Designing an Ontology-Based Intelligent Tutoring Agent with Instant Messaging. - Min-Yuh Day; Chun-Hung Lu; Jin-Tan David Yang; Guey-Fa Chiou; Chorng-Shyong Ong; Wen-Lian Hsu (ICALT, 2005)

A knowledge-based approach to citation extraction. - Min-Yuh Day; Tzong-Han Tsai; Cheng-Lung Sung; Cheng-Wei Lee 001; Shih-Hung Wu; Chorng-Shyong Ong; Wen-Lian Hsu (IRI, 2005)

ASQA: Academia Sinica Question Answering System for NTCIR-5 CLQA. - Cheng-Wei Lee 001; 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 (NTCIR, 2005)

Integrating genetic algorithms with conditional random fields to enhance question informer prediction. - Min-Yuh Day; Chun-Hung Lu; Chorng-Shyong Ong; Shih-Hung Wu; Wen-Lian Hsu (IRI, 2006)

Chinese word segmentation with minimal linguistic knowledge: An improved conditional random fields coupled with character clustering and automatically discovered template matching. - Richard Tzong-Han Tsai; Hong-Jie Dai; Hsieh-Chuan Hung; Cheng-Lung Sung; Min-Yuh Day; Wen-Lian Hsu (IRI, 2006)

Designing a Tutoring Agent for Facilitating Collaborative Learning with Instant Messaging. - Sheng-Cheng Hsu; Min-Yuh Day; Shih-Hung Wu; Wing-Kwong Wong; Wen-Lian Hsu (Intelligent Tutoring Systems, 2006)

Using Instant Messaging to Provide an Intelligent Learning Environment. - Chun-Hung Lu; Guey-Fa Chiou; Min-Yuh Day; Chorng-Shyong Ong; Wen-Lian Hsu (Intelligent Tutoring Systems, 2006)

Question Classification in English-Chinese Cross-Language Question Answering: An Integrated Genetic Algorithm and Machine Learning Approach. - Min-Yuh Day; Chorng-Shyong Ong; Wen-Lian Hsu (IRI, 2007)

BESearch: A Supervised Learning Approach to Search for Molecular Event Participants. - Richard Tzong-Han Tsai; Hong-Jie Dai; Hsi-Chuan Hung; Ryan T. K. Lin; Wen-Chi Chou; Ying-Shan Su; Min-Yuh Day; Wen-Lian Hsu (IRI, 2007)

Chinese-Chinese and English-Chinese Question Answering with ASQA at NTCIR-6 CLQA. - Cheng-Wei Lee 001; 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 (NTCIR, 2007)

Reference metadata extraction using a hierarchical knowledge representation framework. - Min-Yuh Day; Richard Tzong-Han Tsai; Cheng-Lung Sung; Chiu-Chen Hsieh; Cheng-Wei Lee 001; Shih-Hung Wu; Kuen-Pin Wu; Chorng-Shyong Ong; Wen-Lian Hsu (Decis. Support Syst., 2007)

Biological question answering with syntactic and semantic feature matching and an improved mean reciprocal ranking measurement. - Ryan T. K. Lin; Justin Liang-Te Chiu; Hong-Jie Dai; Min-Yuh Day; Richard Tzong-Han Tsai; Wen-Lian Hsu (IRI, 2008)

Result identification for biomedical abstracts using Conditional Random Fields. - Ryan T. K. Lin; Hong-Jie Dai; Yue-Yang Bow; Min-Yuh Day; Richard Tzong-Han Tsai; Wen-Lian Hsu (IRI, 2008)

Development of an evaluation model for Question Answering Systems. - Chorng-Shyong Ong; Min-Yuh Day; Wen-Lian Hsu (IRI, 2008)

Using "Cited by" Information to Find the Context of Research Papers. - Chun-Hung Lu; Chih-Chien Wang; Min-Yuh Day; Chorng-Shyong Ong; Wen-Lian Hsu (ISI Workshops, 2008)

User-centered evaluation of question answering systems. - Chorng-Shyong Ong; Min-Yuh Day; Kuo-Tay Chen; Wen-Lian Hsu (ISI, 2008)

