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  1. No Access

    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)

  2. No Access

    Chapter and Conference Paper

    Classification of the Risk Types of Human Papillomavirus by Decision Trees

    The high-risk type of Human Papillomavirus (HPV) is the main etiologic factor of cervical cancer, which is a leading cause of cancer deaths in women worldwide. Therefore, classifying the risk type of HPVs is v...

    Seong-Bae Park, Sohyun Hwang in Intelligent Data Engineering and Automated… (2003)

  3. No Access

    Chapter and Conference Paper

    Large Scale Unstructured Document Classification Using Unlabeled Data and Syntactic Information

    Most document classification systems consider only the distribution of content words of the documents, ignoring the syntactic information underlying the documents though it is also an important factor. In this...

    Seong-Bae Park, Byoung-Tak Zhang in Advances in Knowledge Discovery and Data Mining (2003)

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    Chapter and Conference Paper

    Automatic Webpage Classification Enhanced by Unlabeled Data

    This paper describes a novel method for webpage classification that uses unlabeled data. The proposed method is based on a sequential learning of the classifiers which are trained on a small number of labeled ...

    Seong-Bae Park, Byoung-Tak Zhang in Intelligent Data Engineering and Automated Learning (2003)

  5. No Access

    Article

    Word Sense Disambiguation by Learning Decision Trees from Unlabeled Data

    In this paper we describe a machine learning approach to word sense disambiguation that uses unlabeled data. Our method is based on selective sampling with committees of decision trees. The committee members a...

    Seong-Bae Park, Byoung-Tak Zhang, Yung Taek Kim in Applied Intelligence (2003)

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    Chapter and Conference Paper

    Part-of-Speech Tagging and PP Attachment Disambiguation Using a Boosted Maximum Entropy Model

    We have proposed previously a boosted maximum entropy model to overcome three major problems in applying the maximum entropy models to text chunking [1]: (i) feature selection, (ii) high computational complexity,...

    Seong-Bae Park, Jangmin O, Sang-Jo Lee in PRICAI 2004: Trends in Artificial Intelligence (2004)

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    Chapter and Conference Paper

    Genetic Mining of DNA Sequence Structures for Effective Classification of the Risk Types of Human Papillomavirus (HPV)

    Human papillomavirus (HPV) is considered to be the most common sexually transmitted disease and the infection of HPV is known as the major factor for cervical cancer. There are more than 100 types in HPV and e...

    Jae-Hong Eom, Seong-Bae Park, Byoung-Tak Zhang in Neural Information Processing (2004)

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    Chapter and Conference Paper

    PromSearch: A Hybrid Approach to Human Core-Promoter Prediction

    This paper presents an effective core-promoter prediction system on human DNA sequence. The system, named PromSearch, employs a hybrid approach which combines search-by-content method and search-by-signal meth...

    Byoung-Hee Kim, Seong-Bae Park in Intelligent Data Engineering and Automated… (2004)

  9. No Access

    Chapter and Conference Paper

    Constructing an Ontology Based on Terminology Processing

    An ontology consists of a set and definition of concepts that presents the characteristics of a given domain and relationship between the elements. This paper proposes a semiautomatic method to construct a dom...

    Soo-Yeon Lim, Seong-Bae Park, Sang-Jo Lee in Knowledge-Based Intelligent Information an… (2005)

  10. Chapter and Conference Paper

    An Automatic Approach to Classify Web Documents Using a Domain Ontology

    This paper suggests an automated method for document classification using an ontology, which expresses terminology information and vocabulary contained in Web documents by way of a hierarchical structure. Onto...

    Mu-Hee Song, Soo-Yeon Lim, Seong-Bae Park in Pattern Recognition and Machine Intelligen… (2005)

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    Chapter and Conference Paper

    Automatic Word Spacing in Korean for Small Memory Devices

    Automatic word spacing will be a very useful tool in a SMS (simple message service) , if it can be commercially served. However, the problems of implementing it in the devices such as mobile phones are small m...

