16 Result(s)
within
Information Storage and Retrieval
Seong-Bae Park
Chapter
Conference Paper
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Chapter and Conference Paper
Question Difficulty Estimation with Directional Modality Association in Video Question Answering
The questions in question-answering (QA) tasks have a different level of difficulty. Thus, a number of methods have been proposed to estimate a difficulty level of the questions. However, the existing methods ...
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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
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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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
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
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...
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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 ...
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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...
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Chapter and Conference Paper
Korean Compound Noun Decomposition Using Syllabic Information Only
The compound nouns are freely composed in Korean, since it is possible to concatenate independent nouns without a postposition. Therefore, the systems that handle compound nouns such as machine translation and...
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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...
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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...
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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...
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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 ...
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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...
