自然語言處理實驗室

Natural Language Processing

Members

Yung-Chun Chang

Associate Professor & P.I.

張詠淳 副教授 | Associate Prof. Yung-Chun Chang

副數據長 | Deputy Chief Data Officer, Office of Data Science.
Ph.D., National Taiwan University

Click for More Information

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[2020-12-29] 恭喜梁予琪,黃顗亘,鄭宇雅同學參與109學年度師生聯合學術發表會榮獲佳作,題目為『使用依賴關係感知的深度神經網路檢測金融推文中的數值關係』
[2020-12-25] 恭喜梁予琪同學榮獲NTCIR國際資料科學競賽 Best Oral Presentation Award
[2020-10-20] 恭喜AI醫療創意飛揚競賽第一名
[2020-09-17] 恭喜榮獲2020全國醫學工程創意競賽佳作
[2020-06-19] 恭喜參與北聯大校際競賽獲得優選,題目為『尼莫在哪裡?大海裡的熱帶雨林』
[2020-06-19] 恭喜參與北聯大校際競賽獲得佳作,題目為『智慧客服評估』
[2020-06-19] 恭喜參與北聯大校際競賽獲得佳作,題目為『微笑的力量』
[2020-06-19] 恭喜參與北聯大校際競賽獲得佳作,題目為『Yelp美食推薦』
[2020-06-05] 恭喜李宇璇同學錄取台大資工所在職博士班
[2020-04-17] 恭喜陳建宏同學,論文被頂尖期刊Tourism Management接受
[2020-03-14] 恭喜大學部專題同學獲得Coding101競賽第二名,題目為『尼莫在哪裡』
[2020-02-27] 恭喜NGUYEN LE DUY DUC以及黃彥鈞同學,論文被國際會議IEAAIE 2020接受
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[2019-11-23] 恭喜本實驗室研究論文『MONPA: 多目標中文命名實體辨識與詞性標註系統』獲得台灣人工智慧研討會 (TAAI 2019) 最佳論文獎
[2019-11-15] 恭喜葉文照同學錄取交大資工所、清大資應所博士班
[2019-11-15] 恭喜陳麒任同學錄取台大流病所博士班
[2019-11-15] 恭喜葉文照&李宇璇同學獲得2019中技社科技AI創意競賽佳作,題目為『基於類神經網路模型生成平仄格律之近體詩』
[2019-10-25] 恭喜葉文照&邢晏純同學,論文被PLOS ONE期刊接受
[2019-08-25] 恭喜陳麒任同學,論文被頂尖期刊JAMIA接受
[2019-07-11] 恭喜葉文照同學,ICMLC國際會議論文獲得科技部出國補助
[2019-07-11] 恭喜邢晏純同學,NTCIR14國際會議論文獲得科技部出國補助
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[2018-11-20] 恭喜陳建宏同學錄取台大資工所、台大網媒所博士班

邢晏純 (Yan-Chun Hsing)

TMU Data Science
M.D. Research Assistant

邱渝雯 (Linda Chiu)

NCTU Applied Mathematics
M.D. Research Assistant

葉文照 (Wen-Chao Yeh)

NTHU ISA
Ph.D. Student

黃顗亘 (Yi-Hsuan Huang)

TMU Data Science
M.S. Student

梁予琪 (Yu-Chi Liang)

TMU Data Science
M.S. Student

NGUYEN LE DUY DUC

TMU Data Science
M.S. Student

黃彥鈞 (Yen-Chun Huang)

TMU Data Science
M.S. Student

廖容毅(Jung-Yi Liao)

TMU Data Science
M.S. Student

鄭宇雅 (Yu-Ya Cheng)

TMU Data Science
M.S. Student

陳靖儒 (Chin-Ju Chen)

TMU Data Science
M.S. Student

陳敏楨 (Min-Chen Chen)

TMU Data Science
M.S. Student

陳彥銘 (Yan-Ming Chen)

TMU Data Science
M.S. Student

PANCHANIT BOONYARAT

TMU Data Science
M.S. Student

李子儀 (Tzu-Yi Li)

TMU HCA
Undergraduate Student

Chun-Hung Chen

NTU PHY
M.D. Resarch Assistant

陳建宏 (Chien-Hung Chen)

TMU Data Science
M.D. Resarch Assistant

張瑋庭

TMU Data Science
B.S. Resarch Assistant

International Cooperation


Dr. Chih-Hao Ku

Assitant Professor
Department of Information Systems, Cleveland State University.

