• Cross-Cultural Studies
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• v.43
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• pp.7-50
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• 2016

In the capitalized Joseon Dynasty under the Japanese colonial rule, most Gisaengs (female entertainers) were waiting for men who would save them from financial distress, but others chose to seize the opportunity imposed by the modern times and capitalization to transform their lives. Socialist Jung Chil-sung was one of those who utilized such opportunity to transform themselves through political awakening. The political awakening of Chung Chil-sung was the result of two factors-the historical occasion of the March $1^{st}$ movement and her personal labor experience as Gisaeng. The March $1^{st}$ movement was not only a colossal political incident externally manifested in nationalism and but also an occasion which educed the microscopic anger of a woman named Chung Chil-sung. In the early capitalist society, women with jobs were forced to play not only vocational tasks but also to subject themselves to emotional roles of being obedient and generous. In other words, those early career women suffered feelings such as anger, shame and humiliation, when they were defenselessly exposed to gender hierarchy and gender power in the public sphere. As shown in the case of Chung Chil-sung, these emotions led to a certain political awakening. The political awakening through the labor experience and emotional problems was the fact that helped Chung Chil-sung have a concrete and realistic understanding about the issue of women's economic dependence unlike other female socialists. But, although socialism was relatively the most appropriate language to explain Chung Chil-sung's experience, what she experienced contained several elements that cannot be explained by the elite socialist language. Therefore, her life paradoxically proved the need of lower-class women's lives to be divided and registered as a new emotion and to be politically visualized.

• Journal of KIISE:Software and Applications
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• v.35 no.6
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• pp.374-385
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• 2008

Speech act tagging is an important step in various dialogue applications, which recognizes speaker's intentions expressed in natural language utterances. Previous approaches such as rule-based and statistics-based methods utilize the speech acts of previous utterances and sentence features of the current utterance. This paper proposes a method that determines speech acts of the current utterance using the speech acts of the following utterances as well as previous ones. Using the features of following utterances yields the accuracy 95.27%, improving previous methods by 3.65%. Moreover, sentence features of the previous utterances are employed to maximally utilize the information available to the current utterance. By applying the proper probability model for each speech act, final accuracy of 97.97% is achieved.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.12
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• pp.865-872
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• 2013

Two-level morphology analysis method is one of rule-based morphological analysis method. This approach handles morphological transformation using rules and analyzes words with morpheme connection information in a lexicon. It is independent of language and Korean Two-level system was also developed. But, it was limited in practical use, because of using very small set of lexicon built manually. And it has also a over-generation problem. In this paper, we propose an automatic construction method of Korean Two-level lexicon for PC-KIMMO from morpheme tagged corpus. We also propose a method to solve over-generation problem using lexical information and sub-tags. The experiment showed that the proposed method reduced over-generation by 68% compared with the previous method, and the performance increased from 39% to 65% in f-measure.

• The Journal of the Korea Contents Association
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• v.5 no.4
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• pp.169-179
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• 2005

Standard industry and occupation code are usually assigned manually in Korean census. The manual coding is very labor intensive and expensive task. Furthermore, inconsistent coding is resulted from the ability of human experts and their working environments. This paper proposes an automatic code classification system which converts natural language responses on survey questionnaires into corresponding numeric codes by using manually constructed rule base and example-based machine learning. The system was trained with 400,000 records of which standard codes was assigned. It was evaluated with 10-fold cross validation and was tested with three code sets: population occupation set, industry set, and industry survey set. The proposed system showed 76.63%, 82.24 and 99.68% accuracy for each code set.

• The Journal of Korean Association of Computer Education
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• v.5 no.2
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• pp.21-28
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• 2002

This paper proposes a new approach to rollback-recovery using multi-agent in distributed computing system. Previous rollback-recovery protocols are dependent on inherent communication and operating system, which causes a decline of computing performance in distributed computing system. By using multi-agent, we propose rollback-recovery protocol that is independent on operating system. We define three kinds of agent. One is a recovery agent that performs rollback-recovery protocol after a failure. Other is an information agent that constructs domain knowledge as a rule of fault tolerance and information during failure-free operation. The other is facilitator agent that controls the efficient communication between agents. Also we propose rollback-recovery protocol using multi-agent and simulated the proposed rollback-recovery protocol using JAVA and agent communication language in CORBA environment.

