This picture showsThang Vu

Prof. Dr.

Thang Vu

Chair of Digital Phonetics, Endowed Chair of Carl-Zeiss-Stiftung
Institute for Natural Language Processing (IMS)
Digital Phonetics

Contact

+49 711 685-81372
+49 711 685-81366

Pfaffenwaldring 5 b
70569 Stuttgart
Deutschland
Room: 02.010

Office Hours

Thursdays 10 - 11 a.m.

2020

  1. D. Grießhaber, J. Maucher and N.T. Vu. "Fine-tuning BERT for Low-Resource Natural Language Understanding via Active Learning". In Proceedings of COLING, 2020.
  2. H. Schuff, H. Adel and N.T. Vu. "F1 is not enough! Models and Evaluation Towards User-Centered Explainable Question Answering". In Proceedings of EMNLP, 2020.
  3. E. Sood, S. Tannert, D. Frassinelli, A. Bulling, N.T. Vu. "Interpreting Attention Models with Human Visual Attention in Machine Reading Comprehension". In Proceedings of the SIGNLL Conference on Computational Natural Language Learning (CoNLL), 2020.
  4. C. Oguz and N.T. Vu. "A Two-stage Model for Slot Filling in Low-resource Settings: Domain-agnostic Non-slot Reduction and Pretrained Contextual Embeddings". In Proceedings of the First Workshop on Simple and Efficient Natural Language Processing (SustaiNLP) @EMNLP, 2020. 
  5. P. Denisov and N.T. Vu. "Pretrained Semantic Speech Embeddings for End-to-End Spoken Language Understanding via Cross-Modal Teacher-Student Learning". In Proceedings of Interspeech, 2020.
  6. C.Y. Li and N.T. Vu. "Improving Code-switching Language Modeling with Artificially Generated Texts using Cycle-consistent Adversarial Networks". In Proceedings of Interspeech, 2020.
  7. A.E. Bolock, I. Khairy, Y. Abdelrahman, N.T Vu, C. Herbert, S. Abdennadher. "Who, When and Why: The 3 Ws of Code-switching". In Proceedings of the International Conference on Practical Applications of Agents and Multi-Agent Systems, 2020.
  8. X. Yu, N.T. Vu and J. Kuhn. "Ensemble Self-Training for Low-Resource Languages: Grapheme-to-Phoneme Conversion and Morphological Inflection". In Proceedings of the 17th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, 2020.
  9. C.Y. Li, D. Ortega, D. Väth, F. Lux, L. Vanderlyn, M. Schmidt, M. Neumann, M. Völkel, P. Denisov, S. Jenne, Z. Kacarevic and N.T. Vu. "ADVISER: A Toolkit for Developing Multimodal, Multi-domain and Socially-engaged Conversational Agents". In Proceedings of ACL - Systems Demonstration, 2020.
  10. X. Yu, S. Tannert, N.T. Vu and J. Kuhn. "Fast and Accurate Non-Projective Dependency Tree Linearization". In Proceedings of ACL, 2020.
  11. F. Heynen, T. Munz, M. Neumann, D. Ortega, N.T. Vu, D. Weiskopf, M. Sedlmair. "ClaVis: An Interactive Visual Comparison System for Classifiers". In Proceedings of the International Conference in Advanced Visual Interfaces (AVI), 2020.
  12. D. Ortega, C.Y. Li and N.T. Vu. "Oh, Jeez! Or Uh-huh" A Listener-Aware Backchannel Predictor on ASR Transcriptions". In Proceedings of the 45th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020.
  13. I. Hamed, N.T. Vu and S. Abdennadher. "ArzEn: A Speech Corpus for Code-switched Egyptian Arabic-English". In Proceedings of LREC, 2020.
  14. M. Balabel, I. Hamed, S. Abdennadher, N.T. Vu and Ö. Çetinoğlu. "Cairo Student Code-Switch (CSCS) Corpus: An Annotated Egyptian Arabic-English Corpus". In Proceedings of LREC, 2020.
  15. D. Grießhaber, N.T. Vu and J. Maucher. "Low-Resource Text Classification using Domain-Adversarial Learning". In Computer Speech & Language, 2020.

