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  1. No Access

    Article

    Question difficulty estimation via enhanced directional modality association transformer

    Estimating the difficulty of a question in video QAs is one of the important reasoning steps to answer the question. However, no previous question difficulty estimators consider the association between multipl...

    Bong-Min Kim, Gyu-Min Park, Seong-Bae Park in Applied Intelligence (2023)

  2. No Access

    Article

    A response generator with response-aware encoder for generating specific and relevant responses

    The dialogue data usually consist of the pairs of a query and its response, but no previous response generators have exploited the responses explicitly in their training while a response provides significant i...

    So-Eon Kim, Hyun-Je Song, Seong-Bae Park in Soft Computing (2023)

  3. 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)

  4. No Access

    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)

  5. No Access

    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)

  6. No Access

    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)

  7. No Access

    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)

  8. No Access

    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)

  9. No Access

    Article

    Mining fine-grained sequential travel patterns from social geo-tagged photos

    Thanh-Hieu Bui, Seong-Bae Park in Frontiers of Computer Science (2018)

  10. No Access

    Article

    Identifying intention posts in discussion forums using multi-instance learning and multiple sources transfer learning

    This paper proposes a novel method for identifying intention posts in discussion forums. The main problem of identifying intention posts in discussion forums is that there exist a few intention sentences even ...

    Hyun-Je Song, Seong-Bae Park in Soft Computing (2018)

  11. No Access

    Article

    Enhancement of refractive outcomes of small-incision lenticule extraction via tear-film control

    To suggest that tear film is a refractive outcome predictor in small-incision lenticule extraction (SMILE) for myopia and describe methods of controlling the tear film and its effects on refractive outcomes.

    Il Hwan Koh, Kyoung Yul Seo, Seong Bae Park in Graefe's Archive for Clinical and Experime… (2018)

  12. Article

    Open Access

    Automated extraction of Biomarker information from pathology reports

    Pathology reports are written in free-text form, which precludes efficient data gathering. We aimed to overcome this limitation and design an automated system for extracting biomarker profiles from accumulated...

    Jeongeun Lee, Hyun-Je Song, Eunsil Yoon in BMC Medical Informatics and Decision Making (2018)

  13. No Access

    Article

    Point of interest mining with proper semantic annotation

    Mining geo-tagged social photo media has received large amounts of attention from researchers recently. Points of interest (POI) mining from a collection of geo-tagged photos is one of these problems. POI mini...

    Thanh-Hieu Bui, Seong-Bae Park in Multimedia Tools and Applications (2017)

  14. No Access

    Article

    A single-directional influence topic model using call and proximity logs simultaneously

    Understanding social interactions is one of the key factors in the development of context-aware ubiquitous applications. Identifying interaction patterns sensed by a mobile device is one possible way for under...

    Yong-** Han, Se-Young Park, Seong-Bae Park in Soft Computing (2017)

  15. No Access

    Article

    A just-in-time keyword extraction from meeting transcripts using temporal and participant information

    In a meeting, it is often desirable to extract the keywords from each utterance as soon as it is spoken. Therefore, this paper proposes a just-in-time keyword extraction from meeting transcripts. The proposed ...

    Hyun-Je Song, Junho Go, Seong-Bae Park in Journal of Intelligent Information Systems (2017)

  16. No Access

    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)

  17. No Access

    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)

  18. No Access

    Article

    Using MCRDR based Agile approach for expert system development

    Various expert system development approaches were proposed but most of them cannot deal with two problems: the difficulty of analysis and maintenance. Rather than to spend time waiting any longer, it is better...

    Soyeon Caren Han, Hee-Geun Yoon, Byeong Ho Kang, Seong-Bae Park in Computing (2014)

  19. No Access

    Book and Conference Proceedings

    PRICAI 2014: Trends in Artificial Intelligence

    13th Pacific Rim International Conference on Artificial Intelligence, Gold Coast, QLD, Australia, December 1-5, 2014. Proceedings

    Duc-Nghia Pham, Seong-Bae Park in Lecture Notes in Computer Science (2014)

  20. No Access

    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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