Dr. Neha Warikoo

Research Intern
Deutsche Börse

Dr. Jitendra Jonnagaddala

Reaserch Fellow
School of Public Health and Community Medicine, UNSW.

Dr. Suvendu Mohapatra

System Architect
Volktek Corporation

Dr. Yu-Lun Hsieh

Dr. Nai-Wen Chang


Research demo



Systems we developed

Demos of our research.

Requests for downloading datasets can be sent to Apply for Getting the Dataset
with your information (name, title, affiliation, country, email).

We currently provide 1. Person interaction (Details)

Monpa

Multi-Objective NER POS Annotator.

TMUNLP Word2Vec

Download Pre-trained Word/Character Vectors

Valence & Arousal

Vectorized emotions using Valence and Arousal

DEWS Dashboard

ProMED Visualization of annual disease reports by country.

Word Cloud

Emotion keyword cloud generated from 3 years of news articles.

Cluster

Keywords clustered by their corresponding emotion category.

Keyword Trends

Trending keywords in news articles from 2012.

Emotion Trends

Emotion trends in news articles from 2012.

Mental Illness Ontology

mental illness ontology is construct by Huangdi Neijing through the text mining.






Publication

Journal Articles

  • Yu-Ya Cheng, Yan-Ming Chen, Wen-Chao Yeh, and Yung-Chun Chang*, "Valence and Arousal-infused Bi-directional LSTM for Sentiment Analysis of Government Social Media Management", Applied Science. (IF: 2.474, JCR: Q2)
  • Jianjun Zhu, Yung-Chun Chang, Chih-Hao Ku, Yiyan LI, Chi-Jen Chen, "Online Critical Review Classification in Response Strategy and Service Provider Rating: Algorithms from Heuristic Processing, Sentiment Analysis to Deep Learning", Journal of Business Research. (IF: 4.874, JCR: Q1, ABDC: A)
  • Neha Warikoo, Yung-Chun Chang*, and Wen-Lian Hsu, "LBERT: Lexically-aware Transformers based Bidirectional Encoder Representation model for learning Universal Bio-Entity Relations.," Bioinformatics. (IF: 5.610, JCR: Q1, ABDC: A)
  • Ting-Hao Yang, Yu-Lun Hsieh, Shih-Hung Liu, Yung-Chun Chang*, and Wen-Lian Hsu, "A Flexible Template Generation and Matching Method with Applications for Publication Reference Metadata Extraction," Journal of the Association for Information Science and Technology. (IF: 2.738, JCR: Q1, ABDC: A*)
  • Yung-Chun Chang, Chih-Hao Ku* and, Chien-Hung Chen, "Using Deep Learning and Visual Analytics to Explore Hotel Reviews and Responses," Tourism Management. (IF: 6.012, JCR: Q1, ABDC: A*)
  • Yung-Chun Chang*, Wen-Chao Yeh, Yan-Chun Hsing, and Chen-Ann Wang, "Refined Distributed Emotion Vector Representation for Social Media Sentiment Analysis," PLOS ONE. (IF: 2.776, JCR: Q2)
  • Chi-Jen Chen, Neha Warikoo, Yung-Chun Chang*, Jin-Hua Chen, and Wen-Lian Hsu, "Medical Knowledge Infused Convolutional Neural Networks for Cohort Selection in Clinical Trials," Journal of the American Medical Informatics Association, vol. 26, Issue 11, pp. 1227-1236, 2019. (IF: 4.292, JCR: Q1, ADBC: A)
  • Yung-Chun Chang, Chih-Hao Ku*, and Chun-Hung Chen, "Social media analytics: Extracting and visualizing Hilton hotel ratings and reviews from TripAdvisor," International Journal of Information Management, vol. 48, pp. 263-279, 2019. (IF: 5.603, JCR: Q1, ADBC: A*)
