Digital Library
Search: "[ keyword: Natural Language Processing ]" (16)
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
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
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
Korean Morphological Analysis Method Based on BERT-Fused Transformer Model
Changjae Lee, Dongyul Ra KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 4, pp. 169-178,
Apr.
2022
https://doi.org/10.3745/KTSDE.2022.11.4.169
Keywords: Natural Language Processing, Morphological Analysis, Transfer Learning, Transformer, BERT-fused Model
https://doi.org/10.3745/KTSDE.2022.11.4.169
Keywords: Natural Language Processing, Morphological Analysis, Transfer Learning, Transformer, BERT-fused Model
Integrated Verbal and Nonverbal Sentiment Analysis System for Evaluating Reliability of Video Contents
Hee Won Shin, So Jeong Lee, Gyu Jin Son, Hye Rin Kim, Yoonhee Kim KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 4, pp. 153-160,
Apr.
2021
https://doi.org/10.3745/KTSDE.2021.10.4.153
Keywords: Verbal Sentiment Analysis, Nonverbal Sentiment Analysis, YouTube, Natural Language Processing
https://doi.org/10.3745/KTSDE.2021.10.4.153
Keywords: Verbal Sentiment Analysis, Nonverbal Sentiment Analysis, YouTube, Natural Language Processing
Analysis of Disaster Safety Situation Classification Algorithm Based on Natural Language Processing Using 119 Calls Data
Su-Jeong Kwon, Yun-Hee Kang, Yong-Hak Lee, Min-Ho Lee, Seung-Ho Park, Myung-Ju Kang KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 10, pp. 317-322,
Oct.
2020
https://doi.org/10.3745/KTSDE.2020.9.10.317
Keywords: Artificial intelligence, emergency response, Natural Language Processing, Situation Classification, Machine Learning
https://doi.org/10.3745/KTSDE.2020.9.10.317
Keywords: Artificial intelligence, emergency response, Natural Language Processing, Situation Classification, Machine Learning