialogue. And the system is implemented in the domain of library database in order to prove the proposed methods in this paper.

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Document Classification Methodology Using Autoencoder-based Keywords Embedding

  • Seobin Yoon;Namgyu Kim
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.9
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    • pp.35-46
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    • 2023
  • In this study, we propose a Dual Approach methodology to enhance the accuracy of document classifiers by utilizing both contextual and keyword information. Firstly, contextual information is extracted using Google's BERT, a pre-trained language model known for its outstanding performance in various natural language understanding tasks. Specifically, we employ KoBERT, a pre-trained model on the Korean corpus, to extract contextual information in the form of the CLS token. Secondly, keyword information is generated for each document by encoding the set of keywords into a single vector using an Autoencoder. We applied the proposed approach to 40,130 documents related to healthcare and medicine from the National R&D Projects database of the National Science and Technology Information Service (NTIS). The experimental results demonstrate that the proposed methodology outperforms existing methods that rely solely on document or word information in terms of accuracy for document classification.

The Physical Acting as a Sign: Its Theatrical Features and Cognitive Science Principles. (기호로서의 신체적 연기: 그것의 연극적 특성과 인지과학적 원리)

  • Kim, Yongsoo
    • Journal of Korean Theatre Studies Association
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    • no.52
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    • pp.271-317
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    • 2014
  • This essay studied the acting theories of Diderot, Delsarte, Meyerhold, and Artaud to know the historical formation of 'sign acting' and its theoretical and aesthetic appropriateness. The sign acting so far discussed shows the repetitive patterns of idea as follows. The sign acting (1) emphasizes the physical expression such as gesture and movement, (2) assumes that the physical expression functions as a sign evoking special emotion and thought, (3) thus recommends the imitation of the outer sign, (4) uses a tableau for the effective reception of outer sign, (5) aims for the spectator oriented aesthetics as it stresses the result of outer sign rather than the creative process of a role, (6) assumes that the emotional reaction or the intellectual understanding springs from the physical experience, (7) thus emphasizes the physical language rather than speech, (8) can attain the appropriateness of physical language by the recent theories of cognitive science. Besides having such commonness, the sign acting also reveals the individual differences. For instance, the intended sign for Diderot and Delsarte was the sign of emotion, for Meyerhold the stylized sign of circus and acrobatics, and for Artaud the spiritual sign. If Diderot and Meyerhold demands the cool consciousness for the correct sign acting, Artaud's sign acting tends to pursue the state of trance. And if Diderot, Delsarte, and Meyerhold think the sign acting on the level of sensory appeal, Artaud insists that the sign acting should dismantle the spectator's sense. As such the discussion of sign acting shows both recurrent ideas and new visions, forming an unity out of diversity. Perhaps the sign acting is a matter of practice before we consider it as a theory. It is not only supposed to have been existed practically since ancient theatre, but also used by actors consciously and unconsciously in expressing certain emotion and thought. We need to study the sign acting more academically, considering its long history and aesthetic potentials. In fact the sign acting has been an essential element of acting, in spite of bad reputation judging it as a banal and worn-out style. It is true that the sign acting, in the worst case, could produce a stereotypical expression. It was this aspect of sign acting that caused a fierce negative reaction of the realists who sought the natural expression based upon psychological truth. Of course the sign acting has a serious problem when it stays banal and artificial. But we need to see this issue from a different perspective. What is the natural expression of emotion? How is it free from the learned way of expression? In some respect, we use, in reality, a learned expression of emotion that could be accepted socially. For instance, when we attend a funeral, we use the outer sign of mourning gestures learned socially. If a semiotic expression pervades various aspects of our life, the acting, being the representation of life, seems not to be free from codified expression. The sign acting could be used consciously and unconsciously in all kinds of acting.

Learning System of Programming Language using Basic Algorithms (기초 알고리즘을 활용한 프로그래밍 언어 학습 시스템)

  • Park, Kyoung-Wook;Oh, Kyeong-Sug;Ryu, Nam-Hoon;Lee, Hye-Mi;Kim, Eung-Kon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.5 no.1
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    • pp.66-73
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    • 2010
  • The curriculum of programming education including algorithm has been recognized as a very important subject to many students majoring in natural sciences and engineering including electronic engineering and computer related departments. However, many students have had difficulties with it due to its characteristics; as a consequence, they have been in trouble taking upper-level subjects. Flow chart is a diagram that expresses logical stages necessary to solve certain problems and has been widely used to have an understanding of the flow of algorithm. The practice-oriented education of algorithm and programming would be very important to assist the understanding of operation processes. Furthermore, it has been desperately required to the necessity of auxiliary programs that could enhance an understanding of the concept of algorithm and program execution process. This study was aimed to design and embody the learning system of programming languages using basic algorithms so as for students to easily learn basic algorithm among the entire programming curriculum.

