An-Zi Yen 顏安孜

Assistant Professor, Dept. of Computer Science, National Yang Ming Chiao Tung University

Dr. An-Zi Yen is an Assistant Professor in the Department of Computer Science at National Yang Ming Chiao Tung University. Her research interests include natural language processing and information retrieval. Her work has been published in AAAI, EMNLP, WWW, SIGIR, and so on. Dr. Yen's awards and honors include the Honorable Mention of Doctoral Dissertation Award of ACLCLP in 2020 and the distinguished PC member in IJCAI 2023. She served as the web chair of SIGIR 2023, and as PC members of representative conferences including AAAI, IJCAI, CIKM, and EACL.

Welcome to NYCU NLP Lab

    Our major research lies in Natural Language Processing (NLP) and Information Retrieval (IR). We aim to improve and adapt natural language understanding and generation techniques in various applications. Ongoing research topics include:
  • Question Generation and Answering
    • Knowledge Base Question Answering
    • Multimodal Question Answering
    • NLP for Education
  • NLP for Social Good
    • Social Media Analysis
    • NLP on the Web
    • Natural Legal Language Processing
  • Human-Centred Artificial Intelligence
    • Human Preference and Expectation Prediction
    • Personalized Large Language Models

Recent Projects

IJCAI 2024 E-QGen

Educational Lecture Abstract-based Question Generation [video]

SIGIR 2024 ConvLogRecaller

Real-Time Conversational Information Recall [video]

(Collaboration with NTU NLP Lab)

COLING 2024 MAGIC

Domain Generalization in Automatic Fact-Checking [video]

WWW 2024 RefuteClaim

Automatic Fact-Checking through Flaw Identification and Explanation [video]

EMNLP 2023 MathEDU

LLMs and the Future of Mathematics Education [video]

Publications

    Journal Papers:

  1. An-Zi Yen, Min-Huan Fu, Wei-Hong Ang, Tai-Te Chu, Ssu-Hao Tsai, Hen-Hsen Huang and Hsin-Hsi Chen (2023). “Visual Lifelog Retrieval: Humans and Machines Interpretation on First-Person Images.” Multimedia Tools and Applications. (Link)
  2. An-Zi Yen, Hen-Hsen Huang and Hsin-Hsi Chen (2019). “Multimodal joint learning for personal knowledge base construction from Twitter-based lifelogs.” Information Processing & Management. (Link)
  3. An-Zi Yen, Hen-Hsen Huang and Hsin-Hsi Chen (2019). “Learning English-Chinese Bilingual Word Representations from Sentence-Aligned Parallel Corpus.” Computer Speech and Language, 56:52-72. (Link)

    Conference Papers:

  1. Yu-Fei Shih, An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen (2024). “Visual Lifelog Retrieval through Captioning-Enhanced Interpretation” In Proceedings of the 2024 IEEE International Conference on Big Data (IEEE BigData 2024), December 15-18, Washington DC, USA. (Short Paper, Acceptance rate = 19.7% = 130/660).
  2. Mao-Siang Chen and An-Zi Yen. (2024). E-QGen: Educational Lecture Abstract-based Question Generation System. In Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), Demonstration Track, Jeju, South Korea. (Demo Paper, acceptance rate: 60/116=51.7%)
  3. Yuan-Chi Lee, An-Zi Yen, Hen-Hsen Huang and Hsin-Hsi Chen (2024). “ConvLogRecaller: Real-Time Conversational Lifelog Recaller.” In Proceedings of 47nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), July 14-18, 2024, Washington D.C., USA. (Demo Paper, acceptance rate: 23/47=49%).
  4. Wei-Yu Kao and An-Zi Yen (2024). “How We Refute Claims: Automatic Fact-Checking through Flaw Identification and Explanation.” In Proceedings of the Web Conference 2024 (WWW 2024), Singapore, May 13-17, 2024. (Short Paper)
  5. Wei-Yu Kao and An-Zi Yen (2024). “MAGIC: Multi-Argument Generation with Self-Refinement for Domain Generalization in Automatic Fact-Checking.” In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), May 20-25, Torino, Italy. (Long Paper)
  6. An-Zi Yen and Wei-Ling Hsu (2023). “Three Questions Concerning the Use of Large Language Models to Facilitate Mathematics Learning.” In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), December 6-10, Singapore. (Finding Paper)
  7. Yu-Chien Tang, Wei-Yao Wang, An-Zi Yen, and Wen-Chih Peng (2023). “RSVP: Customer Intent Detection via Agent Response Contrastive and Generative Pre-Training.” In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), December 6-10, Singapore. (Finding Paper)
  8. Wei-Lin Chen, An-Zi Yen, Cheng-Kuang Wu, Hen-Hsen Huang, and Hsin-Hsi Chen (2023). “ZARA: Improving Few-Shot Self-Rationalization for Small Language Models.” In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), December 6-10, Singapore. (Finding Paper)
  9. Keat Teng Swai, An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen (2023). “Multi-Perspective Sentiment Analysis on Life Events with Sentiment Cause Identification.” In Proceedings of the IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2023), October 26-29, Venice, Italy. (Acceptance rate: 27.92%)
  10. Hong-Jin Tsai, An-Zi Yen, Hen-Hsen Huang, and Hsin-Hsi Chen (2023). “Citation Intent Classification and Its Supporting Evidence Extraction for Citation Graph Construction.” In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), October 21-25, Birmingham, UK. (Full paper, acceptance rate: 24%=354/1472)
  11. Meng-Huan Liu, An-Zi Yen, Hen-Hsen Huang, and Hsin-Hsi Chen (2023). “ContributionSum: Generating Disentangled Contributions for Scientific Papers.” In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), October 21-25, Birmingham, UK. (Resource paper, acceptance rate: 27%=22/81)
  12. Yi-Pei Chen, An-Zi Yen, Hen-Hsen Huang, Hideki Nakayama and Hsin-Hsi Chen (2023). "LED: A Dataset for Life Event Extraction from Dialogs." In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), May 2-6, Dubrovnik, Croatia. (Finding Paper)
  13. You-En Lin, An-Zi Yen, Hen-Hsen Huang and Hsin-Hsi Chen (2022). “SEEN: Structured Event Enhancement Network for Explainable Need Detection of Information Recall Assistance.” In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), December 7-11, Abu Dhabi, the United Arab Emirates.
  14. Wei-Lin Chen, An-Zi Yen, Hen-Hsen Huang and Hsin-Hsi Chen (2022). "Learning to Generate Explanation from e-Hospital Services for Medical Suggestion." In Proceedings of the 29th International Conference on Computational Linguistics (COLING 2022), October 12-17, Gyeongju, Republic of Korea.
  15. An-Zi Yen, Hen-Hsen Huang and Hsin-Hsi Chen (2022). “Unanswerable Question Correction and Explanation over Personal Knowledge Base.” In Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), October 17-21, Hybrid Conference, Hosted in Atlanta, Georgia, USA.
  16. Po-Cheng Wu, An-Zi Yen, Hen-Hsen Huang and Hsin-Hsi Chen (2022). "Incorporating Peer Reviews and Rebuttal Counter-Arguments for Meta-Review Generation." In Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), October 17-21, Hybrid Conference, Hosted in Atlanta, Georgia, USA.
  17. Fa-Hsuan Hsiao, An-Zi Yen, Hen-Hsen Huang and Hsin-Hsi Chen (2022). “Modeling Inter Round Attack of Online Debaters for Winner Prediction.” In Proceedings of the Web Conference 2022 (WWW 2022), April 25-29, 2022. (full paper, acceptance rate=17.7%=323/1822)
  18. Pei-Wei Kao, An-Zi Yen, Hen-Hsen Huang, and Hsin-Hsi Chen. (2021). “ConvLog-Miner: A Real-Time Conversational Lifelog Miner.” In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI 2021), pages 4992-4995, Demonstration Track, Montreal, Canada.
  19. An-Zi Yen, Hen-Hsen Huang, and Hsin-Hsi Chen (2021). “Unanswerable Question Correction in Question Answering over Personal Knowledge Base.” In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), February 2-9, 2021. (full paper, acceptance rate: 21%=1692/7911)
  20. An-Zi Yen, Hen-Hsen Huang, and Hsin-Hsi Chen (2021). “Ten Questions in Lifelog Mining and Information Recall.” In Proceedings of ACM International Conference on Multimedia Retrieval 2021 (ICMR 2021), August 21-24, 2021, Taipei, Taiwan.
  21. Min-Huan Fu, An-Zi Yen, Hen-Hsen Huang and Hsin-Hsi Chen (2020). “Incorporating Semantic Knowledge for Visual Lifelog Activity Recognition.” In Proceedings of ACM International Conference on Multimedia Retrieval 2020 (ICMR 2020), June 8-11, Dublin, Ireland.
  22. An-Zi Yen, Hen-Hsen Huang and Hsin-Hsi Chen (2019). “Personal Knowledge Base Construction from Text-based Lifelogs.” In Proceedings of 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019), July 21-25, 2019, Paris, France. (full paper, acceptance rate: 84/426).
  23. Tsung-Han Yang, Hen-Hsen Huang, An-Zi Yen and Hsin-Hsi Chen (2018). “Transfer of Frames from English FrameNet to Construct Chinese FrameNet: A Bilingual Corpus-Based Approach.” In Proceedings of 11th Edition of the Language Resources and Evaluation Conference (LREC 2018), May 7-12, 2018, Miyazaki, Japan, 868-872.
  24. An-Zi Yen, Hen-Hsen Huang and Hsin-Hsi Chen (2018). “Detecting Personal Life Events fom Twitter by Multi-Task LSTM.” In Proceedings of the Web Conference 2018 (WWW 2018), poster, April 23-27, 2018, Lyon, France.
  25. Hen-Hsen Huang, An-Zi Yen and Hsin-Hsi Chen (2017). “MKDS: A Medical Knowledge Discovery System Learned from Electronic Medical Records (Demonstration).” In Proceedings of 13th Asia Information Retrieval Societies Conference (AIRS 2017), November 22-24, 2017, Jeju island, Korea.
  26. An-Zi Yen, Hen-Hsen Huang, and Hsin-Hsi Chen (2017). “Fusing Domain-Specific Data with General Data for In-Domain Applications.” In Proceedings of 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2017), August 23-26, 2017, Leipzig, Germany, 566-572.

    Other Publication:

  1. An-Zi Yen, Cheng-Kuang Wu and Hsin-Hsi Chen (2023). "Opportunities and challenges of explainable artificial intelligence in medicine: toward causability for physicians, developers, and patients." Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases, 281-307.

Honors

  • The distinguished PC member in IJCAI 2023
  • 2021 MOST Postdoctoral Researcher Academic Research Award
  • Honorable Mention, Doctoral Dissertation Award of ACLCLP, 2020
  • Honorary Membership, The Phi Tau Phi Scholastic Honor Society, 2020

Contact Information

Working Experience

  • Postdoc Researcher, NLP Lab, National Taiwan University
  • Adjunct Assistant Professor, Dept. of Quantitative Finance, National Tsing Hua University

Education

  • Ph.D. in Computer Science and Information Engineering, National Taiwan University
  • M.S. in Computer Science and Information Engineering, National Taiwan Normal University
  • B.S. in Software Engineering, National Kaohsiung Normal University