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Min-Yuh Day
Person information
- affiliation: National Taipei University, Graduate Institute of Information Management, Taiwan
- affiliation (former): Tamkang University, Department of Information Management, Taiwan
- affiliation (former): Academia Sinica, Institute of Information Science, Taipei, Taiwan
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2020 – today
- 2024
- [j8]Min-Yuh Day
, Ching-Ying Yang, Yen-Sen Ni
Portfolio dynamic trading strategies using deep reinforcement learning. Soft Comput. 28(15-16): 8715-8730 (2024) - 2023
- [j7]Min-Yuh Day
Can Investors Profit from Utilizing Technical Trading Rules During the COVID-19 Pandemic? Int. J. Inf. Technol. Decis. Mak. 22(6): 1893-1921 (2023) - [c55]Min-Yuh Day
CMSI: Carbon Market Sentiment Index with AI Text Analytics. ASONAM 2023: 719-726 - [c54]Hsiao-Chuan Liu
Speech-to-speech Low-resource Translation. IRI 2023: 91-95 - [c53]Hsiao-Chuan Liu, Chia-Tung Tsai, Min-Yuh Day:
A Pilot Study on AI-Assisted Code Generation with Large Language Models for Software Engineering. TAAI (1) 2023: 162-175 - 2022
- [j6]Chih-Chien Wang
Political Hate Speech Detection and Lexicon Building: A Study in Taiwan. IEEE Access 10: 44337-44346 (2022) - [c52]Yung-Wei Teng, Min-Yuh Day
Text Mining with Information Extraction for Chinese Financial Knowledge Graph. ASONAM 2022: 421-426 - [c51]Min-Yuh Day
Developing Relation Types of Cryptocurrency Anti-Money Laundering Knowledge Graph. IRI 2022: 90-94 - [e7]Yulan He, Heng Ji, Yang Liu, Sujian Li, Chia-Hui Chang, Soujanya Poria, Chenghua Lin, Wray L. Buntine, Maria Liakata, Hanqi Yan, Zonghan Yan, Sebastian Ruder, Xiaojun Wan, Miguel Arana-Catania, Zhongyu Wei, Hen-Hsen Huang, Jheng-Long Wu, Min-Yuh Day, Pengfei Liu, Ruifeng Xu:
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, AACL/IJCNLP 2022 - Volume 1: Long Papers, Online Only, November 20-23, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-65-0 [contents] - [e6]Yulan He, Heng Ji, Yang Liu, Sujian Li, Chia-Hui Chang, Soujanya Poria, Chenghua Lin, Wray L. Buntine, Maria Liakata, Hanqi Yan, Zonghan Yan, Sebastian Ruder, Xiaojun Wan, Miguel Arana-Catania, Zhongyu Wei, Hen-Hsen Huang, Jheng-Long Wu, Min-Yuh Day, Pengfei Liu, Ruifeng Xu:
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, AACL/IJCNLP 2022 - Volume 2: Short Papers, Online only, November 20-23, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-64-3 [contents] - [e5]Yulan He, Heng Ji, Yang Liu, Sujian Li, Chia-Hui Chang, Soujanya Poria, Chenghua Lin, Wray L. Buntine, Maria Liakata, Hanqi Yan, Zonghan Yan, Sebastian Ruder, Xiaojun Wan, Miguel Arana-Catania, Zhongyu Wei, Hen-Hsen Huang, Jheng-Long Wu, Min-Yuh Day, Pengfei Liu, Ruifeng Xu:
Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, Online only, November 20-23, 2022. Association for Computational Linguistics 2022, ISBN 978-1-959429-04-3 [contents] - 2021
- [c50]Min-Yuh Day
Artificial intelligence for knowledge graphs of cryptocurrency anti-money laundering in fintech. ASONAM 2021: 439-446 - [c49]Min-Yuh Day
