International Journal

  1. Son, S., Park, C., Lee, J., Shim, M., Lee, C., Jang, Y., … & Lim, H. (2025). An analysis on language transfer of pre-trained language model with cross-lingual post-training. Expert Systems with Applications267, 125841.
  2. Son, S., Lim, J., Koo, S., Kim, J., Kim, Y., Lim, Y., … & Lim, H. (2024). A large-scale dataset for korean document-level relation extraction from encyclopedia texts. Applied Intelligence54(17), 8681-8701.
  3. Moon, H., Kang, M., Seo, J., Eo, S., Park, C., Yang, Y., & Lim, H. (2024). Exploiting Hanja-based Resources in Processing Korean Historic Documents written by Common Literati. IEEE Access.
  4. Park, C., Koo, S., Kim, G., & Lim, H. (2024). Towards Harnessing the Most of ChatGPT for Korean Grammatical Error Correction. Applied Sciences14(8), 3195.
  5. Kim, J., Koo, S., & Lim, H. (2023). A Multi-Faceted Exploration Incorporating Question Difficulty in Knowledge Tracing for English Proficiency Assessment. Electronics12(19), 4171.
  6. Kim, J., Kim, G., Son, J., & Lim, H. (2023). Prompt language learner with trigger generation for dialogue relation extraction. Applied Sciences13(22), 12414.
  7. Jung, D., Park, C., Eo, S., & Lim, H. (2023). Enhancing Machine Translation Quality Estimation via Fine-Grained Error Analysis and Large Language Model. Mathematics11(19), 4169.
  8. Koo, S., Park, C., Lee, S., Seo, J., Eo, S., Moon, H., & Lim, H. (2023). Uncovering the Risks and Drawbacks Associated with the Use of Synthetic Data for Grammatical Error Correction. IEEE Access.
  9. Lim, J., Whang, T., Lee, D., & Lim, H. (2023). Adaptive Multi-Domain Dialogue State Tracking on Spoken Conversations. IEEE/ACM Transactions on Audio, Speech, and Language Processing.
  10. Lee, S., Lee, J., Moon, H., Park, C., Seo, J., Eo, S., … & Lim, H. (2023). A survey on evaluation metrics for machine translation. Mathematics, 11(4), 1006.
  11. Moon, H., Park, C., Koo, S., Lee, J., Lee, S., Seo, J., … & Lim, H. (2023). Doubts on the reliability of parallel corpus filtering. Expert Systems with Applications, 233, 120962.
  12. Koo, S., Park, C., Seo, J., Lee, S., Moon, H., Lee, J., & Lim, H. (2022). K-nct: Korean neural grammatical error correction gold-standard test set using novel error type classification criteria. IEEE Access, 10, 118167-118175.
  13. Seo, J., Moon, H., Lee, C., Eo, S., Park, C., Kim, J., … & Lim, H. (2022). Plain template insertion: korean-prompt-based engineering for few-shot learners. IEEE Access10, 107587-107597.
  14. Park, C., Seo, J., Lee, S., Lee, C., & Lim, H. (2022). The ASR Post-Processor Performance Challenges of BackTranScription (BTS): Data-Centric and Model-Centric Approaches. Mathematics10(19), 3618.
  15. Oh, D., Lim, J., Park, K., & Lim, H. (2022). Semantic Representation Using Sub-Symbolic Knowledge in Commonsense Reasoning. Applied Sciences, 12(18), 9202.
  16. Oh, D., Lim, J., & Lim, H. (2022). Neuro-Symbolic Word Embedding Using Textual and Knowledge Graph Information. Applied Sciences12(19), 9424.
  17. Seo, J., Oh, D., Eo, S., Park, C., Yang, K., Moon, H., … & Lim, H. (2022). PU-GEN: Enhancing generative commonsense reasoning for language models with human-centered knowledge. Knowledge-Based Systems256, 109861.
  18. Kang, M., Seo, J., Park, C., & Lim, H. (2022). Utilization strategy of user engagements in korean fake news detection. IEEE Access, 10, 79516-79525.
  19. Lee, J., Moon, H., Park, C., Seo, J., Eo, S., & Lim, H. (2022). BERTOEIC: Solving TOEIC problems using simple and efficient data augmentation techniques with pretrained transformer encoders. Applied Sciences, 12(13), 6686.
  20. Park, C., Shim, M., Eo, S., Lee, S., Seo, J., Moon, H., & Lim, H. (2022). Empirical analysis of parallel corpora and in-depth analysis using LIWC. Applied Sciences, 12(11), 5545.
