• Korean Linguistics
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• v.78
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• pp.31-54
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• 2018

'맞다(right)', which is inversely related to 'teullida', has a synonymic relationship with '같다(same)' depending on the sense. Naturally, the '같다' is usually inversely related to '다르다(be different)' as symmetry verb. The meaning of '다르다' is 'teullida' and there is a close meaning relationship network in the network of words. In other words, the process acting as a driver of the expansion of meanings based on the antonym-relation of (1)'틀리다${\leftrightarrow}$맞다', and the s?ynonym-relation of (2)'맞다 = 같다' forms a network, and the relation between them and the opposite semantics is (3)'같다=맞다${\leftrightarrow}$다르다'. And many of today's speakers speak (4)'teullida' of [difference]. Therefore, after the application of the synonymic analogy, eventually, the antonymic analogy is formed, and the word formed is 'teullida' of [difference]. This, of course, forms another type of enlargement of the meaning.

• Journal of the Korean Society of Safety
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• v.22 no.2 s.80
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• pp.28-35
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• 2007

The terminological definition of 'safety' is difficult because the word has an meaning and the usage is too wide and various in itself. There could be various meanings of 'safety' according to the specific area on which the term is used. Even though the variety is permitted, a definition on the term of 'safety' is necessary not only to raise the understanding of consistent terminological meaning but also to make assure the perfectness on all of the applications. The term of 'safety' can be understood clearly by the comparison with the antonym and the synonym, and the limitation of the usage can be established through the comparative studies. Comparing with the antonym such as 'risk', 'safety' implies the recognition and prevention of the danger before an accident or a disaster occurs. Comparing with another antonym of 'disaster', 'safety' comprehends all the saving activities for the disaster and the measures to prevent the spread of collateral damages. The comparison with the synonym, 'security' shows that 'safety' can include the prevention of intentional mishaps. The Korean word of 'safety' might be selected by a scholar who was well educated to understand Chinese language and certain canonical texts written in Chinese. The etymological study of 'safety' was concentrated on I-ching which has been believed that could foretell a future and show a measure to prevent bad luck by performing good virtue in the life. The Korean word of 'safety' might come from Xicizhuan(Great treatise) which is known as one of ten commentaries for I-ching. The texts from Xicizhuan describes that all of the explanations about safety which could be translated to the principles of safety nowadays.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.8 no.6
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• pp.544-550
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• 2015

The opinion mining technique which analogize significant information from SNS message is increasingly important because opinions communicated through SNS are increasing. This paper propose SEIAS(SNS Emotional Information Analysis Strategy) based on opinion mining that analogize emotional information from SNS setting a different weight according to position of antonym and adverb. Firstly, the proposed SEIAS constructs a emotion dictionary for opinion mining analysis, Secondly, it collects SNS data on real time, compare it with emotion dictionary and calculates opinion value of SNS data. Specially, it increases the precision of opinion analysis result compared to the existing SO-PMI because it sets up the different value according to the position of antonym and adverb when it calculates the opinion value of data.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.2
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• pp.235-242
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• 2004

The purpose of this study was to develop a scale for the evaluation of the subjective fabric hand. In order to find out the appropriate method for the evaluation, bipolar adjectives were compared to unipolar adjectives. One hundred female university students we.e selected as judges. They assessed 9 fabrics using the 9 point scale system for both bipolar and unipolar adjectives. When using the bipola. scale, judges responded more consistently showing smaller deviation among their responses. The Judges seemed to understand the meanings of adjectives in the bipolar scale more clearly than in the unipolar scale. Unipolar scale has twice the number of questions than bipolar scale does. Therefore. judges often felt bored responding to the questions using unipolar adjectives. If the appropriate antonym can be found through verified method, bipolar scale seems to have more advantages than unipolar scale.

• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.4
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• pp.325-331
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• 2013

This paper a framework and method for resolving word sense disambiguation and present the results. In this work, WordNet is used for two different purposes: one as a dictionary and the other as an ontology, containing the hierarchical structure, representing hypernym-hyponym relations. The advantage of this approach is twofold. First, it provides a very simple method that is easily implemented. Second, we do not suffer from the lack of large corpus data which would have been necessary in a statistical method. In the future this can be extended to incorporate other relations, such as synonyms, meronyms, and antonyms.

