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  1. No Access

    Chapter and Conference Paper

    MetaOps: Metaverse Operations for Large-Scale Metaverse Services on Distributed Cloud

    Recently, the contactless lifestyle has shifted to a new paradigm due to social issues including diseases and natural disasters caused by COVID-19. In this study, the core technology ‘MetaOps’ is derived from ...

    Teh-Jen Sun, Seung-Woo Jeong, Hong-Ju Jeong in Advances in Computer Science and Ubiquitou… (2023)

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    Chapter and Conference Paper

    Smarteria: Intelligent Cafeteria Using Multimodal Data

    Convergence technologies including the Internet of Things, Big Data, and Artificial Intelligence can detect and respond to dangerous situations through real-time monitoring. Meanwhile, the cafeteria environmen...

    Yuri Seo, Teh-Jen Sun, Seol Roh, In-hun Choi in Advances in Computer Science and Ubiquitou… (2023)

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    Chapter and Conference Paper

    A Memory Replay-Based Continual Learning Utilizing Class Representative and Class Boundary Data

    It is known that deep learning models are performing beyond human beings if sufficient size of training data is provided. However, this is usually true only if a model is trained for a single task. If a model ...

    Jun-Beom Lee, Choong Seon Hong in Advances in Computer Science and Ubiquitou… (2023)

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    Chapter and Conference Paper

    Post-training with Data Augmentation for Improving T5-Based Question Generator

    Post-training is known to be effective for boosting the performance of a pre-trained language model. However, in the task of question generation, question generators post-trained with a well-designed training ...

    Gyu-Min Park, Seong-Eun Hong in Advances in Computer Science and Ubiquitou… (2023)

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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 ...

    Bong-Min Kim, Seong-Bae Park in Advances and Trends in Artificial Intellig… (2022)

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    Chapter and Conference Paper

    Robust Sentence Classification by Solving Out-of-Vocabulary Problem with Auxiliary Word Predictor

    In recent years, deep learning methods have achieved outstanding performances in sentence classification

    Sang-Seok Park, Yunseok Noh, Seyoung Park in PRICAI 2019: Trends in Artificial Intellig… (2019)

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    Chapter and Conference Paper

    A Generative Deep Learning for Generating Korean Abbreviations

    An abbreviation is a short form of a sequence of words or phrases. Abbreviations have been widely used as an efficient way of communicating within a human community, and nowadays they are used more widely and ...

    Su Jeong Choi, A-Yeong Kim, Seong-Bae Park in AI 2016: Advances in Artificial Intelligen… (2016)

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    Chapter and Conference Paper

    Generating Point of Interest Description with Geo-tagged Web Photos

    Generating description for Point of Interest (POI) has played a vital role in several applications such as tourist guide system, POI recommendation and so on. This paper proposes a novel approach to generate d...

    Thanh-Hieu Bui, A-Yeong Kim, Seong-Bae Park in Information Science and Applications (ICIS… (2016)

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    Chapter and Conference Paper

    Building a Vietnamese SentiWordNet Using Vietnamese Electronic Dictionary and String Kernel

    In this paper, we propose a novel approach to construct a Vietnamese SentiWordNet (VSWN), a lexical resource supporting sentiment analysis in Vietnamese. A SentiWordNet is typically generated from WordNet in whic...

    Xuan-Son Vu, Hyun-Je Song, Seong-Bae Park in Knowledge Management and Acquisition for S… (2014)

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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...

    Yong-** Han, Sang-Jo Lee, Se Young Park, Seong-Bae Park in Neural Information Processing (2013)

  11. No Access

    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 ...

    Yunseok Noh, Jeong-Woo Son, Seong-Bae Park in Neural Information Processing (2013)

  12. No Access

    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...

    Kye-Sung Kim, Su-Jeong Choi, Seong-Bae Park in PRICAI 2012: Trends in Artificial Intellig… (2012)

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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...

    HeeGuen Yoon, Soyeon Caren Han in Computer Applications for Software Enginee… (2012)

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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...

    Jeong-Woo Son, Seongtaek Kim, Seong-Bae Park, Yunseok Noh in Neural Information Processing (2011)

  15. No Access

    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...

    Kye-Sung Kim, Seong-Bae Park, Hyun-Je Song in PRICAI 2010: Trends in Artificial Intellig… (2010)

  16. No Access

    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...

    Tae-Gil Noh, Jae-Kul Lee, Seong-Bae Park in PRICAI 2010: Trends in Artificial Intellig… (2010)

  17. No Access

    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 ...

    Yong-** Han, Seong-Bae Park, Sang-Jo Lee in PRICAI 2010: Trends in Artificial Intellig… (2010)

  18. No Access

    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 ...

    Tae-Gil Noh, Yong-** Han, Seong-Bae Park in Computer Processing of Oriental Languages.… (2009)

  19. No Access

    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...

    Jeong-Woo Son, Hyun-Je Song, Seong-Bae Park, Se-Young Park in Advances in Machine Learning (2009)

  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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