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Yung-Chun Chang

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2020 – today

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2025
[j27]
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Jean Aristide Aquino, Di Jie Liew, Yung-Chun Chang:
Graph-aware pre-trained language model for political sentiment analysis in Filipino social media. Eng. Appl. Artif. Intell. 146: 110317 (2025)
2024
[j26]
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Chih Hao Ku, Yung-Chun Chang, Yichuan Wang:
How to strategically respond to online hotel reviews: A strategy-aware deep learning approach. Inf. Manag. 61(5): 103970 (2024)
[j25]
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Ting-Yun Huang, Chee-Fah Chong, Heng-Yu Lin, Tzu-Ying Chen, Yung-Chun Chang, Ming-Chin Lin:
A pre-trained language model for emergency department intervention prediction using routine physiological data and clinical narratives. Int. J. Medical Informatics 191: 105564 (2024)
[j24]
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Panchanit Boonyarat, Di Jie Liew, Yung-Chun Chang:
Leveraging enhanced BERT models for detecting suicidal ideation in Thai social media content amidst COVID-19. Inf. Process. Manag. 61(4): 103706 (2024)
[j23]
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Tzu-Ying Chen, Ting-Yun Huang, Yung-Chun Chang:
Using a clinical narrative-aware pre-trained language model for predicting emergency department patient disposition and unscheduled return visits. J. Biomed. Informatics 155: 104657 (2024)
[c47]
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Sheng-Jie Lin, Chien Chin Chen, Yung-Chun Chang:
AMP-BiLSTM: An Enhanced Highlight Extraction Method Using Multi-Channel Bi-LSTM and Self-Attention in Streaming Videos. ICSC 2024: 9-16
2023
[j22]
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Robert Leaman, Rezarta Islamaj, Virginia Adams, Mohammed Alliheedi, João Rafael Almeida, Rui Antunes, Robert Bevan, Yung-Chun Chang, Arslan Erdengasileng, Matthew Hodgskiss, Ryuki Ida, Hyunjae Kim, Keqiao Li, Robert E. Mercer, Lukrécia Mertová, Ghadeer Mobasher, Hoo-Chang Shin, Mujeen Sung, Tomoki Tsujimura, Wen-Chao Yeh, Zhiyong Lu:
Chemical identification and indexing in full-text articles: an overview of the NLM-Chem track at BioCreative VII. Database J. Biol. Databases Curation 2023 (2023)
[j21]
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Min-Chen Chen, Ting-Yun Huang, Tzu-Ying Chen, Panchanit Boonyarat, Yung-Chun Chang:
Clinical narrative-aware deep neural network for emergency department critical outcome prediction. J. Biomed. Informatics 138: 104284 (2023)
[j20]
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Yung-Chun Chang, Siu Hin Ng, Jung-Peng Chen, Yu-Chi Liang, Wen-Lian Hsu:
Semantic Template-based Convolutional Neural Network for Text Classification. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(11): 249:1-249:21 (2023)
[c46]
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Tzu-Ying Chen, Jean Aristide Aquino, Yu-Wen Chiu, Wen-Chao Yeh, Yung-Chun Chang:
Understanding the Clinical Context of Medication Change Events in Clinical Narratives using Pre-trained Clinical Language Models. ICMHI 2023: 98-103
2022
[j19]
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Qingyu Chen, Alexis Allot, Robert Leaman, Rezarta Islamaj, Jingcheng Du, Li Fang, Wang Kai, Shuo Xu, Yuefu Zhang, Parsa Bagherzadeh, Sabine Bergler, Aakash Bhatnagar, Nidhir Bhavsar, Yung-Chun Chang, Sheng-Jie Lin, Wentai Tang, Hongtong Zhang, Ilija Tavchioski, Senja Pollak, Shubo Tian, Jinfeng Zhang, Yulia Otmakhova, Antonio Jimeno-Yepes, Hang Dong, Honghan Wu, Richard Dufour, Yanis Labrak, Niladri Chatterjee, Kushagri Tandon, Fréjus A. A. Laleye, Loïc Rakotoson, Emmanuele Chersoni, Jinghang Gu, Annemarie Friedrich, Subhash Chandra Pujari, Mariia Chizhikova, Naveen Sivadasan, Saipradeep Vg, Zhiyong Lu:
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations. Database J. Biol. Databases Curation 2022(2022) (2022)
[j18]
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Sheng-Jie Lin, Wen-Chao Yeh, Yu-Wen Chiu, Yung-Chun Chang, Min-Huei Hsu, Yi-Shin Chen, Wen-Lian Hsu:
A BERT-based ensemble learning approach for the BioCreative VII challenges: full-text chemical identification and multi-label classification in PubMed articles. Database J. Biol. Databases Curation 2022(2022) (2022)
[j17]
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Yung-Chun Chang, Chih Hao Ku, Duy-Duc Le Nguyen:
Predicting aspect-based sentiment using deep learning and information visualization: The impact of COVID-19 on the airline industry. Inf. Manag. 59(2): 103587 (2022)
[c45]
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Chien-Hung Chen, Yung-Chun Chang, Chih Hao Ku:
Deep Neural Network-based Question Answering System for Customer Relationship Management. PACIS 2022: 62
[c44]
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Wen-Chao Yeh, Yu-Lun Hsieh, Yung-Chun Chang, Wen-Lian Hsu:
Multifaceted Assessments of Traditional Chinese Word Segmentation Tool on Large Corpora. ROCLING 2022: 193-199
[c43]
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Yung-Chun Chang, Tzu-Ying Chen, Ting-Yu Lin, Yu-Lun Hsieh:
Using Multi-task Deep Neural Network to Explore Person Interaction from Social Media. WI/IAT 2022: 371-376
[e2]
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Yung-Chun Chang, Yi-Chin Huang:
Proceedings of the 34th Conference on Computational Linguistics and Speech Processing, ROCLING 2022, Taipei, Taiwan, November 21-22, 2022. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP) 2022 [contents]
[i1]
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Qingyu Chen, Alexis Allot, Robert Leaman, Rezarta Islamaj Dogan, Jingcheng Du, Li Fang, Wang Kai, Shuo Xu, Yuefu Zhang, Parsa Bagherzadeh, Sabine Bergler, Aakash Bhatnagar, Nidhir Bhavsar, Yung-Chun Chang, Sheng-Jie Lin, Wentai Tang, Hongtong Zhang, Ilija Tavchioski, Shubo Tian, Jinfeng Zhang, Yulia Otmakhova, Antonio Jimeno-Yepes, Hang Dong, Honghan Wu, Richard Dufour, Yanis Labrak, Niladri Chatterjee, Kushagri Tandon, Fréjus A. A. Laleye, Loïc Rakotoson, Emmanuele Chersoni, Jinghang Gu, Annemarie Friedrich, Subhash Chandra Pujari, Mariia Chizhikova, Naveen Sivadasan, Zhiyong Lu:
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations. CoRR abs/2204.09781 (2022)
2021
[j16]
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Yung-Chun Chang, Yan-Chun Hsing:
Emotion-infused deep neural network for emotionally resonant conversation. Appl. Soft Comput. 113(Part): 107861 (2021)
[j15]
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Neha Warikoo, Yung-Chun Chang, Wen-Lian Hsu:
LBERT: Lexically-aware Transformers based Bidirectional Encoder Representation model for learning Universal Bio-Entity Relations. Bioinform. 36(22-23): 5565 (2021)
[j14]
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Neha Warikoo, Yung-Chun Chang, Wen-Lian Hsu:
LBERT: Lexically aware Transformer-based Bidirectional Encoder Representation model for learning universal bio-entity relations. Bioinform. 37(3): 404-412 (2021)
[j13]