A template alignment algorithm for question classification. - Cheng-Lung Sung; Min-Yuh Day; Hsu-Chun Yen; Wen-Lian Hsu (ISI, 2008)

Boosting Chinese Question Answering with Two Lightweight Methods: ABSPs and SCO-QAT. - Cheng-Wei Lee 001; 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 (ACM Trans. Asian Lang. Inf. Process., 2008)

An Analysis of Research on Information Reuse and Integration. - Min-Yuh Day; Chorng-Shyong Ong; Wen-Lian Hsu (IRI, 2009)

The measurement of user satisfaction with question answering systems. - Chorng-Shyong Ong; Min-Yuh Day; Wen-Lian Hsu (Inf. Manag., 2009)

A supervised learning approach to biological question answering. - Ryan T. K. Lin; Justin Liang-Te Chiu; Hong-Jie Dai; Richard Tzong-Han Tsai; Min-Yuh Day; Wen-Lian Hsu (Integr. Comput. Aided Eng., 2009)

An Empirical Comparative Study of Manual Rule-Based and Statistical Question Classifiers on Heterogeneous Unseen Data. - Cheng-Wei Lee 001; Min-Yuh Day; Wen-Lian Hsu (AIRS, 2010)

An integrated evaluation model of user satisfaction with social media services. - Chorng-Shyong Ong; Min-Yuh Day (IRI, 2010)

Social network analysis of research collaboration in information reuse and integration. - Min-Yuh Day; Sheng-Pao Shih; Weide Chang (IRI, 2011)

IMTKU Textual Entailment System for Recognizing Inference in Text at NTCIR-9 RITE. - 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 (NTCIR, 2011)

A statistical approach with syntactic and semantic features for Chinese Textual Entailment. - Chun Tu; Min-Yuh Day (IRI, 2012)

A comparative study of data mining techniques for credit scoring in banking. - Shin-Chen Huang; Min-Yuh Day (IRI, 2013)

Chinese textual entailment with Wordnet semantic and dependency syntactic analysis. - Chun Tu; Min-Yuh Day (IRI, 2013)

IMTKU Textual Entailment System for Recognizing Inference in Text at NTCIR-10 RITE2. - Min-Yuh Day; Chun Tu; Shih-Jhen Huang; Hou-Cheng Vong; Sih-Wei Wu (NTCIR, 2013)

Analysis of identifying linguistic phenomena for recognizing inference in text. - Min-Yuh Day; Ya-Jung Wang (IRI, 2014)

IMTKU Textual Entailment System for Recognizing Inference in Text at NTCIR-11 RITE-VAL. - 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 (NTCIR, 2014)

Machine Learning for Imbalanced Datasets of Recognizing Inference in Text with Linguistic Phenomena. - Min-Yuh Day; Cheng-Chia Tsai (IRI, 2015)

Intelligent interaction, reasoning, and applications. - Chao-Lin Liu; Mitsunori Matsushita; Yasufumi Takama; Min-Yuh Day; Vincent Shin-Mu Tseng (Web Intell., 2015)

The effect of customer perceived value on relationship quality between illustrator and fans to recommendation on facebook. - Min-Yuh Day; Wei-Chun Chuang (ASONAM, 2016)

Deep learning for financial sentiment analysis on finance news providers. - Min-Yuh Day; Chia-Chou Lee (ASONAM, 2016)

Toward understanding the cliques of opinion spammers with social network analysis. - Chih-Chien Wang; Min-Yuh Day; Yu-Ruei Lin (ASONAM, 2016)

A Study on Machine Learning for Imbalanced Datasets with Answer Validation of Question Answering. - Min-Yuh Day; Cheng-Chia Tsai (IRI, 2016)

A Real Case Analytics on Social Network of Opinion Spammers. - Chih-Chien Wang; Min-Yuh Day; Yu-Ruei Lin (IRI, 2016)

Developing Four Stars Election Open Data in RDF: Evidence from Taiwan Election Open Data Project. - Ching-Yuan Chien; Chia-Hsin Hung; Min-Yuh Day; Yuh-Tay Lin; Chu-Yin Yang (MISNC, 2016)