AI Customer Service System with Pre-trained Language and Response Ranking Models for University Admissions. IRI 2021: 395-401 - 2020
- [c48]Mike Tian-Jian Jiang
Fine-tuning techniques and data augmentation on transformer-based models for conversational texts and noisy user-generated content. ASONAM 2020: 919-925 - [c47]Min-Yuh Day
A Study of Deep Learning for Factoid Question Answering System. IRI 2020: 419-424
2010 – 2019
- 2019
- [c46]Min-Yuh Day
Artificial intelligence for ETF market prediction and portfolio optimization. ASONAM 2019: 1026-1033 - [c45]Min-Yuh Day
AI Affective Conversational Robot with Hybrid Generative-Based and Retrieval-Based Dialogue Models. IRI 2019: 403-409 - [c44]Chih-Chien Wang, Min-Yuh Day, Lin-Lung Hu:
植基於深度學習假新聞人工智慧偵測: 台灣真實資料實作(Deep Learning Based Fake News AI Detection: Evidence From Taiwan News Report). ROCLING 2019: 202-211 - [e4]Chen-Yu Chiag, Min-Yuh Day, Jen-Tzung Chien:
Proceedings of the 31st Conference on Computational Linguistics and Speech Processing, ROCLING 2019, New Taipei City, Taiwan, October 3-5, 2019. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP) 2019 [contents] - 2018
- [c43]Min-Yuh Day
AI Robo-Advisor with Big Data Analytics for Financial Services. ASONAM 2018: 1027-1031 - [c42]Min-Yuh Day
Artificial Intelligence for Conversational Robo-Advisor. ASONAM 2018: 1057-1064 - [c41]Chih-Chien Wang
Detecting spamming reviews using long short-term memory recurrent neural network framework. ICEEG 2018: 16-20 - [c40]Min-Yuh Day
Artificial Intelligence for Automatic Text Summarization. IRI 2018: 478-484 - [e3]Mehmet Kaya, Jalal Kawash, Suheil Khoury, Min-Yuh Day:
Social Network Based Big Data Analysis and Applications. Lecture Notes in Social Networks, Springer 2018, ISBN 978-3-319-78195-2 [contents] - 2017
- [c39]Chih-Chien Wang
Temporal and Sentimental Analysis of A Real Case of Fake Reviews in Taiwan. ASONAM 2017: 729-736 - [c38]Min-Yuh Day
A Study of Deep Learning to Sentiment Analysis on Word of Mouth of Smart Bracelet. ASONAM 2017: 763-770 - [c37]Min-Yuh Day
Deep Learning for Sentiment Analysis on Google Play Consumer Review. IRI 2017: 382-388 - [c36]Min-Yuh Day, Chao-Yu Chen, Wan-Chu Huang, I-Hsuan Huang, Shi-Ya Zheng, Tz-Rung Chen, Min-Chun Kuo, Yue-Da Lin, Yi-Jing Lin:
IMTKU Question Answering System for World History Exams at NTCIR-13 QA Lab-3. NTCIR 2017 - 2016
- [c35]Min-Yuh Day
Deep learning for financial sentiment analysis on finance news providers. ASONAM 2016: 1127-1134 - [c34]Min-Yuh Day
The effect of customer perceived value on relationship quality between illustrator and fans to recommendation on facebook. ASONAM 2016: 1135-1142 - [c33]Chih-Chien Wang
Toward understanding the cliques of opinion spammers with social network analysis. ASONAM 2016: 1163-1169 - [c32]Min-Yuh Day
A Study on Machine Learning for Imbalanced Datasets with Answer Validation of Question Answering. IRI 2016: 513-519 - [c31]Chih-Chien Wang
A Real Case Analytics on Social Network of Opinion Spammers. IRI 2016: 623-630 - [c30]Ching-Yuan Chien, Chia-Hsin Hung, Min-Yuh Day