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Ting-Hao Yang, Yu-Lun Hsieh, Shih-Hung Liu, Yung-Chun Chang, Wen-Lian Hsu:
A flexible template generation and matching method with applications for publication reference metadata extraction. J. Assoc. Inf. Sci. Technol. 72(1): 32-45 (2021)
[c42]
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Yu-Ya Cheng, Wen-Chao Yeh, Yan-Ming Chen, Yung-Chun Chang:
Using Valence and Arousal-infused Bi-LSTM for Sentiment Analysis in Social Media Product Reviews. ROCLING 2021: 210-217
[c41]
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Yu-Chi Liang, Min-Chen Chen, Wen-Chao Yeh, Yung-Chun Chang:
Numerical Relation Detection in Financial Tweets using Dependency-aware Deep Neural Network. ROCLING 2021: 218-225
[c40]
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Siu Hin Ng, Yen-Chun Huang, Sheng-Jie Lin, Yung-Chun Chang:
Context-dependent Features Fusion with BERT for Evaluating Multi-Turn Customer-Helpdesk Dialogues. WI/IAT 2021: 512-517
2020
[c39]
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Yu-Ting Chen, Zheng-Wen Lin, Yung-Chun Chang, Wen-Lian Hsu:
KIDER: Knowledge-Infused Document Embedding Representation for Text Categorization. IEA/AIE 2020: 18-29
[c38]
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Duy-Duc Le Nguyen, Yen-Chun Huang, Yung-Chun Chang:
Discriminative Features Fusion with BERT for Social Sentiment Analysis. IEA/AIE 2020: 30-35

2010 – 2019

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2019
[j12]
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Yung-Chun Chang, Chih Hao Ku, Chun-Hung Chen:
Social media analytics: Extracting and visualizing Hilton hotel ratings and reviews from TripAdvisor. Int. J. Inf. Manag. 48: 263-279 (2019)
[j11]
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Chi-Jen Chen, Neha Warikoo, Yung-Chun Chang, Jin-Hua Chen, Wen-Lian Hsu:
Medical knowledge infused convolutional neural networks for cohort selection in clinical trials. J. Am. Medical Informatics Assoc. 26(11): 1227-1236 (2019)
[c37]
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Chih Hao Ku, Yung-Chun Chang, Yichuan Wang, Chien-Hung Chen, Shih-Hui Hsiao:
Artificial Intelligence and Visual Analytics: A Deep-Learning Approach to Analyze Hotel Reviews & Responses. HICSS 2019: 1-10
[c36]
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Wen-Chao Yeh, Yung-Chun Chang, Yu-Hsuan Li, Wei-Chieh Chang:
Rhyming Knowledge-Aware Deep Neural Network for Chinese Poetry Generation. ICMLC 2019: 1-6
[c35]
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Wen-Chao Yeh, Yu-Lun Hsieh, Yung-Chun Chang, Wen-Lian Hsu:
MONPA: 中文命名實體及斷詞與詞性同步標註系統(MONPA: A Multitask Chinese Segmentation, Named-entity and Part-of-speech Annotator). ROCLING 2019: 241-245
2018
[j10]
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Neha Warikoo, Yung-Chun Chang, Wen-Lian Hsu:
LPTK: a linguistic pattern-aware dependency tree kernel approach for the BioCreative VI CHEMPROT task. Database J. Biol. Databases Curation 2018: bay108 (2018)
[j9]
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Yung-Chun Chang, Cheng-Wei Shih, Wen-Lian Hsu:
Entailment-Based Intelligent System for Software Project Monitoring and Control. IEEE Syst. J. 12(1): 216-227 (2018)
[c34]
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Neha Warikoo, Yung-Chun Chang, Hong-Jie Dai, Wen-Lian Hsu:
An Ensemble Neural Network Model for Benefiting Pregnancy Health Stats from Mining Social Media. AIRS 2018: 3-15
[c33]
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Yung-Chun Chang, Fang Yi Lee, Chun-Hung Chen:
A public opinion keyword vector for social sentiment analysis research. ICACI 2018: 752-757