  21. Son, J., Moon, H., Lee, J., Lee, S., Park, C., Jung, W., & Lim, H. (2022). AI for patents: A novel yet effective and efficient framework for patent analysis. IEEE Access10, 59205-59218.
  22. Moon, H., Lee, T., Seo, J., Park, C., Eo, S., Aiyanyo, I. D., … & Park, K. (2022). Return on Advertising Spend Prediction with Task Decomposition-Based LSTM Model. Mathematics10(10), 1637.
  23. Jeong, S., Oh, D., Park, K., & Lim, H. (2022). Considering Commonsense in Solving QA: Reading Comprehension with Semantic Search and Continual Learning. Applied Sciences12(9), 4099.
  24. Kim, G., Lee, S., Park, C., & Jo, J. (2022). AI student: A machine reading comprehension system for the Korean college scholastic ability test. Mathematics, 10(9), 1486.
  25. Eo, S., Park, C., Moon, H., Seo, J., & Lim, H. (2022). Word-level quality estimation for Korean-English neural machine translation. IEEE Access, 10, 44964-44973.
  26. Seo, J., Lee, T., Moon, H., Park, C., Eo, S., Aiyanyo, I. D., … & Park, J. (2022). Dense-to-question and sparse-to-answer: Hybrid retriever system for industrial frequently asked questions. Mathematics10(8), 1335.
  27. Park, C., Go, W. Y., Eo, S., Moon, H., Lee, S., & Lim, H. (2022). Mimicking infants’ bilingual language acquisition for domain specialized neural machine translation. IEEE Access10, 38684-38693.
  28. Moon, H., Park, C., Seo, J., Eo, S., & Lim, H. (2022). An automatic post editing with efficient and simple data generation method. IEEE Access10, 21032-21040.
  29. Kim, G., Son, J., Kim, J., Lee, H., & Lim, H. (2021). Enhancing Korean named entity recognition with linguistic tokenization strategies. IEEE Access9, 151814-151823.
  30. Lee, S., Yang, K., Park, C., Sedoc, J., & Lim, H. (2021). Who speaks like a style of vitamin: Towards syntax-aware dialogue summarization using multi-task learning. IEEE Access9, 168889-168898.
  31. Jeon, B. U., & Chung, K. (2022). CutPaste-Based Anomaly Detection Model using Multi Scale Feature Extraction in Time Series Streaming Data. KSII Transactions on Internet & Information Systems, 16(8).
  32. Lee, S., Park, C., Seo, J., & Lim, H. (2022). Error Analysis of Recent Conversational Agent-based Commercialization Education Platform. Journal of the Korea Convergence Society, 13(3), 11-22.
  33. Lee, S., Kim, G., & Lim, H. (2022). Verification of educational goal of reading area in Korean SAT through natural language processing techniques. Journal of the Korea Convergence Society, 13(1), 81-88.
  34. Lee, H., Kim, G., Hur, Y., & Lim, H. (2021). Visual thinking of neural networks: Interactive text to image synthesis. IEEE Access, 9, 64510-64523.
  35. Aiyanyo, I. D., Samuel, H., & Lim, H. (2021). Effects of the COVID-19 pandemic on classrooms: A case study on foreigners in South Korea using applied machine learning. Sustainability, 13(9), 4986.
  36. Kang, J., & Yu, H. (2021). Gpgpu task scheduling technique for reducing the performance deviation of multiple GPGPU tasks in RPC-based GPU virtualization environments. Symmetry, 13(3), 508.
  37. Kim, S. H., Park, K., Yoon, S., Choi, Y., Lee, S. H., & Choi, K. H. (2021). A brief online and offline (paper-and-pencil) screening tool for generalized anxiety disorder: The final phase in the development and validation of the mental health screening tool for anxiety disorders (MHS: A). Frontiers in psychology, 12, 639366.
  38. Park, S., Whang, T., Yoon, Y., & Lim, H. (2021). Multi-view attention network for visual dialog. Applied Sciences, 11(7), 3009.
  39. Kwon, S., Oh, D., & Ko, Y. (2021). Word sense disambiguation based on context selection using knowledge-based word similarity. Information Processing & Management58(4), 102551.
  40. Lee, C., Yang, K., Whang, T., Park, C., Matteson, A., & Lim, H. (2021). Exploring the data efficiency of cross-lingual post-training in pretrained language models. Applied Sciences, 11(5), 1974.
  41. Hur, Y., & Jo, J. (2021). Development of intelligent information system for digital cultural contents. Mathematics, 9(3), 238.
