• Journal of KIISE
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• v.43 no.7
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• pp.773-780
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• 2016

Semantic information and features are very important for Semantic Role Labeling(SRL) though many SRL systems based on machine learning mainly adopt lexical and syntactic features. Previous SRL research based on semantic information is very few because using semantic information is very restricted. We proposed the SRL system which adopts semantic information, such as named entity, word sense disambiguation, filtering adjunct role based on sense, synonym cluster, frame extension based on synonym dictionary and joint rule of syntactic-semantic information, and modified verb-specific numbered roles, etc. According to our experimentations, the proposed present method outperforms those of lexical-syntactic based research works by about 3.77 (Korean Propbank) to 8.05 (Exobrain Corpus) F1-scores.

• 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.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.11 no.4
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• pp.238-246
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• 2011

This paper proposes a new semantic representation and its associated similarity measure. The representation expresses textual context observed in a context of a certain term as a network where nodes are terms and edges are the number of cooccurrences between connected terms. To compare terms represented in networks, a graph kernel is adopted as a similarity measure. The proposed representation has two notable merits compared with previous semantic representations. First, it can process polysemous words in a better way than a vector representation. A network of a polysemous term is regarded as a combination of sub-networks that represent senses and the appropriate sub-network is identified by context before compared by the kernel. Second, the representation permits not only words but also senses or contexts to be represented directly from corresponding set of terms. The validity of the representation and its similarity measure is evaluated with two tasks: synonym test and unsupervised word sense disambiguation. The method performed well and could compete with the state-of-the-art unsupervised methods.

• Journal of Legislation Research
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• no.41
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• pp.43-85
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• 2011

Child and youth welfare law in Korea is vague and complex. In a narrow sense it means the research on the provisions of the Child Welfare Act. In a broad sense it embraces all of the social welfare system regarding to the protection for children and youth. Regardless of the scope of child and youth welfare law it should be cleared what the term of child and youth means in Korean legal regulation. Historically, child protection in Korea was based on the good intentions of individuals to protect war orphan children from poverty or danger after the end of the Korean War. It is the story of the evolving status of children from being viewed as dependant of the parents to becoming rights-based citizens, even not in Constitution. In Korea neither parents nor children have constitutionally recognized right. According to Korean Constitution the parents have only the obligation to educate their children. And the state ist obliged to improve the welfare of the youth(section 34). In compliance with this article there are lots of statutes regulating youth welfare. This article reviews the legal definition of child and youth to test the uncertain definition of child and youth welfare in relation to the treatment of children's and youth's legal status in Korea. According to the Child Welfare Act child is the person under age of 18, while the legal definition of youth oscillates between the person under the age of 19 and the person over the age 9 to the age of 23. As a result child welfare is often used as the synonym of youth welfare, and vice versa. The lack of the arrangement of the legal definition of child and youth is based on the historical reasons that the legal definitions of youth (under the age of 19 or over the age 9 to the age of 23) newly appeared in the statutes regulating youth welfare, whereas the Child Welfare Act still maintained the definition of child under the age of 18. In order to get rid of the confusion of the definition of the child and youth, a part of certain statues should combine with another Act according to the purpose of the individual amended statutes. And the definition of child and youth should be subdivided into 3 or 4 classes, namely infant(0-6), child(7-13), youth(14-18) and young adult(19-26). Furthermore this article proposes a reform of the existing legal system pursuant to the nature of the law, i.g. whether the issued or amended Act takes on a selective(residual) or universal character.