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Cheol-Young Ock
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2020 – today
- 2022
- [c15]Joon-Choul Shin, Wansu Kim, Jusang Lee, Jieun Park, Cheol-Young Ock:
Controlling Weight Update Probability of Sparse Features in Machine Learning. KSE 2022: 1-6 - 2020
- [j8]Anh-Dung Vo, Quang-Phuoc Nguyen, Cheol-Young Ock
:
Semantic and syntactic analysis in learning representation based on a sentiment analysis model. Appl. Intell. 50(3): 663-680 (2020) - [j7]Van-Hai Vu, Quang-Phuoc Nguyen, Kiem-Hieu Nguyen, Joon-Choul Shin, Cheol-Young Ock:
Korean-Vietnamese Neural Machine Translation with Named Entity Recognition and Part-of-Speech Tags. IEICE Trans. Inf. Syst. 103-D(4): 866-873 (2020)
2010 – 2019
- 2019
- [j6]Quang-Phuoc Nguyen, Anh-Dung Vo, Joon-Choul Shin, Phuoc Tran, Cheol-Young Ock:
Korean-Vietnamese Neural Machine Translation System With Korean Morphological Analysis and Word Sense Disambiguation. IEEE Access 7: 32602-32616 (2019) - 2018
- [j5]Anh-Dung Vo
, Quang-Phuoc Nguyen
, Cheol-Young Ock
:
Opinion-Aspect Relations in Cognizing Customer Feelings via Reviews. IEEE Access 6: 5415-5426 (2018) - [j4]Quang-Phuoc Nguyen
, Anh-Dung Vo
, Joon-Choul Shin
, Cheol-Young Ock
:
Effect of Word Sense Disambiguation on Neural Machine Translation: A Case Study in Korean. IEEE Access 6: 38512-38523 (2018) - [c14]Quang-Phuoc Nguyen
, Anh-Dung Vo, Joon-Choul Shin, Cheol-Young Ock:
Neural Machine Translation Enhancements through Lexical Semantic Network. ICCMS 2018: 105-109 - [c13]Anh-Dung Vo
, Quang-Phuoc Nguyen
, Cheol-Young Ock:
Automatic Knowledge Extraction for Aspect-based Sentiment Analysis of Customer Reviews. ICCMS 2018: 110-113 - 2015
- [j3]Duc-Thuan Vo, Vo Thuan Hai, Cheol-Young Ock:
Exploiting Language Models to Classify Events from Twitter. Comput. Intell. Neurosci. 2015: 401024:1-401024:11 (2015) - [j2]Duc-Thuan Vo, Cheol-Young Ock:
Learning to classify short text from scientific documents using topic models with various types of knowledge. Expert Syst. Appl. 42(3): 1684-1698 (2015) - [c12]Ho Sy Khanh, Cheol-Young Ock, Myung Kyun Kim:
RP-MAC: A cross-layer duty cycle MAC protocol with a Reduced Pipelined-forwarding feature for Wireless Sensor Networks. IWCMC 2015: 1469-1474 - 2013
- [j1]Kiem-Hieu Nguyen, Cheol-Young Ock:
Word sense disambiguation as a traveling salesman problem. Artif. Intell. Rev. 40(4): 405-427 (2013) - 2012
- [c11]Kiem-Hieu Nguyen, Cheol-Young Ock:
Using Wiktionary to Improve Lexical Disambiguation in Multiple Languages. CICLing (1) 2012: 238-248 - [c10]Duc-Thuan Vo
, Cheol-Young Ock:
A Hybrid Approach of Pattern Extraction and Semi-supervised Learning for Vietnamese Named Entity Recognition. ICCCI (1) 2012: 83-93 - [c9]Anh-Dung Vo, Cheol-Young Ock:
Sentiment Classification: A Combination of PMI, SentiWordNet and Fuzzy Function. ICCCI (2) 2012: 373-382 - [c8]Duc-Thuan Vo
, Cheol-Young Ock:
Extraction of Semantic Relation Based on Feature Vector from Wikipedia. PRICAI 2012: 814-819 - [c7]Kiem-Hieu Nguyen, Cheol-Young Ock:
Semantic Relatedness for Biomedical Word Sense Disambiguation. TextGraphs@ACL 2012: 25-29 - 2010
- [c6]Kiem-Hieu Nguyen, Cheol-Young Ock:
Diacritics Restoration in Vietnamese: Letter Based vs. Syllable Based Model. PRICAI 2010: 631-636 - [c5]Kiem-Hieu Nguyen, Cheol-Young Ock:
Margin perceptron for word sense disambiguation. SoICT 2010: 64-70
2000 – 2009
- 2008
- [c4]Kang-Seop Shim, Cheol-Young Ock, Dong-Meong Kim, Ho-Seop Choe, Chang-Hwan Kim:
Finding Similar Texts Using U-WIN. ALPIT 2008: 43-48 - [c3]Young-Jun Bae, Cheol-Young Ock, Ho-Seop Choe, Wang-Woo Lee, Hwa-Mook Yoon:
Development of Korean Concept & Instance Classification System. ALPIT 2008: 108-113 - 2007
- [c2]Young-Jun Bae, Ji-Hui Im, Cheol-Young Ock, Kang-Seop Shim, Dong-Myoung Kim, Ho-Seop Choe:
A Terminology Tagging System Using Knowledge in an Encyclopedia. ALPIT 2007: 177-182 - 2002
- [c1]Jun-Su Kim, Wang-Woo Lee, Chang-Hwan Kim, Cheol-Young Ock:
A Korean Homonym Disambiguation System Based on Statistical Model Using Weights. PACLIC 2002: 166-176
Coauthor Index
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