We are Miulab.

Machince Intelligence & Understanding Laboratory
National Taiwan University


What We Do

Our research focus is the intersection between following areas.

Important!! If you are interested in joining MiuLab, please 1) visit R524 to discuss with current students, 2) check our recent publications for details, and 3) include [MS/PhD/RA Candidate] in your email.

Deep Learning

Apply and improve the state-of-the-art deep learning models for diverse tasks.

Conversational AI

Advance dialogue systems for achieving better conversational AI.

Natural Language Processing

Improve and resolve the current language-related tasks.

What We Have Done

    2020

  1. RAP-Net: Recurrent Attention Pooling Networks for Dialogue Response Selection
    Chao-Wei Huang, Ting-Rui Chiang, Shang-Yu Su, Yun-Nung Chen
    In Computer Speech & Language (2020)
    [doi]
  2. Learning Multi-Level Information for Dialogue Response Selection by Highway Recurrent Transformer
    Ting-Rui Chiang, Chao-Wei Huang, Shang-Yu Su, Yun-Nung Chen
    In Computer Speech & Language (2020)
    [doi] [paper]
  3. Knowledge-Grounded Response Generation with Deep Attentional Latent-Variable Model
    Hao-Tong Ye, Kai-Ling Lo, Shang-Yu Su, Yun-Nung Chen
    In Computer Speech & Language (2020)
    [doi]
  4. An Empirical Study of Content Understanding in Conversational Question Answering (acceptance rate: 20.6%)
    Ting-Rui Chiang, Hao-Tong Ye, Yun-Nung Chen
    In the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020)
    [arXiv]
  5. 2019

  6. Adapting Pretrained Transformer to Lattices for Spoken Language Understanding
    Chao-Wei Huang, Yun-Nung Chen
    In 2019 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU 2019)
  7. Dialogue Environments are Different from Games: Investigating Variants of Deep Q-Networks for Dialogue Policy
    Yu-An Wang, Yun-Nung Chen
    In 2019 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU 2019)
  8. QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization (oral paper acceptance rate: 4.5%)
    Yi-Ting Yeh, Yun-Nung Chen
    The 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019)
    [paper] [code]
  9. What Does This Word Mean? Explaining Contextualized Embeddings with Natural Language Definition (acceptance rate: 20.5%)
    Ting-Yun Chang, Yun-Nung Chen
    In The 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019)
    [paper] [code] [demo]
  10. DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs (acceptance rate: 23.8%) (Best Paper Award at SoCalNLP 2019)
    Yi-Lin Tuan, Yun-Nung Chen, Hung-Yi Lee
    In The 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019)
    [arXiv] [code]
  11. Tree Transformer: Integrating Tree Structures into Self-Attention (acceptance rate: 23.8%)
    Yau-shian Wang, Hung-Yi Lee, Yun-Nung Chen
    In The 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019)
    [paper]
  12. FlowDelta: Modeling Flow Information Gain in Reasoning for Conversational Machine Comprehension
    Yi-Ting Yeh, Yun-Nung Chen
    In Machine Reading for Question Answering Workshop at EMNLP (MRQA 2019)
  13. Towards Understanding of Medical Randomized Controlled Trails by Conclusion Generation
    Te-Wei Shieh, Yung-Sung Chuang, Shang-Yu Su, Yun-Nung Chen
    In the 10th International Workshop on Health Text Mining and Information Analysis at EMNLP (LOUHI 2019)
  14. Leveraging Hierarchical Category Knowledge for Data-Imbalanced Multi-Label Diagnostic Text Understanding
    Shang-Chi Tsai, Ting-Yun Chang, Yun-Nung Chen
    In the 10th International Workshop on Health Text Mining and Information Analysis at EMNLP (LOUHI 2019)
  15. Dual Supervised Learning for Natual Language Understanding and Generation (short paper acceptance rate: 18.2%)
    Shang-Yu Su, Chao-Wei Huang, Yun-Nung Chen
    In The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019)
    [paper] [arXiv] [bib]
  16. Semantically-Aligned Equation Generation for Solving and Reasoning Math Word Problems (oral paper acceptance rate: 12.2%)
    Ting-Rui Chiang, Yun-Nung Chen
    In 2019 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT 2019)
    [paper] [arXiv] [bib]
  17. Learning Context-Sensitive Time-Decay Attention for Role-Based Dialogue Modeling
    Shang-Yu Su, Pei-Chieh Yuan, Yun-Nung Chen
    In The 44th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019)
    [paper] [arXiv]
  18. Modeling Melodic Feature Dependency with Modularized Variational Auto-Encoder
    Yu-An Wang, Yu-Kai Huang, Tzu-Chuan Lin, Shang-Yu Su, Yun-Nung Chen
    In The 44th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019)
    [paper] [arXiv] [slide] [code] [demo] [oral]
  19. Compound Variational Auto-Encoder
    Shang-Yu Su, Shan-Wei Lin, Yun-Nung Chen
    In The 44th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019)
    [arXiv]
  20. Mitigating the Impact of Speech Recognition Errors on Spoken Question Answering by Adversarial Domain Adaptation
    Chia-Hsuan Lee, Yun-Nung Chen, Hung-Yi Lee
    In The 44th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019)
    [arXiv]
  21. 2018