Understanding Lacan's Psychology through the Mathematical Concepts and its Application (수학적 개념을 통한 라깡의 심리학에 대한 이해와 그 응용)

  • Kim, Jae-Ryong
    • Communications of Mathematical Education
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    • v.28 no.1
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    • pp.45-55
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    • 2014
  • Lacan gives an explanation on our real actual world by the concepts the "Real", the "Imaginary" and the "Symbolic". Although this three registers are not far from each other, they never can be unified. Among animals, only human has interest in the "truth". The concept of truth is discussed and debated in several contexts, including philosophy and religion. Many human activities depend upon the concept, which is assumed rather than a subject of discussion, including science, law, and everyday life. Language and words are a means by which humans convey information to one another, and the method used to determine what is a "truth" is termed a criterion of truth. Accepting then that "language is the basic social institution in the sense that all others presuppose language", Lacan found in Ferdinand de Saussure's linguistic division of the verbal sign between signifier and signified a new key to the Freudian understanding that "his therapeutic method was 'a talking cure'". The purpose of this paper is to understand Lacan's psychology and psychoanalysis by using the mathematical concepts and mathematical models, especially geometrical and topological models. And re-explanation of the symbolic model and symbols can help students understand new ideas and concepts in the educational scene.

A Study on the Japanese Traditional Borrowed Landscape in Architecture of Ando Tadao -Focusing on his concept by 'polymerization of abstraction and representation'- (안도다다오 건축에 표현된 일본전통 차경기법에 관한 연구 -그의 '추상과 구상의 중합'에 의한 개념을 중심으로-)

  • Han, Myoung-Sik
    • Korean Institute of Interior Design Journal
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    • v.17 no.1
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    • pp.30-38
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    • 2008
  • Borrowed landscape is an Oriental gardening method to draw inside external natural landscape, and borrowed landscape of Japan has a different characteristic from that of Korea or China nature is manipulated and re-interpreted by human will in the course of applying it to architectural space. In other words, not the original scenery, but manipulated one appears which is cut, reduced, or deleted by architectural elements such as wall, window, or fence. Therefore, this study examined how architectural structure of Ando Tadao symbolizing modernist architecture understood and adopted Japanese traditional views on nature, that is, borrowed landscape. To this end, on the basis of the understanding on 'polymerization of abstraction and form' he mentioned, his geometric architectural principles are discussed, since this serves to be an important beginning of architectural concretization by the concept of 'form' experienced and perceived by human being through geometric means called architecture 'abstraction.' The findings of this study are as follows: first, it was found that Ando Tadao generates borrowed landscape effects by polymerizing and manipulating his simple and geometric structures with each other and thereby editing natural scenery, while Japanese traditional borrowed landscape introduces source scenery inside, through condensation and symbolization. Second, the results of this study revealed that his architecture functions to transcend external and internal realm of a space, which is also observed in Japanese traditional architectural borrowed landscape. Therefore, this study is considered significant in the sense that it proved that Ando Tadao's architectural language is based on borrowed landscape as a specific Japanese traditional element, going beyond the scope of previous studies focusing simply on the introduction of natural elements.

Analysis of Research Trends in Deep Learning-Based Video Captioning (딥러닝 기반 비디오 캡셔닝의 연구동향 분석)

  • Lyu Zhi;Eunju Lee;Youngsoo Kim
    • KIPS Transactions on Software and Data Engineering
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    • v.13 no.1
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    • pp.35-49
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    • 2024
  • Video captioning technology, as a significant outcome of the integration between computer vision and natural language processing, has emerged as a key research direction in the field of artificial intelligence. This technology aims to achieve automatic understanding and language expression of video content, enabling computers to transform visual information in videos into textual form. This paper provides an initial analysis of the research trends in deep learning-based video captioning and categorizes them into four main groups: CNN-RNN-based Model, RNN-RNN-based Model, Multimodal-based Model, and Transformer-based Model, and explain the concept of each video captioning model. The features, pros and cons were discussed. This paper lists commonly used datasets and performance evaluation methods in the video captioning field. The dataset encompasses diverse domains and scenarios, offering extensive resources for the training and validation of video captioning models. The model performance evaluation method mentions major evaluation indicators and provides practical references for researchers to evaluate model performance from various angles. Finally, as future research tasks for video captioning, there are major challenges that need to be continuously improved, such as maintaining temporal consistency and accurate description of dynamic scenes, which increase the complexity in real-world applications, and new tasks that need to be studied are presented such as temporal relationship modeling and multimodal data integration.