  • Neha Warikoo, Yung-Chun Chang*, and Wen-Lian Hsu*, "LPTK: A Linguistic Pattern-Aware Dependency Tree Kernel Approach for the BioCreative VI CHEMPROT Task," Database-The Journal of Biological Databases and Curation, vol. 2018, pp. bay108, 2018. (IF: 3.683, JCR: Q1)
  • Yung-Chun Chang*, Cheng-Wei Shih, and Wen-Lian Hsu, "Entailment-based Intelligent Agent for Software Project Monitoring and Control," IEEE Systems Journal, vol. 12, Issue 1, pp. 216-227, 2018. (IF: 4.463, JCR: Q1)
  • Yung-Chun Chang, Pi-Hua Chuang, Chien Chin Chen*, and Wen-Lian Hsu, "FISER: A Feature-based Detection System for Person Interactions," Computational Intelligence, vol. 33, Issue 4, pp. 656-679, 2017. (IF: 1.352, JCR: Q3)
  • Yung-Chun Chang*, Yu-Lun Hsieh, Cen-Chieh Chen, and Wen-Lian Hsu, "A Semantic Frame-based Intelligent Agent for Topic Detection," Soft Computing, vol. 21, Issue 2, pp. 392-401, 2017. (IF: 2.367, JCR: Q2)
  • Yung-Chun Chang, Chun-Han Chu, Chien Chin Chen*, and Wen-Lian Hsu, "Linguistic Template Extraction for Recognizing Reader-Emotion," International Journal of Computational Linguistics and Chinese Language Processing, vol. 21, no. 1, pp. 29-50, 2016.
  • Yung-Chun Chang, Chien Chin Chen*, and Wen-Lian Hsu, "SPIRIT: A Tree Kernel-based Method for Topic Person Interaction Detection," IEEE Transactions on Knowledge and Data Engineering, vol. 28, Issue 9, pp. 2494-2507, 2016. (IF: 3.438, JCR: Q1)
  • Yung-Chun Chang, Chun-Han Chu, Yu-Chen Su, Chien Chin Chen, and Wen-Lian Hsu*, "PIPE: A BioC Module for Protein-protein Interaction Passage Extraction," Database-The Journal of Biological Databases and Curation, vol. 2016, pp. baw101, 2016. (IF: 3.290, JCR: Q1)
  • Yung-Chun Chang, Zhong-Yong Chen, Chien Chin Chen*, and Wen-Lian Hsu, "Constructing Topic Person Interaction Networks Using a Tree Kernel-based Method," International Journal of Languages, Literature and Linguistics, vol. 1, no. 4, pp. 238-245, 2015.
  • Hong-Jie Dai*, Po-Ting Lai, Yung-Chun Chang, and Richard Tzong-Han Tsai, "Enhancing of chemical compound and drug name recognition using representative tag scheme and fine-grained tokenization," Journal of Cheminformatics, vol. 7, no. 1, pp. 14-24, 2015. (IF: 3.949, JCR: Q1)
  • Yung-Chun Chang, Hong-Jie Dai*, Johnny Chi-Yang Wu, Jian-Ming Chen, Richard Tzong-Han Tsai, and Wen-Lian Hsu, "TEMPTING System: A Hybrid Method of Rule and Machine Learning for Temporal Relation Extraction in Patient Discharge Summaries," Journal of Biomedical Informatics, vol. 46, pp. 54-62, 2013. (IF: 2.482, JCR: Q1)
  • Chang-Shing Lee*, Yung-Chun Chang, and Mei-Hui Wang, "Ontological Recommendation Multi-Agent for Tainan City Travel," Expert Systems with Applications, vol. 36, Issue 3, pp. 6740-6753, 2009. (IF: 2.908, JCR: Q1)
  • 李健興, 張詠淳, 黃雅琴, 郭耀煌, 許舜欽, "基於Ontology 之專案監控知識管理之研究," 臺南大學理工研究學報, vol. 40, no. 1, pp. 69-87, 2006.
  • 李健興, 張詠淳, 陳瑞仁, 許舜欽, "CMMI 問答知識本體建構技術之研究," 創新與管理期刊, vol. 3, no. 1, pp. 1-23, 2006.
  • Conference Papers