  22. BCWS: Bilingual Contextual Word Similarity
    Ta-Chung Chi, Ching-Yen Shih, Yun-Nung Chen
    arXiv preprint arXiv:1810.08951
    [arXiv]
  23. xSense: Learning Sense-Separated Sparse Representations and Textual Definitions for Explainable Word Sense Networks
    Ting-Yun Chang, Ta-Chung Chi, Shang-Chi Tsai, Yun-Nung Chen
    arXiv preprint arXiv:1809.03348
    [arXiv]
  24. Abstractive Dialogue Summarization with Sentence-Gated Modeling Optimized by Dialogue Acts
    Chih-Wen Goo, Yun-Nung Chen
    In 7th IEEE Workshop on Spoken Language Technology (SLT 2018)
    [paper] [arXiv] [code]
  25. Investigating Linguistic Pattern Ordering in Hierarchical Natural Language Generation
    Shang-Yu Su, Yun-Nung Chen
    In 7th IEEE Workshop on Spoken Language Technology (SLT 2018)
    [paper] [code]
  26. CLUSE: Cross-Lingual Unsupervised Sense Embeddings (acceptance rate: 24.6%)
    Ta-Chung Chi, Yun-Nung Chen
    In the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018)
    [paper] [code]
  27. Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning (acceptance rate: 24.6%)
    Shang-Yu Su, Xiujun Li, Jianfeng Gao, Jingjing Liu, Yun-Nung Chen
    In the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018)
    [paper] [code]
  28. How Time Matters: Learning Time-Decay Attention for Contextual Spoken Language Understanding in Dialogues (acceptance rate: 29%) Shang-Yu Su, Pei-Chieh Yuan, Yun-Nung Chen
    In 2018 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT 2018)
    [paper] [acl] [code]
  29. Natural Language Generation by Hierarchical Decoding with Linguistic Patterns (acceptance rate: 29%)
    Shang-Yu Su, Kai-Ling Lo, Yi-Ting Yeh, Yun-Nung Chen
    In 2018 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT 2018)
    [paper] [acl] [code]
  30. Slot-Gated Modeling for Joint Slot Filling and Intent Prediction (acceptance rate: 29%)
    Chih-Wen Goo, Guang Gao, Yun-Kai Hsu, Chih-Li Huo, Tsung-Chieh Chen, Keng-Wei Hsu, Yun-Nung Chen
    In 2018 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT 2018)
    [paper] [acl] [code]
  31. 2017

  32. Dynamic Time-Aware Attention to Speaker Roles and Contexts for Spoken Language Understanding
    Po-Chun Chen, Ta-Chung Chi, Shang-Yu Su, Yun-Nung Chen
    In 2017 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU 2017)
    [paper] [poster] [arXiv] [doi] [code] [bib]
  33. Speaker Role Contextual Modeling for Language Understanding and Dialogue Policy Learning
    Ta-Chung Chi, Po-Chun Chen, Shang-Yu Su, Yun-Nung Chen
    In The 8th International Joint Conference on Natural Language Processing (IJCNLP 2017)
    [paper] [poster] [acl] [arXiv] [code] [bib]
  34. MUSE: Modularizing Unsupervised Sense Embeddings (acceptance rate: 22%)
    Guang-He Lee, Yun-Nung Chen
    In the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 2017)
    [paper] [acl] [code] [poster] [bib]
  35. Order-Preserving Abstractive Summarization for Spoken Content Based on Connectionist Temporal Classification
    Bo Ru Lu, Frank Shyu, Yun-Nung Chen, Hung-Yi Lee, Lin-Shan Lee
    In The 18th Annual Meeting of the International Speech Communication Association (INTERSPEECH 2017)
    [paper] [isca] [doi]

Who We Are

PhD Students

  • Shang-Chi (Mike) Tsai (Intern@Fubon Bank'19; ASUS AICS PhD Fellowship)
  • Shang-Yu Su (Intern@MSR'18; Intern@Amazon'19)

Master Students

  • Ting-Yun Chang (Intern@Amazon'20)
  • Ting-Rui Chiang (Intern@Taiwan AI Labs'18)
  • Yi-Hsuan Deng (Intern@Verizon Media USA'19)
  • Chao-Wei Huang (Intern@Taiwan AI Labs'17-; Intern@Amazon'20)
  • Yu-An (Andy) Wang (Intern@Taiwan AI Labs'19)
  • Tze-Teng Wong
  • Hao-Tong (Allen) Ye (Intern@Taiwan AI Labs'18; Intern@Uber'19)

Co-Advised Members

Alumni

  • Ta-Chung (James) Chi (MS'19 → Intern@Amazon'19 → CMU)
  • Chih-Wen Goo (MS'18 → Software Engineer@MediaTek)
  • Guang-He Lee (MS'17 → PhD@MIT CSAIL)
  • Jian-Jia Su (MS'19 → Software Engineer@Google)
  • Yi-Ting Yeh (Intern@Taiwan AI Labs'17; Intern@Oath'18; MS'20 → TBA)

Contact Us

Get in touch and let's make something great together.

miulab@csie.ntu.edu.tw +886 (02) 3366-4888 # 524

Where To Find Us

National Taiwan University
Taipei, Taiwan
106 TW

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