• Proceedings of the Korean Information Science Society Conference
• /
• 1998.10c
• /
• pp.153-155
• /
• 1998

본 논문에서는 개념을 기반으로 문서의 분류를 하는 확률벡터 모델의 분류기TAXON(Concept-based Text Categorization System)의 개선을 도모한다. TAXON은 한국어 문장을 분석하여 명사를 추출하고 명사의 개념을 시소러스 도구를 통해 획득한 후 이를 벡터화하여 주제와 입력 문서와의 관계성을 검사하는 문서 분류기이다. 본 논문은 문서 분류기 TAXON의 성능을 향상시키기 위하여 확률벡터 계산에 가중치 부여 휴리스틱을 도입한다. 그리고 시소러스 도구를 확장하여 문서 분류의 질을 높인다.

• Fashion & Textile Research Journal
• /
• v.11 no.2
• /
• pp.210-218
• /
• 2009

The Purpose of this study is to demonstrate Storytelling as an effective device for Fashion Design by establishing relationship between Fashion Design Process and Storytelling. Through researching a social background and a concept of storytelling, found that story used interactively is a powerful tool for attention, understanding and change in both individuals and communities. Analysed the elements and the structure of storytelling and Fashion Design Process, by researching preceding researches. Therefore, we proposed a new four elements -text factor, visual factor, audio factor and virtual factor- and four steps (1)exploring stories, (2)planning a story, (3)building the story, (4)do storytelling- of storytelling and four steps-(1)gathering and analysing informations, (2)building a concept, (3)planning and developing a design, (4)do evaluation and make decision- of fashion design process. Through comparative analysis, we found a closeness between two structures, a use of common factors and also found characteristics to be considered in each stage. In the first stage, we found text, visual and audio factor as common factors. In the second stage, we suggested text and visual factor as common factors and also suggested clarity, realism and probability as characteristics. In the third stage, we found text, visual and virtual factor and also found dynamism, immersion and continuity. In the last stage, we suggested text, visual, virtual and audio factor and also suggested presence and interactivity as characteristics.

• ETRI Journal
• /
• v.43 no.2
• /
• pp.288-298
• /
• 2021

Abstractive text summarization is a process of making a summary of a given text by paraphrasing the facts of the text while keeping the meaning intact. The manmade summary generation process is laborious and time-consuming. We present here a summary generation model that is based on multilayered attentional peephole convolutional long short-term memory (MAPCoL; LSTM) in order to extract abstractive summaries of large text in an automated manner. We added the concept of attention in a peephole convolutional LSTM to improve the overall quality of a summary by giving weights to important parts of the source text during training. We evaluated the performance with regard to semantic coherence of our MAPCoL model over a popular dataset named CNN/Daily Mail, and found that MAPCoL outperformed other traditional LSTM-based models. We found improvements in the performance of MAPCoL in different internal settings when compared to state-of-the-art models of abstractive text summarization.

• (The) Research of the performance art and culture
• /
• no.22
• /
• pp.327-370
• /
• 2011

Shakespeare's text "Hamlet" was first introduced in Korea in the first part of 1920s by Hyeon Cheol via 『Gaebyeok』. Its performance of whole acts was realized in Kinema Theater in Daegu by the direction of Lee Hae-Rang (translated by Han Lo-Dan) in September, 1951, during the Korean War. Since then, a variety of performances were carried out by numberless performing artists and performing groups in the 1960s, 1970s, 1980s and 1990s. The purpose of this study was, among numberless performing artists and performances appeared in the history of performance of "Hamlet", to examine Lee Hae-rang's direction standpoint of "Hamlet", which has been one of the mainstays since the 1950s. For this, among many performances directed by Lee Hae-rang, the investigator referred to the performing scripts and performance criticisms for the opening performance of Drama Center in 1962 and the performances in HOAM Art Hall in 1985 and 1989, focusing on the text "Hamlet" performance in 1951. In the second chapter, the concept, standpoint and background of realism, the base of his theatrical activities in his lifetime, were examined. In the third chapter, before analyzing his direction standpoint for text "Hamlet", the traditional and modern concept of text was summarized and a variety of standpoints and viewpoints for the text were analyzed. And based on the above summary and analysis, his direction standpoint was analyzed and examined, thus presenting a clue for the discussion on the position of Shakespeare's text "Hamlet" directed by Lee Hae-rang in the Korean history of performance and its performance aesthetics.