  • Yen-Chun Huang, Yi-Hsuan Huang, Yu-Ya Cheng, Jung-Yi Liao, and Yung-Chun Chang*, "TMUDS at the NTCIR-15 DialEval-1 Task," in proceeding of the 15th NII Testbeds and Community for Information access Research (NTCIR), 2020.
  • Yu-Chi Liang, Yi-Hsuan Huang, Yu-Ya Cheng, and Yung-Chun Chang*, "TMUNLP at the NTCIR-15 FinNum-2," in proceeding of the 15th NII Testbeds and Community for Information access Research (NTCIR), 2020.
  • Duy-Duc Le Nguyen, Yu-Chi Liang, and Yung-Chun Chang*, "TMU19 at NTCIR-15 Micro-activity Retrieval Task," in proceeding of the 15th NII Testbeds and Community for Information access Research (NTCIR), 2020.
  • Yu-Ting Chen, Zheng-Wen Lin, Yung-Chun Chang*, Wen-Lian Hsu, "KIDER: Knowledge-Infused Document Embedding Representation for Text Categorization," in proceeding of the 33th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, 2020.
  • Duy-Duc Le Nguyen, Yen-Chun Huang, and Yung-Chun Chang*, "Discriminative Features Fusion with BERT for Social Sentiment Analysis," in proceeding of the 33th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, 2020.
  • Po-Jung SU*, Yu-Ann Fang, Yung-Chun Chang, Yung-Chia Kuo, and Yung-Chang Lin, "Establish a predictive model for high-risk de novo metastatic prostate cancer patients by machine learning," in proceeding of Journal of Global Oncology, 2019.
  • 張詠淳*, 葉文照, 謝育倫, 許聞廉, "MONPA: 多目標中文命名實體辨識與詞性標註系統," in proceeding of the 2019 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2019), 2019.
  • Wen-Chao Yeh, Yung-Chun Chang*, Yu-Hsuan Li, and Wei-Chieh Chang, "Rhyming Knowledge-aware Deep Neural Network for Chinese Poetry Generation," in proceeding of 2019 International Conference on Machine Learning and Cybernetics (ICMLC),2019.
  • Yan-Chun Hsing, Chien-Hung Chen, and Yung-Chun Chang*, "TMUNLP System at the NTCIR-14 STC3 Task," in proceeding of the 14th NII Testbeds and Community for Information access Research (NTCIR), 2019.
  • Chih-Hao Ku*, Yung-Chun Chang, Yichung Wang, Chien-Hung Chen, and Shih-Hui Hsiao, "Artificial Intelligence and Visual Analytics: A Deep-Learning Approach to Analyze Hotel Reviews & Responses," in proceeding of 2019 Hawaii International Conference on System Sciences (HICSS-52), 2019.
  • Chien-Hung Chen, Yan-Chun Hsing, and Yung-Chun Chang*, "Composite Kernels for Public Emotion Recognition from Twitter," in proceeding of 20th International Conference on Computational Linguistics and Natural Language Processing, 2018.
  • 葉文照, 張詠淳, "應用文字探勘技術與資料視覺化於咖啡風味評鑑描述之研究," in proceeding of TANET2018 臺灣網際網路研討會, 2018.
  • Chi-Jen Chen, Neha Warikoo, Yung-Chun Chang*, Hsyien-Chia Wen, and Jin-Hua Chen, "Cohort selection in Clinical trials using enriched word-vectors for SVM and CNN models," in proceeding of n2c2 National NLP Clinical Challenges, 2018.
  • Yung-Chun Chang*, Fang Yi Lee, and Chun Hung Chen, "A Public Opinion Keyword Vector for Social Sentiment Analysis Research," in proceeding of 10th International Conference on Advanced Computational Intelligence, 2018.
  • Neha Warikoo, Yung-Chun Chang*, Hong-Jie Dai, and Wen-Lian Hsu, "An Ensemble Neural Network Model for Benefiting Pregnancy Health Stats from Mining Social Media," in proceeding of the Asia Information Retrieval Societies Conference, 2018.
  • 邢晏純, 陳建宏, 陳芬芳, 劉起豪, 張詠淳*, "基於詩詞關鍵字向量之卷積神經網路於唐詩分類與風格分析," in proceeding of the 2018 Conference on Technologies and Applications of Artificial Intelligence (TAAI), 2018.
  • Yung-Chun Chang, Yu-Lun Hsieh, and Wen-Lian Hsu*, "CIAL at the NTCIR-13 STC-2 Task," in proceeding of the 13th NII Testbeds and Community for Information access Research (NTCIR) on Short Text Conversation Task, 2017.