Developing Four Stars Election Open Data in RDF: Evidence from Taiwan Election Open Data Project. MISNC 2016: 48 - [c29]Min-Yuh Day, Cheng-Chia Tsai, Wei-Chun Chuang, Jin-Kun Lin, Hsiu-Yuan Chang, Tzu-Jui Sun, Yuan-Jie Tsai, Yi-Heng Chiang, Cheng-Zhi Han, Wei-Ming Chen, Yun-Da Tsai, Yi-Jing Lin, Yue-Da Lin, Yu-Ming Guo, Ching-Yuan Chien, Cheng-Hung Lee:
IMTKU Question Answering System for World History Exams at NTCIR-12 QA Lab2. NTCIR 2016 - 2015
- [j5]Chao-Lin Liu, Mitsunori Matsushita, Yasufumi Takama, Min-Yuh Day
Intelligent interaction, reasoning, and applications. Web Intell. 13(2): 91-92 (2015) - [c28]Min-Yuh Day
Machine Learning for Imbalanced Datasets of Recognizing Inference in Text with Linguistic Phenomena. IRI 2015: 562-568 - 2014
- [c27]Min-Yuh Day
Analysis of identifying linguistic phenomena for recognizing inference in text. IRI 2014: 607-612 - [c26]Min-Yuh Day, Ya-Jung Wang, Che-Wei Hsu, En-Chun Tu, Shang-Yu Wu, Huai-Wen Hsu, Yu-An Lin, Yu-Hsuan Tai, Cheng-Chia Tsai:
IMTKU Textual Entailment System for Recognizing Inference in Text at NTCIR-11 RITE-VAL. NTCIR 2014 - [e2]Shin-Ming Cheng, Min-Yuh Day:
Technologies and Applications of Artificial Intelligence, 19th International Conference, TAAI 2014, Taipei, Taiwan, November 21-23, 2014. Proceedings. Lecture Notes in Computer Science 8916, Springer 2014, ISBN 978-3-319-13986-9 [contents] - 2013
- [c25]Chun Tu, Min-Yuh Day
Chinese textual entailment with Wordnet semantic and dependency syntactic analysis. IRI 2013: 69-74 - [c24]Shin-Chen Huang, Min-Yuh Day
A comparative study of data mining techniques for credit scoring in banking. IRI 2013: 684-691 - [c23]Min-Yuh Day, Chun Tu, Shih-Jhen Huang, Hou-Cheng Vong, Sih-Wei Wu:
IMTKU Textual Entailment System for Recognizing Inference in Text at NTCIR-10 RITE2. NTCIR 2013 - 2012
- [c22]Chun Tu, Min-Yuh Day
A statistical approach with syntactic and semantic features for Chinese Textual Entailment. IRI 2012: 59-64 - 2011
- [c21]Min-Yuh Day
Social network analysis of research collaboration in information reuse and integration. IRI 2011: 551-556 - [c20]Min-Yuh Day, Re-Yuan Lee, Cheng-Tai Liu, Chun Tu, Chin-Sheng Tseng, Loong Tern Yap, Allen-Green C. L. Huang, Yu-Hsuan Chiu, Wei-Ze Hong:
IMTKU Textual Entailment System for Recognizing Inference in Text at NTCIR-9 RITE. NTCIR 2011 - 2010
- [c19]Cheng-Wei Lee, Min-Yuh Day
An Empirical Comparative Study of Manual Rule-Based and Statistical Question Classifiers on Heterogeneous Unseen Data. AIRS 2010: 350-359 - [c18]Chorng-Shyong Ong, Min-Yuh Day
An integrated evaluation model of user satisfaction with social media services. IRI 2010: 195-200 - [e1]Christopher C. Yang, Daniel Zeng, Ke Wang, Antonio Sanfilippo, Herbert H. Tsang, Min-Yuh Day, Uwe Glässer, Patricia L. Brantingham, Hsinchun Chen:
IEEE International Conference on Intelligence and Security Informatics, ISI 2010, Vancouver, BC, Canada, May 23-26, 2010, Proceedings. IEEE 2010, ISBN 978-1-4244-6460-9 [contents]
2000 – 2009
- 2009
- [j4]Chorng-Shyong Ong, Min-Yuh Day
The measurement of user satisfaction with question answering systems. Inf. Manag. 46(7): 397-403 (2009) - [j3]Ryan T. K. Lin, Justin Liang-Te Chiu, Hong-Jie Dai, Richard Tzong-Han Tsai
