An-Zi Yen 顏安孜

Postdoc Researcher, Dept. of Computer Science and Information Engineering, National Taiwan University
Adjunct Assistant Professor, Dept. of Quantitative Finance, National Tsing Hua University

Dr. An-Zi Yen is a Post-Doctoral Fellow in the Department of Computer Science and Information Engineering at the National Taiwan University. Her research interests include natural language processing and information retrieval. Her work has been published in AAAI, SIGIR, WWW, WI, and so on. Dr. Yen's award and honors include the Honorable Mention of Doctoral Dissertation Award of ACLCLP in 2020 and the Honorary Membership of The Phi Tau Phi Scholastic Honor Society in 2020.

Publications

    Journal Papers:

  1. 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)
  2. 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. 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)
  2. 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.
  3. (PDF)
  4. 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). (PDF)
  5. 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. (PDF)
  6. 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. (PDF)
  7. 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. (PDF)
  8. 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. (PDF)

    Other Publication:

  1. An-Zi Yen, Hen-Hsen Huang and Hsin-Hsi Chen (2020). “Ten Questions in Lifelog Mining and Information Recall.” CoRR abs/2005.01535.

Course

  • Introduction to Information Engineering, Dept. of Quantitative Finance, National Tsing Hua University
    • 2020 Fall Semester

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

Working Experience

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

Honors

  • Honorable Mention, Doctoral Dissertation Award of ACLCLP, 2020
    中華民國計算語言學會博士論文獎佳作
  • Honorary Membership, The Phi Tau Phi Scholastic Honor Society, 2020
    斐陶斐榮譽學會會員

Contact Information