  • Yu-Lun Hsieh, Yung-Chun Chang*, Yi-Jie Huang, Shu-Hao Yeh, Chun-Hung Chen, and Wen-Lian Hsu, "MONPA: Multi-objective Named-entity and Part-of-speech Annotator for Chinese using Recurrent Neural Network," in proceeding of the 8th International Joint Conference on Natural Language Processing (IJCNLP), 2017.
  • Yu-Lun Hsieh, Yung-Chun Chang*, Nai-Wen Chang and Wen-Lian Hsu, "Identifying Protein-protein Interactions in Biomedical Literature using Recurrent Neural Networks with Long Short-Term Memory," in proceeding of the 8th International Joint Conference on Natural Language Processing (IJCNLP), 2017.
  • 張詠淳, 王晨安, 林政文, 許聞廉*, "基於情緒構面模型之社群多媒體文本意見分析," in proceeding of the 2017 Conference on Technologies and Applications of Artificial Intelligence, 2017.
  • Neha Warikoo, Yung-Chun Chang, Po-Ting Lai, and Wen-Lian Hsu*, "CTCPI – Convolution Tree Kernel-based Chemical-Protein Interaction Detection," in proceeding of BioCreative VI Challenge Evaluation Workshop, 2017.
  • Yi-Jie Huang, Chu Hsien Su, Yi-Chun Chang, Tseng-Hsin Ting, Tzu-Yuan Fu, Rou-Min Wang, Hong-Jie Dai, Yung-Chun Chang*, Jitendra Jonnagaddala, and Wen-Lian Hsu, "Pregnant Women Recognition from Social Media for Health-related Information Exploration," in proceeding of the first International Workshop on Digital Disease Detection using Social Media (IJCNLP), 2017.
  • Neha Warikoo, Yung-Chun Chang*, and Wen-Lian Hsu, "Chemical-Induced Disease Detection Using Invariance-based Pattern Learning Model," in proceeding of the first International Workshop on Digital Disease Detection using Social Media (IJCNLP), 2017.
  • Zheng-Wen Lin, Yung-Chun Chang*, Chen-Ann Wang, Yu-Lun Hsieh, and Wen-Lian Hsu, "CIAL Valence-Arousal Analysis System at IJCNLP 2017 Shared Task: Dimensional Sentiment Analysis for Chinese Words and Phrases," in proceeding of Dimensional Sentiment Analysis for Chinese Words (IJCNLP), 2017.
  • Chih-Hao Ku, Yung-Chun Chang*, "Natural Language Processing: From Text Mining to Social Media Analysis," in proceeding of INFORMS Annual Meeting, 2016.
  • Yu-Lun Hsieh, Chen-Ann Wang, Ying-Wei Wu, Yung-Chun Chang, and Wen-Lian Hsu*, "IASL Valence-Arousal Analysis System at IALP 2016 shared Task: Dimensional Sentiment Analysis for Chinese Words," in proceeding of the 20th International Conference on Asian Language Processing (IALP) on the Dimensional Sentiment Analysis for Chinese Words, 2016.
  • Chun-Han Chu, Chen-Ann Wang, Yung-Chun Chang, Ying-Wei Wu, Yu-Lun Hsieh, and Wen-Lian Hsu*, "Sentiment Analysis on Chinese Movie Review with Distributed Keyword Vector Representation," in proceeding of 2016 Conference on Technologies and Applications of Artificial Intelligence, 2016.
  • Xi Wang*, Zhiya Zuo, Yang Zhang, Kang Zhao, Yung-Chun Chang, and Chin-Shun Chou, "Investigate Regional Prejudice in China through the Lens of Weibo," in proceeding of the 8th International Conference on Social Informatics (SocInfo), 2016.
  • Yung-Chun Chang, Chien Chin Chen, and Wen-Lian Hsu, "SPIRIT: A Tree Kernel-based Method for Topic Person Interaction Detection (Extended abstract)," in proceeding of 2017 IEEE International Conference on Data Engineering, 2017.
  • Yu-Lun Hsieh, Yung-Chun Chang, Chun-Han Chu, and Wen-Lian Hsu*, "How do I look? Publicity Mining from Distributed Keyword Representation of Socially Infused News Articles," in proceeding of the 4th International Workshop (EMNLP) on Natural Language Processing for Social Media (SocialNLP), 2016.
  • Yung-Chun Chang, Chin-Shun Chou, Yang Zhang, Xi Wang, and Wen-Lian Hsu*, "Sentiment Analysis of Chinese Microblog Message Using Neural Network-based Vector Representation for Measuring Regional Prejudice," in proceeding of the 20th Pacific Asia Conference on Information Systems (PACIS), 2016.