2019

  1. X. Yu, A. Faleńska, N.T. Vu, and J. Kuhn. "IMSurReal: IMS at the Surface Realization Shared Task 2019". In Proceedings of the Second Workshop on Multilingual Surface Realization @EMNLP 2019.
  2. C.Y. Li and N.T. Vu, "Integrating Knowledge in End-to-End Automatic Speech Recognition for Mandarin-English Code-Switching". In Proceedings of the 2019 International Conference on Asian Language Processing (IALP), 2019.
  3. X. Yu, A. Faleńska, N.T. Vu, and J. Kuhn. "Head-First Linearization with Tree-Structured Representation". In Proceedings of the 12th International Conference on Natural Language Generation (INLG), 2019. [Runner-up for Best Paper]
  4. D. Väth and N.T.Vu. "To Combine or Not To Combine? A Rainbow Deep Reinforcement Learning Agent for Dialog Policies". In Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue (SIGDIAL), 2019.
  5. F. Bao, M. Neumann and N.T. Vu. "CycleGAN-based Emotion Style Transfer as Data Augmentation for Speech Emotion Recognition". In Proceedings of Interspeech, 2019. [ISCA Best Student Paper Award Finalist]
  6. P. Denisov and N.T. Vu. "End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning". In Proceedings of Interspeech, 2019.
  7. S. Jenne and N.T. Vu. "Multimodal Articulation-Based Pronunciation Error Detection with Spectrogram and Acoustic Features". In Proceedings of Interspeech, 2019.
  8. K. Angerbauer, H. Adel and N.T. Vu. "Automatic Compression of Subtitles with Neural Networks and its Effect on User Experience". In Proceedings of Interspeech, 2019.
  9. D. Ortega, D. Väth, G. Weber, L. Vanderlyn, M. Schmidt, M. Völkel, Z. Karacevic and N.T. Vu. "ADVISER: A Dialog System Framework for Education & Research". In Proceedings of ACL - Systems Demonstration, 2019.
  10. X. Yu, N.T. Vu and J. Kuhn. "Learning the Dyck Language with Attention-based Seq2Seq Models". In Proceedings of the BlackboxNLP Workshop @ ACL, 2019. 
  11. I. Hamed, M. Zhu, M. Elmahdy, S. Abdennadher and N.T. Vu. "Code-switching Language Modeling With Bilingual Word Embeddings:  A Case Study for Egyptian Arabic-English". In Proceedings of the 21st International Conference on Speech and Computer (SPECOM), 2019.
  12. S. Jenne, A. Schweitzer, S. Zerbian, N.T. Vu. "Phonological Error Detection for Pronunciation Training Using Neural Spectrogram Recognition". In Proceedings of International Congress of Phonetic Sciences (ICPhS), 2019.
  13. D. Ortega, C.Y Li, G. Vallejo, P. Denisov, N.T. Vu. "Context-aware Neural-based Dialog Act Classification On Automatically Generated Transcriptions". In Proceedings of the 44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019.
  14. M. Neumann, N.T. Vu. "Improving Speech Emotion Recognition With Unsupervised Representation Learning On Unlabeled Speech". In Proceedings of the 44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019.
  15. P. Denisov and N.T. Vu. "IMS-Speech: A Speech to Text Tool". In Proceedings of the 30th Conference on Electronic Speech Signal Processing (ESSV), 2019.
  16. C.Y Li and N.T. Vu. "Investigation of Densely Connected Convolutional Networks with Domain Adversarial Learning for Noise Robust Speech Recognition". In Proceedings of the 30th Conference on Electronic Speech Signal Processing (ESSV), 2019.
  17. S. Stehwien, A. Schweitzer and N.T. Vu. "Convolutional Neural Networks Can Learn Duration for Detecting Pitch Accents and Lexical Stress". In Proceedings of the 30th Conference on Electronic Speech Signal Processing (ESSV), 2019.