  42. Lee, C., Kim, Y. B., Ji, H., Lee, Y., Hur, Y., & Lim, H. (2021). On the redundancy in the rank of neural network parameters and its controllability. Applied Sciences, 11(2), 725.
  43. Kim, K., Park, C., Seo, J., & Lim, H. (2021). Grounded vocabulary for image retrieval using a modified multi-generator generative adversarial network. IEEE Access, 9, 144614-144623.
  44. Moon, H., Park, C., Eo, S., Seo, J., & Lim, H. (2021). An empirical study on automatic post editing for neural machine translation. IEEE Access, 9, 123754-123763.
  45. Park, J., Lee, C., Park, C., Kim, K., & Lim, H. (2021). Variational Reward Estimator Bottleneck: Towards Robust Reward Estimator for Multidomain Task-Oriented Dialogue. Applied Sciences11(14), 6624.
  46. Eo, S., Park, C., Moon, H., Seo, J., & Lim, H. (2021). Comparative analysis of current approaches to quality estimation for neural machine translation. Applied Sciences, 11(14), 6584.
  47. Kim, G., Son, J., Kim, J., Lee, H., & Lim, H. (2021). Enhancing Korean named entity recognition with linguistic tokenization strategies. IEEE Access, 9, 151814-151823.
  48. Park, S., & Kim, H. (2021). 3DPlanNet: generating 3D models from 2D floor plan images using ensemble methods. Electronics, 10(22), 2729.
  49. Park, S., & Kim, H. (2021). Facevae: Generation of a 3d geometric object using variational autoencoders. Electronics, 10(22), 2792.
  50. Kim, M. J. (2021). Pothole region extraction based on similarity evaluation scale classification using image processing. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(6), 871-877.
  51. Jo, J., Kim, S., Lee, K., Park, H., & Jeong, S. A Study on the Perception and Improvement of Creative-Design Course by Level.
  52. Park, C., Lee, C., Yang, Y., & Lim, H. (2020). Ancient Korean neural machine translation. IEEE Access, 8, 116617-116625.
  53. Park, C., Kim, K., Yang, Y., Kang, M., & Lim, H. (2021). Neural spelling correction: translating incorrect sentences to correct sentences for multimedia. Multimedia Tools and Applications, 80, 34591-34608.
  54. Park, C., Yang, Y., Lee, C., & Lim, H. (2020). Comparison of the evaluation metrics for neural grammatical error correction with overcorrection. IEEE Access8, 106264-106272.
  55. Lee, H., Jo, J., & Lim, H. (2020). Study on Optimal Generative Network for Synthesizing Brain Tumor‐Segmented MR Images. Mathematical Problems in Engineering, 2020(1), 8273173.
  56. Park, C., Yang, Y., Park, K., & Lim, H. (2020). Decoding strategies for improving low-resource machine translation. Electronics9(10), 1562.
  57. Kang, J., Lim, J., & Yu, H. (2020). Partial migration technique for GPGPU tasks to Prevent GPU Memory Starvation in RPC‐based GPU Virtualization. Software: Practice and Experience, 50(6), 948-972.
  58. Chung, K., & Yoo, H. (2020). Edge computing health model using P2P-based deep neural networks. Peer-to-Peer Networking and Applications, 13(2), 694-703.
  59. Choi, S. Y., & Chung, K. (2020). Knowledge process of health big data using MapReduce-based associative mining. Personal and Ubiquitous Computing, 24, 571-581.
  60. Jo, J., Lee, S., Lee, C., Lee, D., & Lim, H. (2020). Development of fashion product retrieval and recommendations model based on deep learning. Electronics, 9(3), 508.
  61. Jeakal, E., Park, K., Lee, E., Strauss, G. P., & Choi, K. H. (2020). Validation of the Brief Negative Symptom Scale in Korean patients with schizophrenia. Asia‐Pacific Psychiatry12(3), e12382.
  62. Yi, E., Lim, H., & Jo, J. (2020). Automatic Judgement of Online Video Watching: I Know Whether or Not You Watched. Mathematics, 8(10), 1827.
  63. Hooshyar, D., Malva, L., Yang, Y., Pedaste, M., Wang, M., & Lim, H. (2021). An adaptive educational computer game: Effects on students’ knowledge and learning attitude in computational thinking. Computers in Human Behavior, 114, 106575.
  64. Yang, Y., Hooshyar, D., Pedaste, M., Wang, M., Huang, Y. M., & Lim, H. (2020). Predicting course achievement of university students based on their procrastination behaviour on Moodle. Soft Computing, 24, 18777-18793.