IMTKU Question Answering System for World History Exams at NTCIR-12 QA Lab2. - 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; et al. (NTCIR, 2016)

A Study of Deep Learning to Sentiment Analysis on Word of Mouth of Smart Bracelet. - Min-Yuh Day; Hung-Chou Teng (ASONAM, 2017)

Temporal and Sentimental Analysis of A Real Case of Fake Reviews in Taiwan. - Chih-Chien Wang; Min-Yuh Day; Chien-Chang Chen; Jai-Wei Liou (ASONAM, 2017)

Deep Learning for Sentiment Analysis on Google Play Consumer Review. - Min-Yuh Day; Yue-Da Lin (IRI, 2017)

IMTKU Question Answering System for World History Exams at NTCIR-13 QA Lab-3. - 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 (NTCIR, 2017)

AI Robo-Advisor with Big Data Analytics for Financial Services. - Min-Yuh Day; Tun-Kung Cheng; Jheng-Gang Li (ASONAM, 2018)

Artificial Intelligence for Conversational Robo-Advisor. - Min-Yuh Day; Jian-Ting Lin; Yuan-Chih Chen (ASONAM, 2018)

Detecting spamming reviews using long short-term memory recurrent neural network framework. - Chih-Chien Wang; Min-Yuh Day; Chien-Chang Chen; Jia-Wei Liou (ICEEG, 2018)

Artificial Intelligence for Automatic Text Summarization. - Min-Yuh Day; Chao-Yu Chen (IRI, 2018)

Artificial intelligence for ETF market prediction and portfolio optimization. - Min-Yuh Day; Jian-Ting Lin (ASONAM, 2019)

AI Affective Conversational Robot with Hybrid Generative-Based and Retrieval-Based Dialogue Models. - Min-Yuh Day; Chi-Sheng Hung (IRI, 2019)

IMTKU Emotional Dialogue System for Short Text Conversation at NTCIR-14 STC-3 (CECG) Task. - Min-Yuh Day; Yi-Jun Xie; Chi-Sheng Hung; Jhih-Yi Chen; Yu-Ling Kuo; Jian-Ting Lin (NTCIR, 2019)

AI-NTPU Emotional Chatting Machine at the NTCIR-14 STC-3 CECG Task. - Chih-Chien Wang; Min-Yuh Day; Wei-Jin Gao; Yen-Cheng Chiu; Chun-Lian Wu (NTCIR, 2019)

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). - Chih-Chien Wang; Min-Yuh Day; Lin-Lung Hu (ROCLING, 2019)

Fine-tuning techniques and data augmentation on transformer-based models for conversational texts and noisy user-generated content. - Mike Tian-Jian Jiang; Shih-Hung Wu; Yi-Kun Chen; Zhao-Xian Gu; Cheng-Jhe Chiang; Yueh-Chia Wu; Yu-Chen Huang; Cheng-Han Chiu; Sheng-Ru Shaw; Min-Yuh Day (ASONAM, 2020)

A Study of Deep Learning for Factoid Question Answering System. - Min-Yuh Day; Yu-Ling Kuo (IRI, 2020)

IMTKU Multi-Turn Dialogue System Evaluation at the NTCIR-15 DialEval-1 Dialogue Quality and Nugget Detection. - Mike Tian-Jian Jiang; Zhao-Xian Gu; Cheng-Jhe Chiang; Yueh-Chia Wu; Yu-Chen Huang; Cheng-Han Chiu; Sheng-Ru Shaw; Min-Yuh Day (NTCIR, 2020)

Artificial intelligence for knowledge graphs of cryptocurrency anti-money laundering in fintech. - Min-Yuh Day (ASONAM, 2021)

AI Customer Service System with Pre-trained Language and Response Ranking Models for University Admissions. - Min-Yuh Day; Sheng-Ru Shaw (IRI, 2021)

Text Mining with Information Extraction for Chinese Financial Knowledge Graph. - Yung-Wei Teng; Min-Yuh Day; Pei-Tz Chiu (ASONAM, 2022)