  • Ting Hao Yang, Yu-Lun Hsieh, You-Shan Chung, Dapi Shih, Shih-Hung Liu, Yung-Chun Chang and Wen-Lian Hsu*, "Principle-based Approach for Semi-automatic Construction of a Restaurant Question Answering System from Limited Datasets," in proceeding of the 5th IEEE International Workshop on Empirical Methods for Recognizing Inference in Text, 2016.
  • Yung-Chun Chang, Zhong-Yong Chen, Chien Chin Chen, and Wen-Lian Hsu*, "Constructing Topic Person Interaction Networks Using a Tree Kernel-based Method," in proceeding of the 5th International Conference on Languages, Literature and Linguistics, 2015.
  • Chun-Han Chu, Apoorva Honnegowda Roopa, Yung-Chun Chan, and Wen-Lian Hsu*, "Constructing sentiment sensitive vectors for word polarity classification," in proceeding of the 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI), 2015.
  • Yu-Lun Hsieh, Shih-Hung Liu, Yung-Chun Chang, and Wen-Lian Hsu*, "Distributed Keyword Vector Representation for Document Categorization," in proceeding of the 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI), 2015.
  • 張詠淳, 魏名宣, 許舜欽, "基於分散式架構技術之5五將棋電腦對局平台之研究," in proceeding of the 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI), 2015.
  • Yung-Chun Chang, Yu-Chen Su, Chun-Han Chu, Chien Chin Chen, and Wen-Lian Hsu*, "Protein-protein Interaction Passage Extraction Using the Interaction Pattern Kernel Approach for the BioCreative 2015 BioC Track," in proceeding of the Fifth BioCreative Challenge Evaluation Workshop, 2015.
  • Yu-Lun Hsieh, Shih-Hung Liu, Yung-Chun Chang, and Wen-Lian Hsu*, "Neural Network-based Vector Representation of Documents for Reader-Emotion Categorization," in proceeding of the 4th IEEE International Workshop on Empirical Methods for Recognizing Inference in Text, 2015.
  • Yung-Chun Chang, Cen-Chieh Chen, and Wen-Lian Hsu*, "Semantic Frame-based Approach for Reader-Emotion Detection," in proceeding of the 19th Pacific Asia Conference on Information Systems (PACIS), AIS Electronic Library (AISeL), 2015.
  • Yung-Chun Chang, Cen-Chieh Chen, Yu-Lun Hsieh, Chien Chin Chen, and Wen-Lian Hsu*, "Linguistic Template Extraction for Recognizing Reader-Emotion and Emotional Resonance Writing Assistance," in proceeding of 53th Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (ACL), 2015.
  • Yung-Chun Chang, Yu-Lun Hsieh, Cen-Chieh Chen, Chad Liu, Chun-Hung Lu, and Wen-Lian Hsu, "Semantic Frame-based Statistical Approach for Topic Detection," in proceeding of the 28th Pacific Asia Conference on Language, Information and Computing (PACLIC), Lecture Notes in Computer Science, 2014.
  • Yu-Lun Hsieh, Shih-Hung Liu, Ting-Hao Yang, Yu-Hsuan Chen, Yung-Chun Chang, Chiu-Chen Hsieh, Cheng-Wei Shih, Chun-Hung Lu, and Wen-Lian Hsu, "A Frame-based Approach for Reference Metadata Extraction," in proceeding of the 2014 Conference on Technologies and Applications of Artificial Intelligence (TAAI), Lecture Notes in Computer Science, 2014.
  • Yung-Chun Chang, Yu-Chen Su, Nai-Wen Chang and Wen-Lian Hsu, "An Interaction Pattern Kernel Approach for protein-protein interaction extraction from biomedical literature," in proceeding of the 2014 Conference on Technologies and Applications of Artificial Intelligence (TAAI), Lecture Notes in Computer Science, 2014.
  • Chih-Wei Chen, Nai-Wen Chang, Yung-Chun Chang, and Hong-Jie Dai, "Section Heading Recognition in Electronic Health Records Using Conditional Random Fields," in proceeding of the 2014 Conference on Technologies and Applications of Artificial Intelligence (TAAI), Lecture Notes in Computer Science, 2014.
  • Yung-Chun Chang, Chien Chin Chen, and Wen-Lian Hsu, "Discovering the interactions between persons from Chinese Topic Documents," in proceeding of the 26th Conference on Computational Linguistics and Speech Processing (ROCLING), 2014.