2017
[j8]
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Yung-Chun Chang, Pi-Hua Chuang, Chien Chin Chen, Wen-Lian Hsu:
FISER: A Feature-Based Detection System for Person Interactions. Comput. Intell. 33(4): 656-679 (2017)
[j7]
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Yung-Chun Chang, Yu-Lun Hsieh, Cen-Chieh Chen, Wen-Lian Hsu:
A semantic frame-based intelligent agent for topic detection. Soft Comput. 21(2): 391-401 (2017)
[c32]
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Yung-Chun Chang, Chien Chin Chen, Wen-Lian Hsu:
SPIRIT: A Tree Kernel-Based Method for Topic Person Interaction Detection (Extended Abstract). ICDE 2017: 13-14
[c31]
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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, Wen-Lian Hsu:
Incorporating Dependency Trees Improve Identification of Pregnant Women on Social Media Platforms. DDDSM@IJCNLP 2017: 26-32
[c30]
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Neha Warikoo, Yung-Chun Chang, Wen-Lian Hsu:
Chemical-Induced Disease Detection Using Invariance-based Pattern Learning Model. DDDSM@IJCNLP 2017: 57-64
[c29]
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Yu-Lun Hsieh, Yung-Chun Chang, Yi-Jie Huang, Shu-Hao Yeh, Chun-Hung Chen, Wen-Lian Hsu:
MONPA: Multi-objective Named-entity and Part-of-speech Annotator for Chinese using Recurrent Neural Network. IJCNLP(2) 2017: 80-85
[c28]
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Zheng-Wen Lin, Yung-Chun Chang, Chen-Ann Wang, Yu-Lun Hsieh, Wen-Lian Hsu:
CIAL at IJCNLP-2017 Task 2: An Ensemble Valence-Arousal Analysis System for Chinese Words and Phrases. IJCNLP (Shared Tasks) 2017: 95-99
[c27]
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Yu-Lun Hsieh, Yung-Chun Chang, Nai-Wen Chang, Wen-Lian Hsu:
Identifying Protein-protein Interactions in Biomedical Literature using Recurrent Neural Networks with Long Short-Term Memory. IJCNLP(2) 2017: 240-245
[c26]
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Yung-Chun Chang, Yu-Lun Hsieh, Wen-Lian Hsu:
CIAL System at the NTCIR-13 STC-2 Task. NTCIR 2017
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Shuo-Han Chen, Yung-Chun Chang, Tseng-Yi Chen, Min-Hong Shen, Hsin-Wen Wei, Tsan-sheng Hsu, Wei-Kuan Shih:
Enabling Multi-Level Data Fault Tolerance on Software-Defined Storage System. FAS*W@SASO/ICCAC 2017: 171-174
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Shuo-Han Chen, Min-Hong Shen, Yung-Chun Chang, Tseng-Yi Chen, Tsan-sheng Hsu, Hsin-Wen Wei, Wei-Kuan Shih:
Utilizing Multi-Level Data Fault Tolerance to Converse Energy on Software-Defined Storage. SmartCloud 2017: 1-6
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Jitendra Jonnagaddala, Hong-Jie Dai, Yung-Chun Chang:
Proceedings of the International Workshop on Digital Disease Detection using Social Media, DDDSM@IJCNLP 2017, Taipei, Taiwan, November 27, 2017. Association for Computational Linguistics 2017, ISBN 978-1-948087-07-0 [contents]
2016
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Yung-Chun Chang, Chun-Han Chu, Yu-Chen Su, Chien Chin Chen, Wen-Lian Hsu:
PIPE: a protein-protein interaction passage extraction module for BioCreative challenge. Database J. Biol. Databases Curation 2016 (2016)