• Journal of Fashion Business
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• v.9 no.6
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• pp.86-100
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• 2005

This paper has examined how ugliness has aesthetically been portrayed in modern make-up. In the past, ugliness was regarded as an antonym of beauty, but it recently plays a role on part of beauty, as independent portion of art. It was Schegel who initially maintained the view. According to his theory, ugliness represents interesting things including suffering reality, shock, attention, humor, surprises brought by distort and deformation. Hegel had a different view on it. As for him, he had the notion that ugliness was the opposite to beauty and that it had to be dependent in art, he argued that art was subordinate to philosophy, and that it was just nostalgia for the past, not representing reality, therefore, it could not be a foothold in contemporary art. In this context, some images of ugliness can be classified accordingly to Schegel's view deteste, decadence and androgynous can be fallen into a category describing reality; fetish, kitsch and grotesque can be included in interesting things. There is no fine line between the two. There are sometimes things they have in common. They mutually draw attentions by distancing themselves from general images of beauty, or making many changes and distorts in its part, using unique materials, unprecedented attempts of colors which result in creative and shocking images. Attempts made in ugly images in modern art are widening its concept to depicting reality on the body of human beings, also creating its new definition, playing a major role in independent part of modern art, not in the past way like wearing make-up on the face to make it look better.

• Journal of English Language & Literature
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• v.57 no.3
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• pp.457-472
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• 2011

The word "subject," like its apparent antonym "agent" is ambiguous. By "speaking subject" I intend both meanings: the spoken about, and the speaker, and the spoken about, in more or less that order. The paper contrasts the way women are spoken about in the 19^th Century debate over the role of women between John Ruskin and John Mill, and then in literary criticism of feminists nearer our own time, Kate Millet and Elizabeth Langland. I then move on to women as speaking subjects, first in the form of an imaginary speaking subject created by a male speaker, Charles Dickens channeling the confessional journal of Esther Summerson in Bleak House. The comparison with Elizabeth Gaskell, a genuine speaking subject, is highly instructive. I draw attention to symmetrical, in the sense of opposite, narrative strategies. Where Dickens begins in journalese, with a gritty, realistic opening that only gradually reveals a Cinderella in the ashes, Gaskell begins with a nursery rhyme, in an actual nursery, but goes on to reveal some rather sordid economic facts. Where Dickens creates a ventriloquist's doll, Gaskell succeeds in creating recognizable, if not always admirable, female voices. I conclude that just as the novel may be read as a real utterance in a real conversation, it is also possible to read the true emergence of women novelists in the 19^th Century as nothing more and nothing less than the creation of the first truly womanly words about women: women as speaking subjects in both senses of the word.

• Journal of the Korea Society of Computer and Information
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• v.18 no.9
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• pp.131-138
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• 2013

In this paper, I propose and evaluate the method that classifies emotional type of characters with their emotional words. Emotional types are classified as three types such as positive, negative and neutral. They are selected by classification of emotional words that characters speak. I propose the method to extract emotional words based on WordNet, and to represent as emotional vector. WordNet is thesaurus of network structure connected by hypernym, hyponym, synonym, antonym, and so on. Emotion word is extracted by calculating its emotional distance to each emotional category. The number of emotional category is 30. Therefore, emotional vector has 30 levels. When all emotional vectors of some character are accumulated, her/his emotion of a movie can be represented as a emotional vector. Also, thirty emotional categories can be classified as three elements of positive, negative, and neutral. As a result, emotion of some character can be represented by values of three elements. The proposed method was evaluated for 12 characters of four movies. Result of evaluation showed the accuracy of 75%.

• KIISE Transactions on Computing Practices
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• v.23 no.4
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• pp.226-231
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• 2017

Word representation, an important area in natural language processing(NLP) used machine learning, is a method that represents a word not by text but by distinguishable symbol. Existing word embedding employed a large number of corpora to ensure that words are positioned nearby within text. However corpus-based word embedding needs several corpora because of the frequency of word occurrence and increased number of words. In this paper word embedding is done using dictionary definitions and semantic relationship information(hypernyms and antonyms). Words are trained using the feature mirror model(FMM), a modified Skip-Gram(Word2Vec). Sense similar words have similar vector. Furthermore, it was possible to distinguish vectors of antonym words.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.8 no.6
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• pp.36-45
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• 2009

Recently, there are interested in the automatic traffic flowing and accident detection using various low level information from video in the road. In this paper, the automatic traffic flowing and algorithm, and application of traffic accident detection using traffic management systems are studied. To achieve these purposes, the spatio-temporal relation models using topological and directional relations have been made, then a matching of the proposed models with the directional motion verbs proposed by Levin's verbs of inherently directed motion is applied. Finally, the synonym and antonym are inserted by using WordNet. For the similarity measuring between proposed modeling and trajectory of moving object in the video, the objects are extracted, and then compared with the trajectories of moving objects by the proposed modeling. Because of the different features with each proposed modeling, the rules that have been generated will be applied to the similarity measurement by TSR (Tangent Space Representation). Through this research, we can extend our results to the automatic accident detection of vehicle using CCTV.