• Journal of the Korean Society for Library and Information Science
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• v.51 no.4
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• pp.99-120
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• 2017

In order to develop a semiautomatic support system that allows researchers concerned to efficiently analyze the technical trends for the ever-growing industry and market. This paper introduces a couple of Korean sentence generation models that can automatically generate definitional statements as well as descriptions of technical terms and concepts. The proposed models are based on a deep learning model called LSTM (Long Sort-Term Memory) capable of effectively labeling textual sequences by taking into account the contextual relations of each item in the sequences. Our models take technical terms as inputs and can generate a broad range of heterogeneous textual descriptions that explain the concept of the terms. In the experiments using large-scale training collections, we confirmed that more accurate and reasonable sentences can be generated by CHAR-CNN-LSTM model that is a word-based LSTM exploiting character embeddings based on convolutional neural networks (CNN). The results of this study can be a force for developing an extension model that can generate a set of sentences covering the same subjects, and furthermore, we can implement an artificial intelligence model that automatically creates technical literature.

• Journal of Educational Research in Mathematics
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• v.25 no.4
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• pp.525-547
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• 2015

This study analyzed the written texts of textbook and the teacher's discourse explaining 'the relationship between quadratic functions and quadratic equations' in the 9th grade high school mathematics class. Data consisted of the lecture recordings and the textbooks were analyzed based on the Halliday's systemic functional linguistics. According to the results, the written texts of the textbook used lexico-grammatical strategies such as generalization using hyponomy of meanings, mathematical objectification through nominalization and materialization of meaning through change in themes to compose mathematical concepts. The textbook generalized from an example in the description of formulating mathematical concepts, and in this process the organizational interactions of discourse-semantic level and lexico-grammartical level appeared. On the other hand, the teacher's doscourse appeared the change in transitivity and the addition of the reasons and the process. Also the teacher used explanation process of formulating the relationship between quadratic functions and quadratic equations. The linguistic characteristics of the teacher were linguistic implication and omission of lexemes due to contextual ommission. And there was no use of structural lexico-grammatical resources that influence the discourse-semantic level. This results provide a new framework for analyzing mathematical discourse, and suggest the lexico-grammatical strategies that can be used to explain mathematical concepts by teachers in math classrooms.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.4
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• pp.27-43
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• 2020

Recently, there has been growing interest in entrepreneurial universities. Accordingly, this study discussed the paradigm shift from traditional university roles to entrepreneurial universities and conducted case analysis of Oxford University, Stanford University and Berlin Institute of Technology from the perspective of ambidextrous strategies of universities. Universities are emphasizing the importance of academic capitalism through market activities as well as the educational and research-oriented role to adapt and survive the rapidly changing uncertain environment. Therefore, many studies related to this have been conducted. This paper discusses the background and necessity of the transformation from traditional universities to entrepreneurial universities, and applies the case of a university that has been successful in transforming into an entrepreneurial universities and creating excellent outcome in terms of ambidextrous strategy. Specifically, this study examined the structural, contextual, and leadership perspectives as a antecedents for ambidextrous strategy. This paper expects not only to introduce cases but also to be used as reference for adapting to future paradigm shifts to entrepreneurial universities and setting the direction of universities.

• The Journal of the Korea Contents Association
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• v.13 no.5
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• pp.342-353
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• 2013

Objectives: It attempted to analyze influencing factors on the utilization of outpatient services which were adopted to predisposing, enabling, and need factors in Anderson model. Methods: The current study analyzed "2007 Korean National Health Nutrition Survey" data, which selected 3,335 people nationwide by proportional systematic sampling. This study analyzed data of persons who used outpatient services in two weeks. It adopted Anderson Model to control contextual factors including socioeconomic factors. The study compared means and fitted logistic regression models and multilevel model. Results: The logistic regression model showed that persons purchased private medical insurance were less likely to use outpatient services than the persons did not purchase private medical insurance. Persons with hypertension and diabetes mellitus, overweight, and problem drinkers were more likely to use outpatient services. Persons with high school graduates or higher in education level and experience of accidents or intoxications were more likely to use outpatient services according to the multilevel analysis of mixed model which treated region as random effect. Conclusion: Higher level of perceived stress increased the probability to use outpatient service than lower level of perceived stress. As number of days a person had exercised increased, the probability to use outpatient service decreased. Overweight and problem alcohol drinking increased the probability of outpatient service use. Further research should be conducted to find more factors influencing outpatient service use.

• The Journal of the Korea Contents Association
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• v.18 no.9
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• pp.178-198
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• 2018

This study examines the effects of transformational leadership on helping behavior for the secretary workers. We also demonstrate comprehensively the moderating effects of job resources(LMX) and job demands(utilization of mobile devices after work) on the relationship between transformational leadership and helping behavior. The results of this study targeted 140 incumbent secretaries are as follows: First, transformational leadership has a significant positive effect on the helping behaviors of members. Second, the interaction effect of LMX(synergistic effect) was verified in the positive relationship between transformational leadership and helping behavior. Finally, interaction effects of utilization of mobile devices after work(buffering effect) were confirmed in the relationship between transformational leadership and helping behavior. The results of this study are that transformational leadership of middle managers is important to strengthen worker's helping behavior, but it is also important to understand the contextual factors such as social support(LMX) and work environment(utilization of mobile devices after work) that affect the will and autonomy of members in accepting leadership. Finally, we suggest the theoretical and practical implications of this study, present limitations and future research directions.