2018

  1. G. Jagfeld, S. Jenne and N.T. Vu. "Sequence-to-Sequence Models for Data-to-Text Natural Language Generation: Word- vs. Character-based Processing and Output Diversity". In Proceedings of the 11th International Conference on Natural Language Generation (INLG), 2018.
  2. M. Blohm, G. Jagfeld, E. Sood, X. Yu and N.T. Vu. "Comparing Attention-based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension". In Proceedings of the SIGNLL Conference on Computational Natural Language Learning (CoNLL), 2018.
  3. X. Yu, N.T. Vu, J. Kuhn. "Approximate Dynamic Oracle for Dependency Parsing with Reinforcement Learning". In Proceedings of the Second Workshop on Universal Dependencies @EMNLP, 2018.
  4. C.Y Li and N.T. Vu. "Densely Connected Convolutional Networks for Speech Recognition". In Proceedings of the 13th ITG Conference on Speech Communication, 2018.
  5. P. Denisov, N.T. Vu and M. Ferras. "Unsupervised Domain Adaptation by Adversarial Learning for Robust Speech Recognition". In Proceedings of the 13th ITG Conference on Speech Communication, 2018.
  6. D. Grießhaber, N.T. Vu and J. Maucher. "Low-Resource Text Classification using Domain-Adversarial Learning". In Proceedings of the 6th International Conference on Statistical Language and Speech Processing, 2018.
  7. S. Papay, S. Padó and N.T. Vu. "Addressing Low-Resource Scenarios with Character-aware Embeddings". In Proceedings of the Second Workshop on Subword and Character Level Models@ NAACL-HLT, 2018. 
  8. S. Stehwien, N.T. Vu, A. Schweitzer. "Effects of Word Embeddings on Neural Network-based Pitch Accent Detection". In Proceedings of the 9th Speech Prosody Conference, 2018.
  9. K.A. Nguyen, S. Schulte im Walde, N.T. Vu. "Introducing Two Vietnamese Datasets for Evaluating Semantic Models of (Dis-)Similarity and Relatedness". In Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), 2018.
  10. M. Wand, N.T. Vu, J. Schmidhuber. "Investigations on End-to-end Audiovisual Fusion". In Proceedings of the 43rd EEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018.
  11. M. Neumann, N.T. Vu. "Cross-lingual and Multilingual Speech Emotion Recognition on English and French". In Proceedings of the 43rd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018.
  12. D. Ortega, N.T.Vu. "Lexico-acoustic Neural-based Models for Dialog Act Classification". In Proceedings of the 43rd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018.

2017

  1. G. Jagfeld, N.T.Vu. "Encoding Word Confusion Networks with Recurrent Neural Networks for Dialog State Tracking". In Proceedings of the Speech-Centric Natural Language Processing Workshop @EMNLP, 2017.
  2. M. Stiefel, N.T. Vu. "Enriching ASR Lattices with POS Tags for Dependency Parsing". In Proceedings of the Speech-Centric Natural Language Processing Workshop @EMNLP, 2017.
  3. I. Roesiger, S. Stehwien, A. Riester, N.T. Vu. "Improving coreference resolution with automatically predicted prosodic information". In Proceedings of the Speech-Centric Natural Language Processing Workshop @EMNLP, 2017.
  4. X. Yu, A. Faleńska, N.T. Vu. "A General-Purpose Tagger with Convolutional Neural Networks". In Proceedings of the Subword and Character Level Models in NLP Workshop @EMNLP, 2017.
  5. K.A. Nguyen, M. Köper, S. Schulte im Walder, N.T. Vu. "Hierarchical Embeddings for Hypernymy Detection and Directionality". In Proceedings of EMNLP, 2017.
  6. D. Ortega, N.T. Vu. "Neural-based Context Representation Learning for Dialog Act Classification". In Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue (SIGDIAL), 2017.
  7. M. Neumann, N.T.Vu. "Attentive Convolutional Neural Network based Speech Emotion Recognition: A Study on the Impact of Input Features, Signal Length, and Acted Speech". In Proceedings of Interspeech, 2017.
  8. S. Stehwien, N.T.Vu "Prosodic Event Recognition using Convolutional Neural Networks with Context Information". In Proceedings of Interspeech, 2017.
  9. X. Yu, N.T.Vu. "Character Composition Model with Convolutional Neural Networks for Dependency Parsing on Morphologically Rich Languages". In Proceedings of ACL, 2017.
  10. N.T. Vu. "Linguistics Meets Deep Learning: A Breakthrough Solution in Spoken Language Understanding?". Digital Phonetics Colloquium, Stuttgart, 2017.
  11. K.A. Nguyen, S. Schulte im Walde, N.T. Vu. "Distinguishing Antonyms and Synonyms in a Pattern-based Neural Network". In Proceedings of EACL, 2017.
  12. S. Stehwien, N.T. Vu. "First Step Towards Enhancing Word Embeddings with Pitch Accent Features for DNN-based Slot Filling on Recognized Text". In Proceedings of ESSV, 2017.

