Digital Library
Search: "[ author: Jae-Hoon Kim ]" (5)
General Relation Extraction Using Probabilistic Crossover
Je-Seung Lee, Jae-Hoon Kim KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 8, pp. 371-380,
Aug.
2023
https://doi.org/10.3745/KTSDE.2023.12.8.371
Keywords: Relation Extraction, Deep Learning, pre-trained language model, Probabilistic Crossover
https://doi.org/10.3745/KTSDE.2023.12.8.371
Keywords: Relation Extraction, Deep Learning, pre-trained language model, Probabilistic Crossover
Exploiting Chunking for Dependency Parsing in Korean
Young Namgoong, Jae-Hoon Kim KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 7, pp. 291-298,
Jul.
2022
https://doi.org/10.3745/KTSDE.2022.11.7.291
Keywords: Dependency Structure, Constituent, Chunking, Parsing
https://doi.org/10.3745/KTSDE.2022.11.7.291
Keywords: Dependency Structure, Constituent, Chunking, Parsing
Detecting Errors in POS-Tagged Corpus on XGBoost and Cross Validation
Min-Seok Choi, Chang-Hyun Kim, Ho-Min Park, Min-Ah Cheon, Ho Yoon, Young Namgoong, Jae-Kyun Kim, Jae-Hoon Kim KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 7, pp. 221-228,
Jul.
2020
https://doi.org/10.3745/KTSDE.2020.9.7.221
Keywords: Error Detection, POS-tagged Corpus, XGBoost, Cross-Validation
https://doi.org/10.3745/KTSDE.2020.9.7.221
Keywords: Error Detection, POS-tagged Corpus, XGBoost, Cross-Validation
Generating a Korean Sentiment Lexicon Through Sentiment Score Propagation
Ho-Min Park, Chang-Hyun Kim, Jae-Hoon Kim KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 2, pp. 53-60,
Feb.
2020
https://doi.org/10.3745/KTSDE.2020.9.2.53
Keywords: Sentiment Lexicon, sentiment analysis, Word Embedding, Label Propagation, Word Graph
https://doi.org/10.3745/KTSDE.2020.9.2.53
Keywords: Sentiment Lexicon, sentiment analysis, Word Embedding, Label Propagation, Word Graph
Automated Scoring System for Korean Short-Answer Questions Using Predictability and Unanimity
Min-Ah Cheon, Chang-Hyun Kim, Jae-Hoon Kim, Eun-Hee Noh, Kyung-Hee Sung, Mi-Young Song KIPS Transactions on Software and Data Engineering,
Vol. 5, No. 11, pp. 527-534,
Nov.
2016
10.3745/KTSDE.2016.5.11.527
Keywords: Machine Learning, Korean Automated-Scoring System, Unanimity, Predictability, Natural Language Processing
10.3745/KTSDE.2016.5.11.527
Keywords: Machine Learning, Korean Automated-Scoring System, Unanimity, Predictability, Natural Language Processing
Indexing
All publications of KTSDE is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.
KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