    Seong-Bae Park, Eun-Kyung Lee, Yoon-Shik Tae in Innovations in Applied Artificial Intellig… (2005)

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    Chapter and Conference Paper

    Document Retrieval Using Semantic Relation in Domain Ontology

    This paper proposes a semiautomatic method to build a domain ontology using the results of text analysis and applies it to a document retrieval system. In order to present usefulness for retrieving a document ...

    Soo-Yeon Lim, Seong-Bae Park, Sang-Jo Lee in Advances in Web Intelligence (2005)

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    Chapter and Conference Paper

    Semantic Query Expansion Based on a Question Category Concept List

    When confronted with a query, question answering systems endeavor to extract the most exact answers possible by determining the answer type that fits with the query and the key terms used in the query. However...

    Hae-Jung Kim, Bo-Yeong Kang, Seong-Bae Park in Digital Libraries: International Collabora… (2005)

  14. No Access

    Chapter and Conference Paper

    Clause Boundary Recognition Using Support Vector Machines

    This paper proposes a method for Korean clause boundary recognition. Clause boundary identification can be regarded as a three-class classification task, and it can be converted into a two-phase binary classif...

    Hyun-Ju Lee, Seong-Bae Park, Sang-Jo Lee in PRICAI 2006: Trends in Artificial Intellig… (2006)

  15. No Access

    Chapter and Conference Paper

    Program Plagiarism Detection Using Parse Tree Kernels

    Many existing plagiarism detection systems fail in detecting plagiarism when there are an abundant garbage in the copied programs. This is because they do not use the structural information efficiently. In thi...

    Jeong-Woo Son, Seong-Bae Park, Se-Young Park in PRICAI 2006: Trends in Artificial Intellig… (2006)

  16. No Access

    Chapter and Conference Paper

    Ontology-Based Automatic Classification of Web Pages

    The use of ontology in order to provide a mechanism to enable machine reasoning has continuously increased during the last few years.This paper suggests an automated method for document classification using an...

    Mu-Hee Song, Soo-Yeon Lim, Seong-Bae Park in Applied Soft Computing Technologies: The C… (2006)

  17. No Access

    Chapter and Conference Paper

    Vehicle Color Classification Based on the Support Vector Machine Method

    We present a vehicle color classification method from outdoor vehicle images. Although the vehicle color recognition is important especially for the newest applications including ITS (intelligent transportatio...

    Nakhoon Baek, Sun-Mi Park, Ku-** Kim in Advanced Intelligent Computing Theories an… (2007)

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    Chapter and Conference Paper

    Dinucleotide Step Parameterization of Pre-miRNAs Using Multi-objective Evolutionary Algorithms

    MicroRNAs (miRNAs) form a large functional family of small noncoding RNAs and play an important role as posttranscriptional regulators, by repressing the translation of mRNAs. Recently, the processing mechanis...

    **-Wu Nam, In-Hee Lee, Kyu-Baek Hwang in Evolutionary Computation,Machine Learning … (2007)

  19. No Access

    Chapter and Conference Paper

    Dependency Analysis of Clauses Using Parse Tree Kernels

    Identification of dependency relation among clauses is one of the most critical parts in parsing Korean sentences because it generates severe ambiguities. The resolution of the ambiguities involves both syntac...

    Sang-Soo Kim, Seong-Bae Park, Sang-Jo Lee in Computational Linguistics and Intelligent … (2007)

  20. No Access

    Chapter and Conference Paper

    Identification of Subject Shareness for Korean-English Machine Translation

    One of the most critical issues in translating Korean into other languages is the common use of empty arguments. Since even mandatory elements in Korean are often dropped unlike English, the missing elements s...

    Kye-Sung Kim, Seong-Bae Park, Hyun-Je Song in PRICAI 2008: Trends in Artificial Intellig… (2008)

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