2016

  1. K.A. Nguyen, S. Schulte im Walde, N.T. Vu. "Neural-based Noise Filtering from Word Embeddings". In Proceedings of COLING, 2016.
  2. Ö. Çetinoğlu, S. Schulz and N.T. Vu, "Challenges of Computational Processing of Code-Switching". In Proceedings of 2nd Workshop on Computational Approaches to Linguistic Code Switching @EMNLP, 2016.
  3. N.T. Vu, "Sequential Convolutional Neural Networks for Slot Filling in Spoken Language Understanding".  In Proceedings of Interspeech, 2016.
  4. S. Stehwien, N.T. Vu, "Exploring the Correlation of Pitch Accents and Semantic Slots for Spoken Language Understanding". In Proceedings of Interspeech, 2016.
  5. A. Schweitzer, N.T. Vu, "Cross-Gender and Cross-Dialect Tone Recognition for Vietnamese". In Proceedings of Interspeech, 2016.
  6. D.T. Le, N.T. Vu, A. Blessing, "Towards a text analysis system for political debates". In Proceedings of the 10th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH) - in conjunction with ACL, 2016.
  7. K.A. Nguyen, S. Schulte im Walde, N.T. Vu. "Integrating Distributional Lexical Contrast into Word Embeddings for Antonym-Synonym Distinction". In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL), 2016. [Outstanding Paper]
  8. N.T. Vu, H. Adel, P. Gupta and H. Schütze. "Combining Recurrent and Convolutional Neural Networks for Relation Classification". In Proceedings of the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), 2016.
  9. N.T. Vu, P. Gupta, H. Adel and H. Schütze. "Bi-directional Recurrent Neural Network with Ranking Loss for Spoken Language Understanding". In Proceedings of the 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016.

Google Scholar

SS 2020

  1. Computational Linguistics Team Laboratory: Phonetics
  2. Spoken Dialog Systems

WS 2019/2020

  1. Speech Recognition
  2. Deep Learning for Speech and Language Processing
  3. Dialog Modeling
  4. Projektseminar für Maschinelle Sprachverarbeitung (Phonetik+NLP)
  5. Projekt für Maschinelle Sprachverarbeitung (Phonetik+NLP)

SS 2019

  1. Computational Linguistics Team Laboratory: Phonetics
  2. Spoken Language Processing
  3. Ethics and NLP

WS 2018/2019

  1. Speech Recognition
  2. Deep Learning for Speech and Language Processing
  3. Dialog Modeling
  4. Projektseminar für Maschinelle Sprachverarbeitung (Phonetik)
  5. Projekt für Maschinelle Sprachverarbeitung (Phonetik)

SS 2018

  1. Computational Linguistics Team Laboratory: Phonetics
  2. Spoken Language Processing
  3. Ethics and NLP

WS 2017/2018

  1. Speech Recognition
  2. Deep Learning for Speech and Language Processing

SS 2017

  1. Computational Linguistics Team Laboratory: Phonetics
  2. Dialog Modeling
  3. Distributed Representation in NLP (only for CS Bsc)

WS 2016/2017

  1. Speech Recognition
  2. Deep Learning for Speech and Language Processing
  3. Affective Computing and Emotion Analysis
  4. Speech Synthesis

SS 2016

  1. Computational Linguistics Team Laboratory: Phonetics (siehe C@MPUS)

WS 2015/2016

  1. Speech Recognition (siehe LSF)
  2. Deep Learning for Speech and Language Processing (siehe LSF)
06/2018 - now
Full Professor at IMS, University of Stuttgart
10/2015 - 05/2018
Assistant Professor at IMS, University of Stuttgart
10-2014 - 09/2015
Acting Professor at CIS, LMU University of Munich
04/2014 - 09/2015
Senior Research Scientist, Nuance
09/2009 - 03/2014
Research Assistant at CSL, Karlsruhe Insitute of Technology
PhD student in Computer Science

I offer several BSc and MSc thesis topics related to language technology and machine learning. Please come to my hour office or write me an email.

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