A supervised learning approach to biological question answering. Integr. Comput. Aided Eng. 16(3): 271-281 (2009) - [c17]Min-Yuh Day
An Analysis of Research on Information Reuse and Integration. IRI 2009: 188-193 - 2008
- [j2]Cheng-Wei Lee, Min-Yuh Day
Boosting Chinese Question Answering with Two Lightweight Methods: ABSPs and SCO-QAT. ACM Trans. Asian Lang. Inf. Process. 7(4): 12:1-12:29 (2008) - [c16]Ryan T. K. Lin, Hong-Jie Dai, Yue-Yang Bow, Min-Yuh Day
Result identification for biomedical abstracts using Conditional Random Fields. IRI 2008: 122-126 - [c15]Chorng-Shyong Ong, Min-Yuh Day
Development of an evaluation model for Question Answering Systems. IRI 2008: 178-183 - [c14]Ryan T. K. Lin, Justin Liang-Te Chiu, Hong-Jie Dai, Min-Yuh Day
Biological question answering with syntactic and semantic feature matching and an improved mean reciprocal ranking measurement. IRI 2008: 184-189 - [c13]Cheng-Lung Sung, Min-Yuh Day
A template alignment algorithm for question classification. ISI 2008: 197-199 - [c12]Chorng-Shyong Ong, Min-Yuh Day
User-centered evaluation of question answering systems. ISI 2008: 286-287 - [c11]Chun-Hung Lu, Chih-Chien Wang, Min-Yuh Day
Using "Cited by" Information to Find the Context of Research Papers. ISI Workshops 2008: 343-354 - 2007
- [j1]Min-Yuh Day
Reference metadata extraction using a hierarchical knowledge representation framework. Decis. Support Syst. 43(1): 152-167 (2007) - [c10]Min-Yuh Day
Question Classification in English-Chinese Cross-Language Question Answering: An Integrated Genetic Algorithm and Machine Learning Approach. IRI 2007: 203-208 - [c9]Richard Tzong-Han Tsai
BESearch: A Supervised Learning Approach to Search for Molecular Event Participants. IRI 2007: 412-417 - [c8]Cheng-Wei Lee, Min-Yuh Day, Cheng-Lung Sung, Yi-Hsun Lee, Mike Tian-Jian Jiang, Chia-Wei Wu, Cheng-Wei Shih, Yu-Ren Chen, Wen-Lian Hsu:
Chinese-Chinese and English-Chinese Question Answering with ASQA at NTCIR-6 CLQA. NTCIR 2007 - 2006
- [c7]Richard Tzong-Han Tsai
Chinese word segmentation with minimal linguistic knowledge: An improved conditional random fields coupled with character clustering and automatically discovered template matching. IRI 2006: 274-279 - [c6]Min-Yuh Day
Integrating genetic algorithms with conditional random fields to enhance question informer prediction. IRI 2006: 414-419 - [c5]Chun-Hung Lu, Guey-Fa Chiou, Min-Yuh Day
Using Instant Messaging to Provide an Intelligent Learning Environment. Intelligent Tutoring Systems 2006: 575-583 - [c4]Sheng-Cheng Hsu, Min-Yuh Day
Designing a Tutoring Agent for Facilitating Collaborative Learning with Instant Messaging. Intelligent Tutoring Systems 2006: 689-691 - 2005
- [c3]Min-Yuh Day
Designing an Ontology-Based Intelligent Tutoring Agent with Instant Messaging. ICALT 2005: 318-320 - [c2]Min-Yuh Day
A knowledge-based approach to citation extraction. IRI 2005: 50-55 - [c1]Cheng-Wei Lee, Cheng-Wei Shih, Min-Yuh Day, Tzong-Han Tsai, Mike Tian-Jian Jiang, Chia-Wei Wu, Cheng-Lung Sung, Yu-Ren Chen, Shih-Hung Wu, Wen-Lian Hsu:
ASQA: Academia Sinica Question Answering System for NTCIR-5 CLQA. NTCIR 2005
Coauthor Index
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