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Sun Kim, Rezarta Islamaj Dogan, Andrew Chatr-aryamontri, Christie S. Chang, Rose Oughtred, Jennifer M. Rust, Riza Batista-Navarro, Jacob Carter, Sophia Ananiadou, Sérgio Matos, André Santos, David Campos, José Luís Oliveira, Onkar Singh, Jitendra Jonnagaddala, Hong-Jie Dai, Emily Chia-Yu Su, Yung-Chun Chang, Yu-Chen Su, Chun-Han Chu, Chien Chin Chen, Wen-Lian Hsu, Yifan Peng, Cecilia N. Arighi, Cathy H. Wu, K. Vijay-Shanker, Ferhat Aydin, Zehra Melce Hüsünbeyi, Arzucan Özgür, Soo-Yong Shin, Dongseop Kwon, Kara Dolinski, Mike Tyers, W. John Wilbur, Donald C. Comeau:
BioCreative V BioC track overview: collaborative biocurator assistant task for BioGRID. Database J. Biol. Databases Curation 2016 (2016)
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Yung-Chun Chang, Chun-Han Chu, Chien Chin Chen, Wen-Lian Hsu:
Linguistic Template Extraction for Recognizing Reader-Emotion. Int. J. Comput. Linguistics Chin. Lang. Process. 21(1) (2016)
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Yung-Chun Chang, Chien Chin Chen, Wen-Lian Hsu:
SPIRIT: A Tree Kernel-Based Method for Topic Person Interaction Detection. IEEE Trans. Knowl. Data Eng. 28(9): 2494-2507 (2016)
[c23]
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Yu-Lun Hsieh, Yung-Chun Chang, Chun-Han Chu, Wen-Lian Hsu:
How Do I Look? Publicity Mining From Distributed Keyword Representation of Socially Infused News Articles. SocialNLP@EMNLP 2016: 74-83
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Yu-Lun Hsieh, Chen-Ann Wang, Ying-Wei Wu, Yung-Chun Chang, Wen-Lian Hsu:
IASL valence-arousal analysis system at IALP 2016 shared task: Dimensional sentiment analysis for Chinese words. IALP 2016: 297-299
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Ting-Hao Yang, Yu-Lun Hsieh, You-Shan Chung, Cheng-Wei Shih, Shih-Hung Liu, Yung-Chun Chang, Wen-Lian Hsu:
Principle-Based Approach for Semi-Automatic Construction of a Restaurant Question Answering System from Limited Datasets. IRI 2016: 520-524
[c20]
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Yung-Chun Chang, Chin-Shun Chou, Yang Zhang, Xi Wang, Wen-Lian Hsu:
Sentiment Analysis of Chinese Microblog Message using Neural Network-based Vector Representation for Measuring Regional Prejudice. PACIS 2016: 307
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Xi Wang, Zhiya Zuo, Yang Zhang, Kang Zhao, Yung-Chun Chang, Chin-Shun Chou:
Investigating Regional Prejudice in China Through the Lens of Weibo. SocInfo (2) 2016: 500-513
[c18]
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Chun-Han Chu, Chen-Ann Wang, Yung-Chun Chang, Ying-Wei Wu, Yu-Lun Hsieh, Wen-Lian Hsu:
Sentiment analysis on Chinese movie review with distributed keyword vector representation. TAAI 2016: 84-89
2015
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Hong-Jie Dai, Po-Ting Lai, Yung-Chun Chang, Richard Tzong-Han Tsai:
Enhancing of chemical compound and drug name recognition using representative tag scheme and fine-grained tokenization. J. Cheminformatics 7(S-1): S14 (2015)
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Yung-Chun Chang, Cen-Chieh Chen, Yu-Lun Hsieh, Chien Chin Chen, Wen-Lian Hsu:
Linguistic Template Extraction for Recognizing Reader-Emotion and Emotional Resonance Writing Assistance. ACL (2) 2015: 775-780
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Shih-Wen Hsu, Tseng-Yi Chen, Yung-Chun Chang, Shuo-Han Chen, Han-Chieh Chao, Tsen-Yeh Lin, Wei-Kuan Shih:
Design a Hash-Based Control Mechanism in vSwitch for Software-Defined Networking Environment. CLUSTER 2015: 498-499
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Tseng-Yi Chen, Shih-Wen Hsu, Han-Chieh Chao, Yung-Chun Chang, Heng-Yin Chen, Yu-Chun Cheng, Wei-Kuan Shih:
Inspecting the performance of packet schedulers over a large-scale OpenFlow-based network. CTS 2015: 441-445