• Journal of information and communication convergence engineering
• /
• v.7 no.4
• /
• pp.419-430
• /
• 2009

Reading comprehension (RC) systems are to understand a given text and return answers in response to questions about the text. Many previous studies extract sentences that are the most similar to questions as answers. However, texts for RC tests are generally short and facts about an event or entity are often expressed in multiple sentences. The answers for some questions might be indirectly presented in the sentences having few overlapping words with the questions. This paper proposes a conceptual graph matching method towards RC tests to extract answer strings. The method first represents the text and questions as conceptual graphs, and then extracts subgraphs for every candidate answer concept from the text graph. All candidate answer concepts will be scored and ranked according to the matching similarity between their sub-graphs and question graph. The top one will be returned as answer seed to form a concise answer string. Since the sub-graphs for candidate answer concepts are not restricted to only covering a single sentence, our approach improved the performance of answer extraction on the Remedia test data.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2000.10a
• /
• pp.11-18
• /
• 2000

No Abstract.See Full-text

• Bulletin of the Korean Space Science Society
• /
• 1994.04a
• /
• pp.30-30
• /
• 1994

No Abstract. See Full-text

• Journal of Korean Medical classics
• /
• v.33 no.1
• /
• pp.103-133
• /
• 2020

Objectives : To determine the level of medicine in the Earlier Han period through 『Liushi Bing Fang』. Methods : Original texts were collected from previously published studies on 『Liushi Bing Fang』 and books to reconstruct the text of 『Liushi Bing Fang』. Results & Conclusions : 151 tablets out of the entire 213, a total of 4,084 characters out of the entire 9,000 were collected. This amounts to about 45% of the entire 『Liushi Bing Fang』. Based on this finding, we could summarize the following. First, the concept of Qi is used in the context of illness, indicating the usage of Qi as a medical concept to be much earlier than previously known, as it appears in a herbal treatment text. Second, on Blood, similarly to 『Wushier Bing Fang』 and 『Wuwei Handai Yijian』, it refers to the physical blood as well as name of disease. Moreover, the concept of stagnated blood is mentioned as 'neiyu(內瘀)' in 『Liushi Bing Fang』, meaning that the doctors of the time held this concept and also had the medicinal knowledge to treat this condition. Third, within 『Liushi Bing Fang』, there are contents on the body parts each medicinal mainly treats. This indicates to the understanding that not only were they at the level to connect each medicinals to its mainly applicable disease, but they were able to connect the herbal medicinals to the inner constructions of the body. Based on these findings, the first text to provide the base to the attributive channel theory of herbal medicinals, where each medicinal's properties and effects are connected to the Zangfu and body parts, needs to be newly acknowledged as 『Liushi Bing Fang』 instead of 『Shennongbencaojing』 as previously known.

• (The) Korean Journal of Educational Psychology
• /
• v.22 no.2
• /
• pp.461-478
• /
• 2008

This study attempted to test whether or not students' collaborative argumentation and explanation activity while using concept mapping did improve understanding on texts. Total of 52 college students participated in this study. They were randomly assigned to one of four experimental conditions. The experiment lasted for two or three weeks and students were tested on comprehension level of a text material that they have studied over the period. As a result, with two independent factors of explanation and collaboration, there was a significant interaction effect without main effects. That is, individual did better when they did have to explain what they were doing. However, this is not the case when students collaborate. Students in the paired condition, they did better when they do not have to explain what they were doing with concept maps. This study showed efficiency with using computerized software does not always guarantee higher understanding on text materials. Instructional contexts and variables, collaboration and explanation, needs to be considered. Collaborating with others and explaining their own learning processes should be carefully designed when they are combined with concept mapping contexts. How to minimize learning obstacles from discussing ideas with others are a critical issue for future research.

• Journal of Korea Society of Industrial Information Systems
• /
• v.9 no.3
• /
• pp.38-45
• /
• 2004

The goal of this research is to develop a method of identifying a topic of a given text by looking at relationship of keywords defined in an ontology hierarchy. The keywords which are extracted from important sentences of the given text are mapped onto their correspond concepts which exist in the hierarchy. After all the words are mapped, the correspond concepts will be generalized into one single concept. The single concept will most likely be the topic of text. Our research have an approach that promotes both satisfaction in term of robustness and accuracy using ontologies and word frequency. So, this attempts are done in what they call as a hybrid approach. We try to take the challenge by using knowledge-statistical base approach. Experimental results show that proposed method outperforms the existing method using knowledge-base only.