  65. Hooshyar, D., Pedaste, M., Yang, Y., Malva, L., Hwang, G. J., Wang, M., … & Delev, D. (2021). From gaming to computational thinking: An adaptive educational computer game-based learning approach. Journal of Educational Computing Research, 59(3), 383-409.
  66. Lim, J. E., Kwon, Y. J., Jung, S. Y., Park, K., Lee, W., Lee, S. H., … & Choi, K. H. (2020). Benefits of social cognitive skills training within routine community mental health services: evidence from a non-randomized parallel controlled study. Asian journal of psychiatry, 54, 102314.
  67. Lee, H., Jo, J., & Lim, H. (2020). Study on Optimal Generative Network for Synthesizing Brain Tumor‐Segmented MR Images. Mathematical Problems in Engineering, 2020(1), 8273173.
  68. Myung, R., & Yu, H. (2020). Performance prediction for convolutional neural network on spark cluster. Electronics, 9(9), 1340.
  69. Lee, K. S., & Ahn, K. H. (2020). Application of artificial intelligence in early diagnosis of spontaneous preterm labor and birth. Diagnostics, 10(9), 733.
  70. Lee, J., & Yu, H. (2020). I/O strength-aware credit scheduler for virtualized environments. Electronics9(12), 2107.
  71. Chung, K., Yoo, H., & Choe, D. E. (2020). Ambient context-based modeling for health risk assessment using deep neural network. Journal of Ambient Intelligence and Humanized Computing, 11(4), 1387-1395.
  72. Kim, G., Lee, C., Jo, J., & Lim, H. (2020). Automatic extraction of named entities of cyber threats using a deep Bi-LSTM-CRF network. International journal of machine learning and cybernetics11, 2341-2355.
  73. Kim, K., Hur, Y., Kim, G., & Lim, H. (2020). GREG: A global level relation extraction with knowledge graph embedding. Applied Sciences10(3), 1181.
  74. Jwa, H., Oh, D., Park, K., Kang, J. M., & Lim, H. (2019). exbake: Automatic fake news detection model based on bidirectional encoder representations from transformers (bert). Applied Sciences, 9(19), 4062.
  75. Leem, S. G., Yoo, I. C., & Yook, D. (2019). Multitask learning of deep neural network-based keyword spotting for IoT devices. IEEE Transactions on Consumer Electronics, 65(2), 188-194.
  76. Baek, J. W., Kim, J. C., Chun, J., & Chung, K. (2019). Hybrid clustering based health decision-making for improving dietary habits. Technology and Health Care, 27(5), 459-472.
  77. Baek, J. W., Jung, H., & Chung, K. (2019). Context Mining based Mental Health Model for Lifecare Platform. Medico-Legal Update, 19(1).
  78. Suh, J. W., Lee, H. J., Yoo, N., Min, H., Seo, D. G., & Choi, K. H. (2019). A brief version of the Leahy emotional schema scale: A validation study. International Journal of Cognitive Therapy, 12, 38-54.
  79. Ji, H., Hooshyar, D., Kim, K., & Lim, H. (2019). A semantic-based video scene segmentation using a deep neural network. Journal of Information Science45(6), 833-844.
  80. Yang, Y., Hooshyar, D., Jo, J., & Lim, H. (2020). A group preference-based item similarity model: comparison of clustering techniques in ambient and context-aware recommender systems. Journal of Ambient Intelligence and Humanized Computing11, 1441-1449.
  81. Hooshyar, D., Lee, S., Yang, Y., Jo, J., & Lim, H. (2019). Long-term effects of adaptive customization support on elderly people. Cognition, Technology & Work21, 371-382.
  82. Yang, Y., Hooshyar, D., & Lim, H. S. (2019). GPS: Factorized group preference-based similarity models for sparse sequential recommendation. Information Sciences481, 394-411.
  83. Lim, H., Hooshyar, D., Ji, H., Lee, S., & Jo, J. (2019). SmartSenior: automatic content personalization through semi-supervised learning. Wireless Personal Communications105, 461-473.
  84. Jo, J., Yu, W., Koh, K. H., & Lim, H. (2018). Development of a game-based learning judgment system for online education environments based on video lecture: Minimum learning judgment system. Journal of Educational Computing Research56(6), 802-825.
  85. Jo, J., Jun, H., & Lim, H. (2018). A comparative study on gamification of the flipped classroom in engineering education to enhance the effects of learning. Computer Applications in Engineering Education26(5), 1626-1640.
  86. Yun, Y., Hooshyar, D., Jo, J., & Lim, H. (2018). Developing a hybrid collaborative filtering recommendation system with opinion mining on purchase review. Journal of Information Science44(3), 331-344.