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Yu-Lun Hsieh, Shih-Hung Liu, Yung-Chun Chang, Wen-Lian Hsu:
Neural Network-Based Vector Representation of Documents for Reader-Emotion Categorization. IRI 2015: 569-573
[c13]
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Yung-Chun Chang, Cen-Chieh Chen, Wen-Lian Hsu:
Semantic Frame-Based Approach for Reader-Emotion Detection. PACIS 2015: 162
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Yu-Lun Hsieh, Shih-Hung Liu, Yung-Chun Chang, Wen-Lian Hsu:
Distributed keyword vector representation for document categorization. TAAI 2015: 245-251
[c11]
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Chun-Han Chu, Apoorva Honnegowda Roopa, Yung-Chun Chang, Wen-Lian Hsu:
Constructing sentiment sensitive vectors for word polarity classification. TAAI 2015: 252-259
[c10]
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Shuo-Han Chen, Yung-Chun Chang, Tseng-Yi Chen, Yu-Chun Cheng, Hsin-Wen Wei, Tsan-sheng Hsu, Wei-Kuan Shih:
Prolong Lifetime of Dynamic Sensor Network by an Intelligent Wireless Charging Vehicle. VTC Fall 2015: 1-5
2014
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Yung-Chun Chang, Yu-Lun Hsieh, Cen-Chieh Chen, Wen-Lian Hsu:
Semantic Frame-Based Natural Language Understanding for Intelligent Topic Detection Agent. IEA/AIE (1) 2014: 339-348
[c8]
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Yung-Chun Chang, Yu-Lun Hsieh, Cen-Chieh Chen, Chad Liu, Chun-Hung Lu, Wen-Lian Hsu:
Semantic Frame-based Statistical Approach for Topic Detection. PACLIC 2014: 75-84
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Yung-Chun Chang, Yu-Chen Su, Nai-Wen Chang, Wen-Lian Hsu:
An Interaction Pattern Kernel Approach for Protein-Protein Interaction Extraction from Biomedical Literature. TAAI 2014: 36-46
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Chih-Wei Chen, Nai-Wen Chang, Yung-Chun Chang, Hong-Jie Dai:
Section Heading Recognition in Electronic Health Records Using Conditional Random Fields. TAAI 2014: 47-55
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Yu-Lun Hsieh, Shih-Hung Liu, Ting-Hao Yang, Yu-Hsuan Chen, Yung-Chun Chang, Gladys Hsieh, Cheng-Wei Shih, Chun-Hung Lu, Wen-Lian Hsu:
A Frame-Based Approach for Reference Metadata Extraction. TAAI 2014: 154-163
2013
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Yung-Chun Chang, Hong-Jie Dai, Johnny Chi-Yang Wu, Jian-Ming Chen, Richard Tzong-Han Tsai, Wen-Lian Hsu:
TEMPTING system: A hybrid method of rule and machine learning for temporal relation extraction in patient discharge summaries. J. Biomed. Informatics 46(6): S54-S62 (2013)
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Yung-Chun Chang, Chien Chin Chen, Wen-Lian Hsu:
A Composite Kernel Approach for Detecting Interactive Segments in Chinese Topic Documents. AIRS 2013: 215-226
2012
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Yung-Chun Chang, Pi-Hua Chuang, Chien Chin Chen, Wen-Lian Hsu:
FISER: An Effective Method for Detecting Interactions between Topic Persons. AIRS 2012: 275-285
2011
[c2]
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Mike Tian-Jian Jiang, Cheng-Wei Lee, Chad Liu, Yung-Chun Chang, Wen-Lian Hsu:
Robustness Analysis of Adaptive Chinese Input Methods. WTIM@IJCNLP 2011: 53-61

2000 – 2009

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2009
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Yung-Chun Chang, Pei-Ching Yang, Jung-Hsien Chiang:
Ontology-Based Intelligent Web Mining Agent for Taiwan Travel. Web Intelligence/IAT Workshops 2009: 421-424

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