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Chapter and Conference Paper
Detection of Error-Prone Cases for Word Sense Disambiguation
Word sense disambiguation (WSD) is essential for natural language understanding applications such as machine translation, question & answering, and natural language interface, since the performance of such app...
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Chapter and Conference Paper
Keyword Extraction from Dialogue Sentences Using Semantic and Topical Relatedness
Dialogue reflects interests of the participants at that moment. Thus, it is desirable to extract keywords from each dialogue sentence as soon as they are spoken, because the keywords from dialogue can be used ...
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Chapter and Conference Paper
A Two-Step Zero Pronoun Resolution by Reducing Candidate Cardinality
The high cardinality of antecedent candidates is one of the major reasons which make zero pronoun resolution difficult. To improve performance, it is necessary to reduce this cardinality before defining the fe...
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Chapter and Conference Paper
V&V to Use Agile Approach in ES Development: Why RDR Works for Expert System Developments!
In artificial intelligence, many researchers have proposed several expert system development approaches but most of them failed to deal with two issues, maintenance and analysis. It is better to find an altern...
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Article
Hydrophilic acrylic intraocular lens optic opacification in a diabetic patient
To report clinicopathologic and ultrastructural feature of one opacified hydrophilic acrylic intraocular lens (IOL) explanted from a diabetic patient.
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Article
Assessment of narrow angles by gonioscopy, Van Herick method and anterior segment optical coherence tomography
To evaluate anterior chamber (AC) angles using gonioscopy, Van Herick technique and anterior segment optical coherence tomography (AS-OCT).
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Chapter and Conference Paper
Expanding Knowledge Source with Ontology Alignment for Augmented Cognition
Augmented cognition on sensory data requires knowledge sources to expand the abilities of human senses. Ontologies are one of the most suitable knowledge sources, since they are designed to represent human kno...
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Article
Open AccessHit integration for identifying optimal spaced seeds
Introduction of spaced speeds opened a way of sensitivity improvement in homology search without loss of search speed. Since then, the efforts of finding optimal seed which maximizes the sensitivity have been ...
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Chapter and Conference Paper
Identification of Non-referential Zero Pronouns for Korean-English Machine Translation
The common use of null arguments is one of the most critical issues in pro-drop languages. When translating Korean into other languages, the omitted elements should be replaced with appropriate pronouns to get...
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Chapter and Conference Paper
Tag Quality Feedback: A Framework for Quantitative and Qualitative Feedback on Tags of Social Web
A feedback framework is proposed in this paper to assist Web 2.0 users’ taggings. A new measure called Estimated Daily Visit is defined and proposed as the measure for tag quality. Quantitative and qualitative fe...
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Chapter and Conference Paper
Ranking Entities Similar to an Entity for a Given Relationship
This paper proposes a similarity ranking method for entities in the real world. Real world entities like people or objects often have some relationship between themselves. Finding such relationships from real ...
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Article
Open AccessAn empirical study of choosing efficient discriminative seeds for oligonucleotide design
Oligonucleotide design is known as a time-consuming work in bioinformatics. In order to accelerate and be efficient the oligonucleotide design process, one of widely used approach is the prescreening unreliabl...
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Article
Glaucoma diagnostic performance of humphrey matrix and standard automated perimetry
To evaluate and compare the performance of Humphrey Matrix perimetry (Matrix) and standard automated perimetry (SAP) for glaucoma discrimination.
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Chapter and Conference Paper
Processing of Korean Natural Language Queries Using Local Grammars
For casual web users, a natural language is more accessible than formal query languages. However, understanding of a natural language query is not trivial for computer systems. This paper proposes a method to ...
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Chapter and Conference Paper
Co** with Distribution Change in the Same Domain Using Similarity-Based Instance Weighting
Lexicons are considered as the most crucial features in natural language processing (NLP), and thus often used in machine learning algorithms applied to NLP tasks. However, due to the diversity of lexical spac...
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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...
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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...
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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...
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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...
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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...
