Digital Library
Search: "[ keyword: Natural Language Process ]" (20)
Design and Implementation of OCR Correction Model for Numeric Digits based on a Context Sensitive and Multiple Streams
Hyun Kyung Shin The KIPS Transactions:PartD,
Vol. 18, No. 1, pp. 67-80,
Feb.
2011
10.3745/KIPSTD.2011.18.1.67
10.3745/KIPSTD.2011.18.1.67
Anaphora Resolution System for Natural Language Requirements Document in Korean based on Syntactic Structure
Ki Seon Park , Dong Un An , Yong Seok Lee The KIPS Transactions:PartB ,
Vol. 17, No. 3, pp. 255-262,
Jun.
2010
10.3745/KIPSTB.2010.17.3.255
10.3745/KIPSTB.2010.17.3.255
Development of an AutoML Web Platform for Text Classification Automation
Ha-Yoon Song, Jeon-Seong Kang, Beom-Joon Park, Junyoung Kim, Kwang-Woo Jeon, Junwon Yoon, Hyun-Joon Chung The Transactions of the Korea Information Processing Society,
Vol. 13, No. 10, pp. 537-544,
Oct.
2024
https://doi.org/10.3745/TKIPS.2024.13.10.537
Keywords: Text Classification, Automated Machine Learning (AutoML), web platform, Natural Language Processing, H2O
https://doi.org/10.3745/TKIPS.2024.13.10.537
Keywords: Text Classification, Automated Machine Learning (AutoML), web platform, Natural Language Processing, H2O
Token-Based Classification and Dataset Construction for Detecting Modified Profanity
Sungmin Ko, Youhyun Shin The Transactions of the Korea Information Processing Society,
Vol. 13, No. 4, pp. 181-188,
Apr.
2024
https://doi.org/10.3745/TKIPS.2024.13.4.181
Keywords: Artificial intelligence, Natural Language Processing, named entity recognition, Profanity, ChatGPT
https://doi.org/10.3745/TKIPS.2024.13.4.181
Keywords: Artificial intelligence, Natural Language Processing, named entity recognition, Profanity, ChatGPT
Efficient Emotion Classification Method Based on Multimodal Approach Using Limited Speech and Text Data
Mirr Shin, Youhyun Shin The Transactions of the Korea Information Processing Society,
Vol. 13, No. 4, pp. 174-180,
Apr.
2024
https://doi.org/10.3745/TKIPS.2024.13.4.174
Keywords: Artificial intelligence, Natural Language Processing, speech recognition, Multimodal, Emotion classification
https://doi.org/10.3745/TKIPS.2024.13.4.174
Keywords: Artificial intelligence, Natural Language Processing, speech recognition, Multimodal, Emotion classification
Implementation of Iconic Language for the Language Support System of the Language Disorders
Kyo Nam Choo , Yo Seob Woo , Hong Ki Min The KIPS Transactions:PartB ,
Vol. 13, No. 4, pp. 479-488,
Aug.
2006
10.3745/KIPSTB.2006.13.4.479
10.3745/KIPSTB.2006.13.4.479
Analysis of Research Trends in Deep Learning-Based Video Captioning
Lyu Zhi, Eunju Lee, Youngsoo Kim KIPS Transactions on Software and Data Engineering,
Vol. 13, No. 1, pp. 35-49,
Jan.
2024
https://doi.org/10.3745/KTSDE.2024.13.1.35
Keywords: Video Captioning, computer vision, Natural Language Processing, Deep Learning
https://doi.org/10.3745/KTSDE.2024.13.1.35
Keywords: Video Captioning, computer vision, Natural Language Processing, Deep Learning
TAGS: Text Augmentation with Generation and Selection
Kim Kyung Min, Dong Hwan Kim, Seongung Jo, Heung-Seon Oh, Myeong-Ha Hwang KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 10, pp. 455-460,
Oct.
2023
https://doi.org/10.3745/KTSDE.2023.12.10.455
Keywords: Natural Language Process, Artificial intelligence, Large Language Model, Few-Shot Learning, Text Augmentation
https://doi.org/10.3745/KTSDE.2023.12.10.455
Keywords: Natural Language Process, Artificial intelligence, Large Language Model, Few-Shot Learning, Text Augmentation
Building Sentence Meaning Identification Dataset Based on Social Problem-Solving R&D Reports
Hyeonho Shin, Seonki Jeong, Hong-Woo Chun, Lee-Nam Kwon, Jae-Min Lee, Kanghee Park, Sung-Pil Choi KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 4, pp. 159-172,
Apr.
2023
https://doi.org/10.3745/KTSDE.2023.12.4.159
Keywords: Social Problem-Solving Research, Natural Language Process, Data Building, pre-trained language model
https://doi.org/10.3745/KTSDE.2023.12.4.159
Keywords: Social Problem-Solving Research, Natural Language Process, Data Building, pre-trained language model
Deep Learning-Based Model for Classification of Medical Record Types in EEG Report
Kyoungsu Oh, Min Kang, Seok-hwan Kang, Young-ho Lee KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 5, pp. 203-210,
May.
2022
https://doi.org/10.3745/KTSDE.2022.11.5.203
Keywords: Deep Learning, EEG Report Classification, Natural Language Processing
https://doi.org/10.3745/KTSDE.2022.11.5.203
Keywords: Deep Learning, EEG Report Classification, Natural Language Processing