• Archives of Plastic Surgery
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• v.44 no.3
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• pp.251-256
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• 2017

The most important environment of human being is the human being itself. So we have been sensitive to the appearance of ours and others at the same time. This writing aims for locating origins of the face and discerning differences [1] between the face of humans and those of other animals [2]. The face assumes a substantial significance not merely as a body function, but, above all, a means of expressions and features being looked at. The face is an important means of communication to humans as social animals. Knowledges about the various faces of the face are useful to become a efficient specialist as an extensive generalist because the face is a regular patron to the plastic surgery. The face in Korean consists of two elements of eol (the soul or the mind) and gul a residing place). When Wittgenstein says "the face is the soul of the body," his semantics corresponds to the Korean meaning. The meaning of the face in Korean is summed up in five ways. (1) the head or the front of the face with the eye, the nose and the mouth, (2) reputation or honor, (3) the general description of the psychological state, such as "the face of sadness", (4) a figure person representing a particular area, such as "Sun Dong-yul is the face of the Korean baseball community," (5) the primary imagery of the things and the event, such as "He is the face of the 4.19 Revolution." As such, the word "face", referring to a body part, extends its usages in a wide variety of contexts. What image do you convoke when you think of a person? With rare exceptions, you are most likely to invoke the face of the person. The face has come to be a byword for one's reputation or honor, and a pronoun for an expression of the essence of the thing and the event. This is presumably true of other languages. That is because human beings are equipped with the universal rule of language. A comprehensive understanding of the face is a must for cosmetic surgeons whose main responsibility is to sculpt and repair the face (Fig. 1).

• Journal of KIISE
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• v.44 no.5
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• pp.496-502
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• 2017

Pointer Networks is a deep-learning model for the attention-mechanism outputting of a list of elements that corresponds to the input sequence and is based on a recurrent neural network (RNN). The coreference resolution for pronouns is the natural language processing (NLP) task that defines a single entity to find the antecedents that correspond to the pronouns in a document. In this paper, a pronoun coreference-resolution method that finds the relation between the antecedents and the pronouns using the Pointer Networks is proposed; furthermore, the input methods of the Pointer Networks-that is, the chaining order between the words in an entity-are proposed. From among the methods that are proposed in this paper, the chaining order Coref2 showed the best performance with an F1 of MUC 81.40 %. The method showed performances that are 31.00 % and 19.28 % better than the rule-based (50.40 %) and statistics-based (62.12 %) coreference resolution systems, respectively, for the Korean pronouns.

• Korean Journal of Logic
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• v.17 no.2
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• pp.253-287
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• 2014

In First-Order Logic the English expressions, 'any', 'every', 'all', and 'each' are treated on a par but have different meanings in the natural language usages. Especially the expression 'any' is typically used only in the negative contexts, which linguists have paid attention to and attempted to provide an adequate explanation of. I shall show that the explanations so far mainly from linguists are not satisfactory and revive the philosophical insights concerning the logical features of 'any' provided by Zeno Vendler in 1962. I shall claim that the expression 'any' has what Vendler calls the 'freedom of choice' as its primary meaning and denotes what Kit Fine calls an 'arbitrary object'. It will be shown that the logical features of 'any' are manifested more evidently in the analysis of the Korean expression 'amwu'. I believe that this analysis has significant philosophical implications. As an instance I shall show that we can take a fresh perspective on the problem which involves the universal generalization rule and the preface paradox.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.378-382
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• 2001

The purpose of this study was to develop an expert system supporting the diagnosis of diffuse interstitial lung disease by high resolution computed tomography. CLIPS(C language integrated production system) with rule-based reasoning was used to develop the system. Development of expert system had three stages knowledge acquisition, knowledge representation, and reasoning. Knowledge was obtained and integrated, from tables and figure legends of a representative textbook in the domain of this expert system, High-Resolution CT of the Lung, by Webb WR, Mueller NL, and Naidich DP. The acquired knowledge was analyzed to form a knowledge base. Overlapping knowledge was eliminated, similar pieces of knowledge were combined and professional terms were defined. The most important knowledge of findings was then selected for each disease. After groupings of combined findings were made, disease groups were analyzed sequentially to determine final diagnoses. The system was based upon the input of 69 diseases, 185 findings, 73 conditions, 387 status, and 62 rules. The system was set up to determine the diagnoses of diseases from the combination of findings using forward reasoning. In an empirical trial, the system was applied to support the diagnosis of 40 cases of diffuse interstitial lung diseases. The performance of two doctors with support of the system was compared to that of another two doctors without support of the system. The two doctors with the support of the system made more accurate diagnoses than the doctors without the support of the system. The system is believed to be useful for the diagnosis of rare diseases and for cases with many possible differential diagnoses. In conclusion, an expert system supporting the high resolution computed tomographic diagnosis of diffuse interstitial lung disease was developed and the system is thought to be useful for medical practice.

• Journal of KIISE:Computing Practices and Letters
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• v.6 no.3
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• pp.356-363
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• 2000

Java programming language is designed to run effectively on internet and distributed network environments. However, because it has a deficit to be executed by the interpreter method on each platform, to execute Java programs efficiently the code generation system which transforms Bytecode into SPARC code as target machine code must be developed. In this paper, we implement a code generation system which translates Bytecode into SPARC code using the retargetable code generating techniques. For the sake of code expander, we wrote a Bytecode table describing a rule of SPARC code generation from Bytecode, and implemented the information extractor transforming Bytecode to suitable form during expanding of source code from class file. The information extractor determines constant pool entry of each Bytecode instruction operand and then the code expander translates the Bytecode into SPARC code accoring to the Bytecode table. Also, the retargetable code generation system can be systematically reconfigured to generate code for a variety of distinct target computers.