  • Yung-Chun Chang, Yu-Lun Hsieh, Cen-Chieh Chen, and Wen-Lian Hsu, "Semantic Frame-based Natural Language Understanding for Intelligent Topic Detection Agent," in proceeding of the 27th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE), Lecture Notes in Computer Science, 2014.
  • Yung-Chun Chang, Chien Chin Chen, and Wen-Lian Hsu, "A Composite Kernel Approach for Detecting Interactive Segments in Chinese Topic Documents," in proceeding of the 9th Asia Information Retrieval Societies Conference (AIRS), Lecture Notes in Computer Science, 2013.
  • 張詠淳, 陳聖傑, 許聞廉, "基於語意框架之主題事件偵測研究," in proceeding of 第十八屆人工智慧與應用研討會 (TAAI), 2013.
  • Jian-Ming Chen, Yung-Chun Chang, Johnny Chi-Yang Wu, Po-Ting Lai, and Hong-Jie Dai, "Gene Ontology Evidence Sentence Retrieval Using Combinatorial Applications of Semantic Class and Rule Patterns," in proceeding of the Fourth BioCreAtIvE Challenge Evaluation Workshop, Lecture Notes in Computer Science, 2013.
  • Yuan-Chien Lin, Hwa-Lung Yu, Nai-Wen Chang, and Yung-Chun Chang, "Typhoon Heavy Rainfall Modeling by Probabilistic Graphical Models," in proceeding of the 10th Asia Oceania Geosciences Society Annual Meeting, Lecture Notes in Computer Science, 2013.
  • Yung-Chun Chang, Pi-Hua Chuang, Chien Chin Chen, and Wen-Lian Hsu, "FISER: An Effective Method for Detecting Interactions between Topic Persons," in proceeding of the 8th Asia Information Retrieval Societies Conference (AIRS), Lecture Notes in Computer Science, 2012.
  • Yung-Chun Chang, Jian-Ming Chen, Hong-Jie Dai, Johnny Chi-Yang Wu, Chun-Hung Lu, Richard Tzong-Han Tsai, and Wen-Lian Hsu, "TEMPTING: A TEMPoral relation extracting System for the i2b2 2012 TLINK Track," in proceeding of the 2012 i2b2 Shared-Tasks and Workshop on Challenges in Natural Language Processing for Clinical Data, Lecture Notes in Artificial Intelligence, 2012.
  • 許聞廉, 呂菁菁, 謝秋珍, 姜天戩, 李政緯, 張詠淳, "以自然輸入法促進新移民對於在不同語境下使用不同的同音字之覺識," in proceeding of 全球華人計算機教育應用大會 (GCCCE), 2012.
  • Mike Tian-Jian Jiang, Cheng-Wei Lee, Chad Liu, Yung-Chun Chang, and Wen-Lian Hsu, "Robustness Analysis of Adaptive Chinese Input Methods," in proceeding of the Workshop on Advances in Text Input Methods (WTIM), Lecture Notes in Computer Science, 2011.
  • Yung-Chun Chang, Pei-Ching Yang, and Jung-Hsien Chiang, "Ontology-based intelligent web mining agent for Taiwan travel," in proceeding of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), Lecture Notes in Artificial Intelligence, 2009.
  • Chang-Shing Lee, Mei-Hui Wang, Wei-Chun Sun, and Yung-Chun Chang, "Intelligent Healthcare Agent for Food Recommendation at Tainan City," in proceeding of IEEE International Conference on Systems, Man, and Cybernetics (SMC), Lecture Notes in Artificial Intelligence, 2008.
  • 張詠淳, 陳欣瑜, 翁維瓏, "基於知識之智慧型內容管理系統," in proceeding of 第十三屆人工智慧與應用研討會, 2008.
  • 張詠淳, 徐嘉陽, "基於知識本體與粒子群最佳化之文件分類代理人," in proceeding of 中華民國第十六屆模糊理論及其應用會議, 2008.
  • 李健興, 楊峻泓, 陳政佑, 張詠淳, "應用模糊推論機制建構府城小吃知識本體," in proceeding of 第十八屆物件導向技術及應用研討會 (OOTA), 2007.
  • 李健興, 張詠淳, 孫維駿, 許舜欽, "智慧型語意搜尋代理人於CMMI 專案監控之研究," in proceeding of 全國計算機會議, 2007.
  • 李健興, 張詠淳, 王美慧, 許舜欽, "基於知識本體之語意搜尋代理人," in proceeding of 數位生活科技研討會, 2007.
  • 李健興, 張詠淳, 賴貞汝, 張乃文, 陳宜婷, 許舜欽, "建構呼吸照護知識本體之研究," in proceeding of 資訊科技國際研討會, 2007.
  • 李健興, 張詠淳, 吳與倫, "基於CMMI 知識本體之學習導向知識管理系統之研究," in proceeding of 電子商務與數位生活研討會, 2006.
  • 李健興, 張詠淳, 王美慧, 郭耀煌, 許舜欽, "CMMI 專案監控網路服務之研究," in proceeding of 第十七屆物件導向技術及應用研討會, 2006.
  • 李健興, 江俊志, 張詠淳, 郭耀煌, "支援CMMI 專案監控網路服務之研究," in proceeding of 中華民國九十四年全國計算機會議, 2005.
  • 劉振隆, 王啟濬, 杜宜蓉, 張詠淳, "以蟻行演算法建構最佳化之消防路徑派遣系統-以台南市行政區為例," in proceeding of 第十一屆資訊管理暨實務研討會, 2005.
  • 李健興, 黃麟凱, 張詠淳, 賴智錦, "基於CMMI SWPQA 知識本體之文件摘要技術研究," in proceeding of 第十一屆資訊管理暨實務研討會, 2005.
  • 劉振隆, 張詠淳, 黃雅琴, "以生物智慧之蟻行演算法建立最佳化之消防路徑派遣系統," in proceeding of 物流暨資訊應用學術研討會, 2005.

