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    Chapter and Conference Paper

    Machine Translation Systems: E-K, K-E, J-K, K-J

    We present four kinds of machine translation system in this description: E-K (English to Korean), K-E (Korean to English), J-K (Japanese to Korean), K-J (Korean to Japanese). Among these, E-K and K-J translati...

    Yu Seop Kim, Sung Dong Kim, Seong Bae Park in Envisioning Machine Translation in the Inf… (2000)

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    Chapter and Conference Paper

    An Empirical Study on Dimensionality Optimization in Text Mining for Linguistic Knowledge Acquisition

    In this paper, we try to find empirically the optimal dimensionality in data-driven models, Latent Semantic Analysis (LSA) model and Probabilistic Latent Semantic Analysis (PLSA) model. These models are used f...

    Yu-Seop Kim, Jeong-Ho Chang in Advances in Knowledge Discovery and Data M… (2003)

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    Chapter and Conference Paper

    An Intelligent Grading System for Descriptive Examination Papers Based on Probabilistic Latent Semantic Analysis

    In this paper, we developed an intelligent grading system, which scores descriptive examination papers automatically, based on Probabilistic Latent Semantic Analysis (PLSA). For grading, we estimated semantic ...

    Yu-Seop Kim, Jung-Seok Oh, Jae-Young Lee in AI 2004: Advances in Artificial Intelligen… (2005)

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    Chapter and Conference Paper

    An Intelligent Grading System Using Heterogeneous Linguistic Resources

    In this paper, we propose an intelligent grading system using heterogeneous linguistic resources. We used latent semantic kernel as one resource in former research and found that a deficit of indexed terms gav...

    Yu-Seop Kim, Woo-** Cho, Jae-Young Lee in Intelligent Data Engineering and Automated… (2005)

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    Chapter and Conference Paper

    A Multi-phase Semi-supersense Tagging of Korean Unknown Nouns

    Supersense tagging is a problem of finding a corresponding semantic super tag (eg. Phenomenon, Act) based on syntactic information and annotated corpora. However, we employ semantic information rather than syn...

    Young-Bum Kim, Jung-Kuk Lee, Yu-Seop Kim in Convergence and Hybrid Information Technology (2012)

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    Chapter and Conference Paper

    KOST: Korean Semantic Tagger ver. 1.0

    Despite that the semantic annotated corpus data is necessary in semantic role labeling of natural language processing, the data set is not quite enough in Korean language. Semantic role labeling is to tag a se...

    Hye-Jeong Song, Chan-Young Park in Computer Applications for Database, Educat… (2012)

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    Chapter and Conference Paper

    Construction of Korean Semantic Annotated Corpus

    Semantic role labeling is to determine semantic relationships between a predicate and its arguments in a sentence. Although semantic annotated corpus should be necessary to do the labeling, unfortunately, Kore...

    Hye-Jeong Song, Chan-Young Park in Computer Applications for Database, Educat… (2012)