Developing Relation Types of Cryptocurrency Anti-Money Laundering Knowledge Graph. - Min-Yuh Day; Pei-Tz Chiu; Yung-Wei Teng; Chao-Lin Liu (IRI, 2022)

IMNTPU Dialogue System Evaluation at the NTCIR-16 DialEval-2 Dialogue Quality and Nugget Detection. - Ting-Yun Hsiao; Yung-Wei Teng; Pei-Tz Chiu; Mike Tian-Jian Jiang; Min-Yuh Day (NTCIR, 2022)

IMNTPU at the NTCIR-16 FinNum-3 Task: Data Augmentation for Financial Numclaim Classification. - Yung-Wei Teng; Pei-Tz Chiu; Ting-Yun Hsiao; Mike Tian-Jian Jiang; Min-Yuh Day (NTCIR, 2022)

Political Hate Speech Detection and Lexicon Building: A Study in Taiwan. - Chih-Chien Wang; Min-Yuh Day; Chun-Lian Wu (IEEE Access, 2022)

CMSI: Carbon Market Sentiment Index with AI Text Analytics. - Min-Yuh Day; Chia-Tung Tsai (ASONAM, 2023)

Speech-to-speech Low-resource Translation. - Hsiao-Chuan Liu; Min-Yuh Day; Chih-Chien Wang (IRI, 2023)

IMNTPU at the NTCIR-17 Real-MedNLP Task: Multi-Model Approach to Adverse Drug Event Detection from Social Media. - Hsiao-Chuan Liu; Vidhya Nataraj; Chia-Tung Tsai; Wen-Hsuan Liao; Tzu-Yu Liu; Mike Tian-Jian Jiang; Min-Yuh Day (NTCIR, 2023)

IMNTPU at the NTCIR-17 FinArg-1: Financial Argument-Based Sentiment Analysis and Argumentative Relations Identification in Social Media. - Chia-Tung Tsai; Wen-Hsuan Liao; Hsiao-Chuan Liu; Vidhya Nataraj; Tzu-Yu Liu; Mike Tian-Jian Jiang; Min-Yuh Day (NTCIR, 2023)

A Pilot Study on AI-Assisted Code Generation with Large Language Models for Software Engineering. - Hsiao-Chuan Liu; Chia-Tung Tsai; Min-Yuh Day (TAAI (1), 2023)

Can Investors Profit from Utilizing Technical Trading Rules During the COVID-19 Pandemic? - Min-Yuh Day; Pao-Yu Huang; Yirung Cheng; Yen-Sen Ni (Int. J. Inf. Technol. Decis. Mak., 2023)

Generative AI in ESG Reporting: A Systematic Review. - Jun-Yu Wu; Vidhya Nataraj; Min-Yuh Day (ASONAM (Workshops), 2024)

A Preliminary Study on Constructing Mandarin Personalized Speech Recognition Systems for the Speech Impaired. - Jia-Jyu Su; Chen-Yu Chiang; Yue-Shan Chang; Chao-Yin Lin; Jiunn-Horng Kang; Min-Yuh Day (ISCSLP, 2024)

ML-Promise: A Multilingual Dataset for Corporate Promise Verification. - Yohei Seki; Hakusen Shu; Anaïs Lhuissier; Hanwool Lee; Juyeon Kang; Min-Yuh Day; Chung-Chi Chen 001 (CoRR, 2024)

Portfolio dynamic trading strategies using deep reinforcement learning. - Min-Yuh Day; Ching-Ying Yang; Yen-Sen Ni (Soft Comput., 2024)

IMNTPU at the NTCIR-18 FinArg-2: Fine-Tuning andPrompt-Based Learning for Temporal Argument Detection andClaim Validity Assessment. - Bor-Jen Chen; Wen-Hsin Hsiao; Jun-Yu Wu; Cheng-Yun Wu; Min-Yuh Day (NTCIR, 2025)

IMNTPU at NTCIR-18 MedNLP-CHAT Task: Evaluating Agentic AIfor Multilingual Risk Assessment in Medical Chatbots. - Jun-Yu Wu; Cheng-Yun Wu; Bor-Jen Chen; Wen-Hsin Hsiao; Min-Yuh Day (NTCIR, 2025)