• Journal of the Korean Applied Science and Technology
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• v.37 no.2
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• pp.303-317
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• 2020

The purpose of this study is to conceptualize the process of formation by the exploration of the lives of professional golfers who grow to excellent sports leaders, categorize the concept and suggest models between categories. In order to reveal in depth the change process of the job formation, the 'grounded approach' as a qualitative study was used as a the methodological frame of this study, and snow sampling, one of nonrandom sampling was used for the selection method of the study participants. 10 study participants who are able to make positive self-expression and talk with the researcher were selected. Through grounded approach appropriate for this process research, this study could acquire following results. First, through the casual condition that is the exploration of the lives of professional golfers growing to excellent sports leaders, it connected to the central phenomena of professional instruction methods and education belief as golf leaders. In this process, the changes as new experiences for the charm of the new job and relationship formation influence as the function of a contextual condition. In addition, golf leaders tried to become a more completed golf leader through self-efforts for development and expertise attainment according to the their own situations as well as belief, and they have established the lives of firm golf leaders through the process. Second, as a result of the changes of their lives as professional golfers growing to excellent sports leaders, the paradigm of grounded approach which is abstracted as total 141 concepts, 17 subcategories, and 11 superordinate categories were composed.

• Journal of Multimedia Information System
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• v.5 no.3
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• pp.147-154
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• 2018

Natural language processing (NLP) is an emerging research area in which we study how machines can be used to perceive and alter the text written in natural languages. We can perform different tasks on natural languages by analyzing them through various annotational tasks like parsing, chunking, part-of-speech tagging and lexical analysis etc. These annotational tasks depend on morphological structure of a particular natural language. The focus of this work is part-of-speech tagging (POS tagging) on Hindi language. Part-of-speech tagging also known as grammatical tagging is a process of assigning different grammatical categories to each word of a given text. These grammatical categories can be noun, verb, time, date, number etc. Hindi is the most widely used and official language of India. It is also among the top five most spoken languages of the world. For English and other languages, a diverse range of POS taggers are available, but these POS taggers can not be applied on the Hindi language as Hindi is one of the most morphologically rich language. Furthermore there is a significant difference between the morphological structures of these languages. Thus in this work, a POS tagger system is presented for the Hindi language. For Hindi POS tagging a hybrid approach is presented in this paper which combines "Probability-based and Rule-based" approaches. For known word tagging a Unigram model of probability class is used, whereas for tagging unknown words various lexical and contextual features are used. Various finite state machine automata are constructed for demonstrating different rules and then regular expressions are used to implement these rules. A tagset is also prepared for this task, which contains 29 standard part-of-speech tags. The tagset also includes two unique tags, i.e., date tag and time tag. These date and time tags support all possible formats. Regular expressions are used to implement all pattern based tags like time, date, number and special symbols. The aim of the presented approach is to increase the correctness of an automatic Hindi POS tagging while bounding the requirement of a large human-made corpus. This hybrid approach uses a probability-based model to increase automatic tagging and a rule-based model to bound the requirement of an already trained corpus. This approach is based on very small labeled training set (around 9,000 words) and yields 96.54% of best precision and 95.08% of average precision. The approach also yields best accuracy of 91.39% and an average accuracy of 88.15%.

• Korean Journal of Social Welfare
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• v.62 no.3
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• pp.219-245
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• 2010

The objective of this study is to identify the community living experiences of married immigrant women in rural areas. For this purpose, we conducted qualitative research by sampling 14 married immigrant women who had lived in Korea for over three years by having in depth interviews with them. This study employed the grounded theory method suggested by Strauss and Corbin(1998). When raw data from in depth interviews with the participants were processed by open coding through the continuous comparison method with theoretical sensitivity, a total of 13 categories, 27 sub.categories, and 71 concepts were extracted. In case of axial coding, according to the results of analyzing through the paradigm procedure, the causal conditions for the community living experiences of married immigrant women in rural areas were 'Uncertain start' and 'Confront practical problems,' and the central phenomenon was 'Search for existence to participate in community activities.' Contextual conditions affecting the phenomenon was 'Regret international marriage,' 'Experience conflicts,' and 'Look with negative prejudices,' 'Overcome the actual' and action/interaction strategies were 'Look for a breakthrough of life' and 'Manage to acceptance.' Intervening conditions for promoting or suppressing the action/interaction strategies for the central phenomenon were 'Social support system' and 'local limitations,' and as a result, the community living experiences of married immigrant women in rural areas appeared to 'Prepare the future,' 'Hope continuous social activities,' and 'Expect public support systems.'