  • Projects


  • MOST 109-2410-H-038 -012 -MY2 以機器學習和自然語言理解技術探勘社群互動關係及商業智慧之應用, Using Machine Learning and Natural Language Processing for Exploring Social interaction and Its Applications of Business Intelligence. (2020-08-01 ~ 2022-07-31)
  • MOST 107-2410-H-038 -017 -MY3 以多目標深度學習方法進行中文短句語意分析與建構領域對話機器人之研究, Deep multi-task Learning for semantic analysis and similarity measurement of Chinese short text. (2018-09-01 ~ 2021-08-31)
  • MOST 106-2218-E-038 -004 -MY2 發掘社群互動關係與群眾觀感探勘之研究, Social Interaction Discovery and Publicity Mining. (2017-11-01 ~ 2019-10-31)

  • Alumnus


    李宇璇

    TMU Data Science
    M.S. Student

    陳麒任 (Chi-Jen Chen)

    TMU Data Science
    M.S. Student

    李鈺祥

    TMU Data Science
    Undergraduate Student

    黃臆榤

    NTHU CSIE
    M.S. Student

    陳榮蓬

    NTHU ISA
    M.S. Student

    林庭宇 (Ting-Yu Lin)

    NTU Data Science
    M.S. Student

    林政文 (Zheng-Wen Lin)

    NTHU ISA
    M.S. Student

    張維羽

    TMU Data Science
    M.S. Student

    方玉安

    TMU Data Science
    M.S. Student

    蘇柏榮

    TMU Data Science
    M.S. Student

    李芳儀 (Fang Yi Lee)

    TMU Data Science
    M.S. Student

    高嘉敏

    TMU Data Science
    Undergraduate Student

    周欣穎

    TMU Data Science
    Undergraduate Student

    張恩慈

    TMU Data Science
    Undergraduate Student

    連苡

    TMU Data Science
    Undergraduate Student

    李孟樺

    TMU Data Science
    Undergraduate Student

    高行宜

    TMU Data Science
    Undergraduate Student

    張潁柔 (Ying-Jou Chang)

    TMU Data Science
    Undergraduate Student

    陳嬿伃 (Yen-Yu Chen)

    TMU Data Science
    Undergraduate Student

    吳亦軒 (Yi-Syuan Wu)

    TMU Data Science
    Undergraduate Student

    林志成 (Chih-Cheng Lin)

    TMU Data Science
    Undergraduate Student

    王姵樺 (Pai-Hua Wang)

    TMU Data Science
    Undergraduate Student