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ORCIDNgoc Thang Vu
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- affiliation: University of Stuttgart, Institute for Natural Language Processing, Germany
- affiliation: University of Munich, Center for Information and Language Processing, Germany
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2020 – today
- 2025
[c137]Pascal Tilli, Ngoc Thang Vu:
Discrete Subgraph Sampling for Interpretable Graph based Visual Question Answering. COLING 2025: 2445-2455- [c136]Injy Hamed, Caroline Sabty, Slim Abdennadher, Ngoc Thang Vu, Thamar Solorio, Nizar Habash:
A Survey of Code-switched Arabic NLP: Progress, Challenges, and Future Directions. COLING 2025: 4561-4585 - [c135]Lindsey Vanderlyn, Ngoc Thang Vu:
It's What You Say and How You Say It: Investigating the Effect of Linguistic vs. Behavioral Adaptation in Task-Oriented Chatbots. COLING 2025: 6120-6149 - 2024
- [c134]Wei Zhou
, Heike Adel, Hendrik Schuff, Ngoc Thang Vu:
Explaining Pre-Trained Language Models with Attribution Scores: An Analysis in Low-Resource Settings. LREC/COLING 2024: 6867-6875 - [c133]Pascal Tilli, Ngoc Thang Vu:
Intrinsic Subgraph Generation for Interpretable Graph Based Visual Question Answering. LREC/COLING 2024: 9204-9223 - [c132]Maximilian Schmidt, Andrea Bartezzaghi, Ngoc Thang Vu:
Prompting-based Synthetic Data Generation for Few-Shot Question Answering. LREC/COLING 2024: 13168-13178 - [c131]Dirk Väth, Lindsey Vanderlyn, Ngoc Thang Vu:
Towards a Zero-Data, Controllable, Adaptive Dialog System. LREC/COLING 2024: 16433-16449 - [c130]Maximilian Kimmich, Andrea Bartezzaghi, Jasmina Bogojeska, Cristiano Malossi, Ngoc Thang Vu:
Combining Data Generation and Active Learning for Low-Resource Question Answering. ICANN (7) 2024: 131-147 - [c129]Daniel Ortega, Steven Söhnel, Ngoc Thang Vu:
Improving and Understanding Clarifying Question Generation in Conversational Search. TSD (2) 2024: 222-235 - [i90]Wei Zhou, Heike Adel, Hendrik Schuff, Ngoc Thang Vu:
Explaining Pre-Trained Language Models with Attribution Scores: An Analysis in Low-Resource Settings. CoRR abs/2403.05338 (2024) - [i89]Dirk Väth, Lindsey Vanderlyn, Ngoc Thang Vu:
Towards a Zero-Data, Controllable, Adaptive Dialog System. CoRR abs/2403.17582 (2024) - [i88]Pascal Tilli, Ngoc Thang Vu:
Intrinsic Subgraph Generation for Interpretable Graph based Visual Question Answering. CoRR abs/2403.17647 (2024) - [i87]Pavel Denisov, Ngoc Thang Vu:
Teaching a Multilingual Large Language Model to Understand Multilingual Speech via Multi-Instructional Training. CoRR abs/2404.10922 (2024) - [i86]Maximilian Schmidt, Andrea Bartezzaghi, Ngoc Thang Vu:
Prompting-based Synthetic Data Generation for Few-Shot Question Answering. CoRR abs/2405.09335 (2024) - [i85]Florian Lux, Sarina Meyer, Lyonel Behringer, Frank Zalkow, Phat Do, Matt Coler, Emanuël A. P. Habets, Ngoc Thang Vu:
Meta Learning Text-to-Speech Synthesis in over 7000 Languages. CoRR abs/2406.06403 (2024) - [i84]Thomas Bott, Florian Lux, Ngoc Thang Vu:
Controlling Emotion in Text-to-Speech with Natural Language Prompts. CoRR abs/2406.06406 (2024) - [i83]Sarina Meyer, Florian Lux, Ngoc Thang Vu:
Probing the Feasibility of Multilingual Speaker Anonymization. CoRR abs/2407.02937 (2024) - [i82]Chia-Yu Li, Ngoc Thang Vu:
Improving noisy student training for low-resource languages in End-to-End ASR using CycleGAN and inter-domain losses. CoRR abs/2407.21061 (2024) - [i81]Lucas Möller, Pascal Tilli, Ngoc Thang Vu, Sebastian Padó:
Explaining Vision-Language Similarities in Dual Encoders with Feature-Pair Attributions. CoRR abs/2408.14153 (2024) - [i80]Lindsey Vanderlyn, Dirk Väth, Ngoc Thang Vu:
Investigating the effect of Mental Models in User Interaction with an Adaptive Dialog Agent. CoRR abs/2408.14154 (2024) - [i79]Tushar Dhyani, Florian Lux, Michele Mancusi, Giorgio Fabbro, Fritz Hohl, Ngoc Thang Vu:
High-Resolution Speech Restoration with Latent Diffusion Model. CoRR abs/2409.11145 (2024) - [i78]Dirk Väth, Ngoc Thang Vu:
A Zero-Shot approach to the Conversational Tree Search Task. CoRR abs/2410.05821 (2024) - [i77]Pascal Tilli, Ngoc Thang Vu:
Discrete Subgraph Sampling for Interpretable Graph based Visual Question Answering. CoRR abs/2412.08263 (2024) - 2023
- [j9]Anton Batliner, Michael Neumann, Felix Burkhardt, Alice Baird, Sarina Meyer, Ngoc Thang Vu, Björn W. Schuller:
Ethical Awareness in Paralinguistics: A Taxonomy of Applications. Int. J. Hum. Comput. Interact. 39(9): 1904-1921 (2023) - [j8]Hendrik Schuff, Lindsey Vanderlyn, Heike Adel, Ngoc Thang Vu:
How to do human evaluation: A brief introduction to user studies in NLP. Nat. Lang. Eng. 29(5): 1199-1222 (2023) - [c128]Dirk Väth, Lindsey Vanderlyn, Ngoc Thang Vu:
DIAGRAPH: An Open-Source Graphic Interface for Dialog Flow Design. ACL (demo) 2023: 136-143 - [c127]Manuel Mager, Elisabeth Mager, Katharina Kann, Ngoc Thang Vu:
Ethical Considerations for Machine Translation of Indigenous Languages: Giving a Voice to the Speakers. ACL (1) 2023: 4871-4897 - [c126]Alon Jacovi, Hendrik Schuff, Heike Adel, Ngoc Thang Vu, Yoav Goldberg:
Neighboring Words Affect Human Interpretation of Saliency Explanations. ACL (Findings) 2023: 11816-11833 - [c125]Pavel Denisov, Ngoc Thang Vu:
Leveraging Multilingual Self-Supervised Pretrained Models for Sequence-to-Sequence End-to-End Spoken Language Understanding. ASRU 2023: 1-8 - [c124]Florian Lux, Julia Koch, Sarina Meyer, Thomas Bott, Nadja Schauffler, Pavel Denisov, Antje Schweitzer, Ngoc Thang Vu:
The IMS Toucan System for the Blizzard Challenge 2023. Blizzard Challenge 2023 - [c123]Esra Dönmez, Pascal Tilli, Hsiu-Yu Yang, Ngoc Thang Vu, Carina Silberer:
HNC: Leveraging Hard Negative Captions towards Models with Fine-Grained Visual-Linguistic Comprehension Capabilities. CoNLL 2023: 364-388 - [c122]Dirk Väth, Lindsey Vanderlyn, Ngoc Thang Vu:
Conversational Tree Search: A New Hybrid Dialog Task. EACL 2023: 1256-1272 - [c121]Marwa Gaser, Manuel Mager, Injy Hamed, Nizar Habash, Slim Abdennadher, Ngoc Thang Vu:
Exploring Segmentation Approaches for Neural Machine Translation of Code-Switched Egyptian Arabic-English Text. EACL 2023: 3505-3520 - [c120]Sarina Meyer, Florian Lux, Julia Koch, Pavel Denisov, Pascal Tilli, Ngoc Thang Vu:
Prosody Is Not Identity: A Speaker Anonymization Approach Using Prosody Cloning. ICASSP 2023: 1-5 - [c119]Daniel Grießhaber, Johannes Maucher, Ngoc Thang Vu:
Regularisation for Efficient Softmax Parameter Generation in Low-Resource Text Classifiers. IJCAI 2023: 5058-5066 - [c118]Florian Lux, Pascal Tilli, Sarina Meyer, Ngoc Thang Vu:
Controllable Generation of Artificial Speaker Embeddings through Discovery of Principal Directions. INTERSPEECH 2023: 4788-4792 - [c117]Noel Schäfer, Sebastian Künzel, Tanja Munz-Körner, Pascal Tilli, Sandeep Vidyapu, Ngoc Thang Vu, Daniel Weiskopf:
Visual Analysis of Scene-Graph-Based Visual Question Answering. VINCI 2023: 25:1-25:8 - [d5]Noel Schäfer, Pascal Tilli, Tanja Munz-Körner, Sebastian Künzel, Sandeep Vidyapu, Ngoc Thang Vu, Daniel Weiskopf:
Visual Analysis System for Scene-Graph-Based Visual Question Answering. DaRUS, 2023
- [d4]Noel Schäfer, Pascal Tilli, Tanja Munz-Körner, Sebastian Künzel, Sandeep Vidyapu, Ngoc Thang Vu, Daniel Weiskopf:
Model Parameters and Evaluation Data for our Visual Analysis System for Scene-Graph-Based Visual Question Answering. DaRUS, 2023 - [i76]Dirk Väth, Lindsey Vanderlyn, Ngoc Thang Vu:
Conversational Tree Search: A New Hybrid Dialog Task. CoRR abs/2303.10227 (2023) - [i75]Daniel Ortega, Sarina Meyer, Antje Schweitzer, Ngoc Thang Vu:
Modeling Speaker-Listener Interaction for Backchannel Prediction. CoRR abs/2304.04472 (2023) - [i74]Daniel Ortega, Chia-Yu Li, Ngoc Thang Vu:
Oh, Jeez! or Uh-huh? A Listener-aware Backchannel Predictor on ASR Transcriptions. CoRR abs/2304.04478 (2023) - [i73]Alon Jacovi, Hendrik Schuff, Heike Adel, Ngoc Thang Vu, Yoav Goldberg:
Neighboring Words Affect Human Interpretation of Saliency Explanations. CoRR abs/2305.02679 (2023) - [i72]Manuel Mager, Elisabeth Mager, Katharina Kann, Ngoc Thang Vu:
Ethical Considerations for Machine Translation of Indigenous Languages: Giving a Voice to the Speakers. CoRR abs/2305.19474 (2023) - [i71]Manuel Mager, Rajat Bhatnagar, Graham Neubig, Ngoc Thang Vu, Katharina Kann:
Neural Machine Translation for the Indigenous Languages of the Americas: An Introduction. CoRR abs/2306.06804 (2023) - [i70]Sarina Meyer, Xiaoxiao Miao, Ngoc Thang Vu:
VoicePAT: An Efficient Open-source Evaluation Toolkit for Voice Privacy Research. CoRR abs/2309.08049 (2023) - [i69]Pavel Denisov, Ngoc Thang Vu:
Leveraging Multilingual Self-Supervised Pretrained Models for Sequence-to-Sequence End-to-End Spoken Language Understanding. CoRR abs/2310.06103 (2023) - [i68]Injy Hamed, Nizar Habash, Ngoc Thang Vu:
Data Augmentation Techniques for Machine Translation of Code-Switched Texts: A Comparative Study. CoRR abs/2310.15262 (2023) - [i67]Florian Lux, Julia Koch, Sarina Meyer, Thomas Bott, Nadja Schauffler, Pavel Denisov, Antje Schweitzer, Ngoc Thang Vu:
The IMS Toucan System for the Blizzard Challenge 2023. CoRR abs/2310.17499 (2023) - [i66]Florian Lux, Pascal Tilli, Sarina Meyer, Ngoc Thang Vu:
Controllable Generation of Artificial Speaker Embeddings through Discovery of Principal Directions. CoRR abs/2310.17502 (2023) - 2022
- [j7]Tanja Munz, Dirk Väth, Paul Kuznecov, Ngoc Thang Vu, Daniel Weiskopf:
Visualization-based improvement of neural machine translation. Comput. Graph. 103: 45-60 (2022) - [j6]Injy Hamed, Pavel Denisov, Chia-Yu Li, Mohamed Elmahdy, Slim Abdennadher, Ngoc Thang Vu:
Investigations on speech recognition systems for low-resource dialectal Arabic-English code-switching speech. Comput. Speech Lang. 72: 101278 (2022) - [j5]Katharina Kann, Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, John E. Ortega, Annette Rios, Angela Fan, Ximena Gutierrez-Vasques, Luis Chiruzzo, Gustavo Alberto Giménez Lugo, Ricardo Ramos, Iván Vladimir Meza Ruíz, Elisabeth Mager, Vishrav Chaudhary, Graham Neubig, Alexis Palmer, Rolando Coto-Solano, Ngoc Thang Vu:
AmericasNLI: Machine translation and natural language inference systems for Indigenous languages of the Americas. Frontiers Artif. Intell. 5 (2022) - [j4]Injy Hamed, Alia El Bolock, Cornelia Herbert, Slim Abdennadher, Ngoc Thang Vu:
The Who in Code-Switching: A Case Study for Predicting Egyptian Arabic-English Code-Switching Levels Based on Character Profiles. Int. J. Asian Lang. Process. 32(1): 2250010:1-2250010:22 (2022) - [c116]Manuel Mager, Arturo Oncevay, Elisabeth Mager, Katharina Kann, Ngoc Thang Vu:
BPE vs. Morphological Segmentation: A Case Study on Machine Translation of Four Polysynthetic Languages. ACL (Findings) 2022: 961-971 - [c115]Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, Vishrav Chaudhary, Luis Chiruzzo, Angela Fan, John E. Ortega, Ricardo Ramos, Annette Rios, Iván Vladimir Meza Ruíz, Gustavo Giménez Lugo, Elisabeth Mager, Graham Neubig, Alexis Palmer, Rolando Coto-Solano, Ngoc Thang Vu, Katharina Kann:
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages. ACL (1) 2022: 6279-6299 - [c114]Florian Lux, Ngoc Thang Vu:
Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with Articulatory Features. ACL (1) 2022: 6858-6868 - [c113]Hendrik Schuff, Alon Jacovi, Heike Adel, Yoav Goldberg, Ngoc Thang Vu:
Human Interpretation of Saliency-based Explanation Over Text. FAccT 2022: 611-636 - [c112]Siddhant Arora, Siddharth Dalmia, Pavel Denisov, Xuankai Chang, Yushi Ueda, Yifan Peng, Yuekai Zhang, Sujay Kumar, Karthik Ganesan, Brian Yan, Ngoc Thang Vu, Alan W. Black, Shinji Watanabe:
ESPnet-SLU: Advancing Spoken Language Understanding Through ESPnet. ICASSP 2022: 7167-7171 - [c111]Lindsey Vanderlyn, Talita Anthonio, Daniel Ortega, Michael Roth, Ngoc Thang Vu:
Toward Implicit Reference in Dialog: A Survey of Methods and Data. AACL/IJCNLP (1) 2022: 587-600 - [c110]Florian Lux, Julia Koch, Ngoc Thang Vu:
Low-Resource Multilingual and Zero-Shot Multispeaker TTS. AACL/IJCNLP (1) 2022: 741-751 - [c109]Julia Koch, Florian Lux, Nadja Schauffler, Toni Bernhart, Felix Dieterle, Jonas Kuhn, Sandra Richter, Gabriel Viehhauser, Ngoc Thang Vu:
PoeticTTS - Controllable Poetry Reading for Literary Studies. INTERSPEECH 2022: 1223-1227 - [c108]Sarina Meyer, Florian Lux, Pavel Denisov, Julia Koch, Pascal Tilli, Ngoc Thang Vu:
Speaker Anonymization with Phonetic Intermediate Representations. INTERSPEECH 2022: 4925-4929 - [c107]Nadja Schauffler, Toni Bernhart, André Blessing, Gunilla Eschenbach, Markus Gärtner, Kerstin Jung, Anna Kinder, Julia Koch, Sandra Richter, Gabriel Viehhauser, Ngoc Thang Vu, Lorenz Wesemann, Jonas Kuhn:
»textklang« - Towards a Multi-Modal Exploration Platform for German Poetry. LREC 2022: 5345-5355 - [c106]Chia-Yu Li, Ngoc Thang Vu:
Improving Semi-Supervised End-To-End Automatic Speech Recognition Using Cyclegan and Inter-Domain Losses. SLT 2022: 822-829 - [c105]Florian Lux, Ching-Yi Chen, Ngoc Thang Vu:
Combining Contrastive and Non-Contrastive Losses for Fine-Tuning Pretrained Models in Speech Analysis. SLT 2022: 876-883 - [c104]Sarina Meyer, Pascal Tilli, Pavel Denisov, Florian Lux, Julia Koch, Ngoc Thang Vu:
Anonymizing Speech with Generative Adversarial Networks to Preserve Speaker Privacy. SLT 2022: 912-919 - [c103]Florian Lux, Julia Koch, Ngoc Thang Vu:
Exact Prosody Cloning in Zero-Shot Multispeaker Text-to-Speech. SLT 2022: 962-969 - [c102]Injy Hamed, Nizar Habash, Slim Abdennadher, Ngoc Thang Vu:
ArzEn-ST: A Three-way Speech Translation Corpus for Code-Switched Egyptian Arabic-English. WANLP@EMNLP 2022: 119-130 - [d3]Tanja Munz, Dirk Väth, Paul Kuznecov, Ngoc Thang Vu, Daniel Weiskopf:
NMTVis - Extended Neural Machine Translation Visualization System. DaRUS, 2022 - [i65]Hendrik Schuff, Alon Jacovi, Heike Adel, Yoav Goldberg, Ngoc Thang Vu:
Human Interpretation of Saliency-based Explanation Over Text. CoRR abs/2201.11569 (2022) - [i64]Florian Lux, Ngoc Thang Vu:
Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with Articulatory Features. CoRR abs/2203.03191 (2022) - [i63]Manuel Mager, Arturo Oncevay, Elisabeth Mager, Katharina Kann, Ngoc Thang Vu:
BPE vs. Morphological Segmentation: A Case Study on Machine Translation of Four Polysynthetic Languages. CoRR abs/2203.08954 (2022) - [i62]Hung-yi Lee, Shang-Wen Li, Ngoc Thang Vu:
Meta Learning for Natural Language Processing: A Survey. CoRR abs/2205.01500 (2022) - [i61]Injy Hamed, Nizar Habash, Slim Abdennadher, Ngoc Thang Vu:
Investigating Lexical Replacements for Arabic-English Code-Switched Data Augmentation. CoRR abs/2205.12649 (2022) - [i60]Florian Lux, Julia Koch, Ngoc Thang Vu:
Prosody Cloning in Zero-Shot Multispeaker Text-to-Speech. CoRR abs/2206.12229 (2022) - [i59]Sarina Meyer, Florian Lux, Pavel Denisov, Julia Koch, Pascal Tilli, Ngoc Thang Vu:
Speaker Anonymization with Phonetic Intermediate Representations. CoRR abs/2207.04834 (2022) - [i58]Julia Koch, Florian Lux, Nadja Schauffler, Toni Bernhart, Felix Dieterle, Jonas Kuhn, Sandra Richter, Gabriel Viehhauser, Ngoc Thang Vu:
PoeticTTS - Controllable Poetry Reading for Literary Studies. CoRR abs/2207.05549 (2022) - [i57]Injy Hamed, Alia El Bolock, Cornelia Herbert, Slim Abdennadher, Ngoc Thang Vu:
The Who in Code-Switching: A Case Study for Predicting Egyptian Arabic-English Code-Switching Levels based on Character Profiles. CoRR abs/2208.00433 (2022) - [i56]Marwa Gaser, Manuel Mager, Injy Hamed, Nizar Habash, Slim Abdennadher, Ngoc Thang Vu:
Exploring Segmentation Approaches for Neural Machine Translation of Code-Switched Egyptian Arabic-English Text. CoRR abs/2210.06990 (2022) - [i55]Sarina Meyer, Pascal Tilli, Pavel Denisov, Florian Lux, Julia Koch, Ngoc Thang Vu:
Anonymizing Speech with Generative Adversarial Networks to Preserve Speaker Privacy. CoRR abs/2210.07002 (2022) - [i54]Hendrik Schuff, Heike Adel, Peng Qi, Ngoc Thang Vu:
How (Not) To Evaluate Explanation Quality. CoRR abs/2210.07126 (2022) - [i53]Chia-Yu Li, Ngoc Thang Vu:
Improving Semi-supervised End-to-end Automatic Speech Recognition using CycleGAN and Inter-domain Losses. CoRR abs/2210.11642 (2022) - [i52]Florian Lux, Julia Koch, Ngoc Thang Vu:
Low-Resource Multilingual and Zero-Shot Multispeaker TTS. CoRR abs/2210.12223 (2022) - [i51]Florian Lux, Ching-Yi Chen, Ngoc Thang Vu:
Combining Contrastive and Non-Contrastive Losses for Fine-Tuning Pretrained Models in Speech Analysis. CoRR abs/2211.01964 (2022) - [i50]Injy Hamed, Nizar Habash, Slim Abdennadher, Ngoc Thang Vu:
ArzEn-ST: A Three-way Speech Translation Corpus for Code-Switched Egyptian Arabic - English. CoRR abs/2211.12000 (2022) - 2021
- [c101]Chia-Yu Li, Ngoc Thang Vu:
Improving Speech Recognition on Noisy Speech via Speech Enhancement with Multi-Discriminators CycleGAN. ASRU 2021: 830-836 - [c100]Hendrik Schuff, Hsiu-Yu Yang, Heike Adel, Ngoc Thang Vu:
Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings. BlackboxNLP@EMNLP 2021: 26-41 - [c99]Florian Lux, Julia Koch, Antje Schweitzer, Ngoc Thang Vu:
The IMS Toucan system for the Blizzard Challenge 2021. Blizzard Challenge 2021 - [c98]Katharina Weitz, Lindsey Vanderlyn, Ngoc Thang Vu, Elisabeth André:
"It's our fault!": Insights Into Users' Understanding and Interaction With an Explanatory Collaborative Dialog System. CoNLL 2021: 1-16 - [c97]Lindsey Vanderlyn, Gianna Weber, Michael Neumann, Dirk Väth, Sarina Meyer, Ngoc Thang Vu:
"It seemed like an annoying woman": On the Perception and Ethical Considerations of Affective Language in Text-Based Conversational Agents. CoNLL 2021: 44-57 - [c96]Cennet Oguz, Ngoc Thang Vu:
Few-shot Learning for Slot Tagging with Attentive Relational Network. EACL 2021: 1566-1572 - [c95]Dirk Väth, Pascal Tilli, Ngoc Thang Vu:
Beyond Accuracy: A Consolidated Tool for Visual Question Answering Benchmarking. EMNLP (Demos) 2021: 114-123 - [c94]Tanja Munz, Dirk Väth, Paul Kuznecov, Ngoc Thang Vu, Daniel Weiskopf:
Visual-Interactive Neural Machine Translation. Graphics Interface 2021: 265-274 - [c93]Injy Hamed, Alia El Bolock, Nader Rizk, Cornelia Herbert, Slim Abdennadher, Ngoc Thang Vu:
Predicting User Code-Switching Level from Sociological and Psychological Profiles. IALP 2021: 395-400 - [c92]Florian Lux, Ngoc Thang Vu:
Meta-Learning for Improving Rare Word Recognition in End-to-End ASR. ICASSP 2021: 5974-5978 - [c91]Pavel Denisov, Manuel Mager, Ngoc Thang Vu:
IMS' Systems for the IWSLT 2021 Low-Resource Speech Translation Task. IWSLT 2021: 175-181 - [c90]Michael Neumann, Ngoc Thang Vu:
Investigations on audiovisual emotion recognition in noisy conditions. SLT 2021: 358-364 - [d2]Tanja Munz, Dirk Väth, Paul Kuznecov, Ngoc Thang Vu, Daniel Weiskopf:
NMTVis - Neural Machine Translation Visualization System. DaRUS, 2021 - [d1]Tanja Munz, Dirk Väth, Paul Kuznecov, Ngoc Thang Vu, Daniel Weiskopf:
NMTVis - Trained Models for our Visual Analytics System. DaRUS, 2021 - [i49]Florian Lux, Ngoc Thang Vu:
Meta-Learning for improving rare word recognition in end-to-end ASR. CoRR abs/2102.12624 (2021) - [i48]Michael Neumann, Ngoc Thang Vu:
Investigations on Audiovisual Emotion Recognition in Noisy Conditions. CoRR abs/2103.01894 (2021) - [i47]Cennet Oguz, Ngoc Thang Vu:
Few-shot Learning for Slot Tagging with Attentive Relational Network. CoRR abs/2103.02333 (2021) - [i46]Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, Vishrav Chaudhary, Luis Chiruzzo, Angela Fan, John E. Ortega, Ricardo Ramos, Annette Rios, Ivan Vladimir, Gustavo Alberto Giménez Lugo, Elisabeth Mager, Graham Neubig, Alexis Palmer, Rolando Coto-Solano, Ngoc Thang Vu, Katharina Kann:
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages. CoRR abs/2104.08726 (2021) - [i45]Pavel Denisov, Manuel Mager, Ngoc Thang Vu:
IMS' Systems for the IWSLT 2021 Low-Resource Speech Translation Task. CoRR abs/2106.16055 (2021) - [i44]Hendrik Schuff, Heike Adel, Ngoc Thang Vu:
Thought Flow Nets: From Single Predictions to Trains of Model Thought. CoRR abs/2107.12220 (2021) - [i43]Injy Hamed, Pavel Denisov, Chia-Yu Li, Mohamed Elmahdy, Slim Abdennadher, Ngoc Thang Vu:
Investigations on Speech Recognition Systems for Low-Resource Dialectal Arabic-English Code-Switching Speech. CoRR abs/2108.12881 (2021) - [i42]Hendrik Schuff, Hsiu-Yu Yang, Heike Adel, Ngoc Thang Vu:
Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings. CoRR abs/2109.07833 (2021) - [i41]Dirk Väth, Pascal Tilli, Ngoc Thang Vu:
Beyond Accuracy: A Consolidated Tool for Visual Question Answering Benchmarking. CoRR abs/2110.05159 (2021) - [i40]Siddhant Arora, Siddharth Dalmia, Pavel Denisov, Xuankai Chang, Yushi Ueda, Yifan Peng, Yuekai Zhang, Sujay Kumar, Karthik Ganesan, Brian Yan, Ngoc Thang Vu, Alan W. Black, Shinji Watanabe:
ESPnet-SLU: Advancing Spoken Language Understanding through ESPnet. CoRR abs/2111.14706 (2021) - [i39]Chia-Yu Li, Ngoc Thang Vu:
Improving Speech Recognition on Noisy Speech via Speech Enhancement with Multi-Discriminators CycleGAN. CoRR abs/2112.06309 (2021) - [i38]Chia-Yu Li, Ngoc Thang Vu:
Improving Code-switching Language Modeling with Artificially Generated Texts using Cycle-consistent Adversarial Networks. CoRR abs/2112.06327 (2021) - [i37]Injy Hamed, Alia El Bolock, Nader Rizk, Cornelia Herbert, Slim Abdennadher, Ngoc Thang Vu:
Predicting User Code-Switching Level from Sociological and Psychological Profiles. CoRR abs/2112.06462 (2021) - [i36]Chia-Yu Li, Ngoc Thang Vu:
Investigation of Densely Connected Convolutional Networks with Domain Adversarial Learning for Noise Robust Speech Recognition. CoRR abs/2112.10108 (2021) - [i35]Chia-Yu Li, Ngoc Thang Vu:
Integrating Knowledge in End-to-End Automatic Speech Recognition for Mandarin-English Code-Switching. CoRR abs/2112.10202 (2021) - 2020
- [j3]Daniel Grießhaber, Ngoc Thang Vu, Johannes Maucher:
Low-resource text classification using domain-adversarial learning. Comput. Speech Lang. 62: 101056 (2020) - [j2]Sabrina Stehwien, Antje Schweitzer, Ngoc Thang Vu:
Acoustic and temporal representations in convolutional neural network models of prosodic events. Speech Commun. 125: 128-141 (2020) - [c89]Chia-Yu Li, Daniel Ortega, Dirk Väth, Florian Lux, Lindsey Vanderlyn, Maximilian Schmidt, Michael Neumann, Moritz Völkel, Pavel Denisov, Sabrina Jenne, Zorica Kacarevic, Ngoc Thang Vu:
ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational Agents. ACL (demo) 2020: 279-286 - [c88]Xiang Yu, Simon Tannert, Ngoc Thang Vu, Jonas Kuhn:
Fast and Accurate Non-Projective Dependency Tree Linearization. ACL 2020: 1451-1462 - [c87]Frank Heyen, Tanja Munz, Michael Neumann, Daniel Ortega, Ngoc Thang Vu, Daniel Weiskopf, Michael Sedlmair:
ClaVis: An Interactive Visual Comparison System for Classifiers. AVI 2020: 9:1-9:9 - [c86]Daniel Grießhaber, Johannes Maucher, Ngoc Thang Vu:
Fine-tuning BERT for Low-Resource Natural Language Understanding via Active Learning. COLING 2020: 1158-1171 - [c85]Ekta Sood, Simon Tannert, Diego Frassinelli, Andreas Bulling, Ngoc Thang Vu:
Interpreting Attention Models with Human Visual Attention in Machine Reading Comprehension. CoNLL 2020: 12-25 - [c84]Cennet Oguz, Ngoc Thang Vu:
A Two-stage Model for Slot Filling in Low-resource Settings: Domain-agnostic Non-slot Reduction and Pretrained Contextual Embeddings. SustaiNLP@EMNLP 2020: 73-82 - [c83]Hendrik Schuff, Heike Adel, Ngoc Thang Vu:
F1 is Not Enough! Models and Evaluation Towards User-Centered Explainable Question Answering. EMNLP (1) 2020: 7076-7095 - [c82]Daniel Ortega, Chia-Yu Li, Ngoc Thang Vu:
OH, JEEZ! or UH-HUH? A Listener-Aware Backchannel Predictor on ASR Transcriptions. ICASSP 2020: 8064-8068 - [c81]Pavel Denisov, Ngoc Thang Vu:
Pretrained Semantic Speech Embeddings for End-to-End Spoken Language Understanding via Cross-Modal Teacher-Student Learning. INTERSPEECH 2020: 881-885 - [c80]Chia-Yu Li, Ngoc Thang Vu:
Improving Code-Switching Language Modeling with Artificially Generated Texts Using Cycle-Consistent Adversarial Networks. INTERSPEECH 2020: 1057-1061 - [c79]Mohamed Balabel, Injy Hamed, Slim Abdennadher, Ngoc Thang Vu, Özlem Çetinoglu:
Cairo Student Code-Switch (CSCS) Corpus: An Annotated Egyptian Arabic-English Corpus. LREC 2020: 3973-3977 - [c78]Injy Hamed, Ngoc Thang Vu, Slim Abdennadher:
ArzEn: A Speech Corpus for Code-switched Egyptian Arabic-English. LREC 2020: 4237-4246 - [c77]Alia El Bolock, Injy Khairy, Yomna Abdelrahman, Ngoc Thang Vu, Cornelia Herbert, Slim Abdennadher:
Who, When and Why: The 3 Ws of Code-Switching. PAAMS (Workshops) 2020: 83-94 - [c76]Xiang Yu, Ngoc Thang Vu, Jonas Kuhn:
Ensemble Self-Training for Low-Resource Languages: Grapheme-to-Phoneme Conversion and Morphological Inflection. SIGMORPHON 2020: 70-78 - [i34]Chia-Yu Li, Daniel Ortega, Dirk Väth, Florian Lux, Lindsey Vanderlyn, Maximilian Schmidt, Michael Neumann, Moritz Völkel, Pavel Denisov, Sabrina Jenne, Zorica Kacarevic, Ngoc Thang Vu:
ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational Agents. CoRR abs/2005.01777 (2020) - [i33]Pavel Denisov, Ngoc Thang Vu:
Pretrained Semantic Speech Embeddings for End-to-End Spoken Language Understanding via Cross-Modal Teacher-Student Learning. CoRR abs/2007.01836 (2020) - [i32]Hendrik Schuff, Heike Adel, Ngoc Thang Vu:
F1 is Not Enough! Models and Evaluation Towards User-Centered Explainable Question Answering. CoRR abs/2010.06283 (2020) - [i31]Ekta Sood, Simon Tannert, Diego Frassinelli, Andreas Bulling, Ngoc Thang Vu:
Interpreting Attention Models with Human Visual Attention in Machine Reading Comprehension. CoRR abs/2010.06396 (2020) - [i30]Daniel Grießhaber, Johannes Maucher, Ngoc Thang Vu:
Fine-tuning BERT for Low-Resource Natural Language Understanding via Active Learning. CoRR abs/2012.02462 (2020)
2010 – 2019
- 2019
- [c75]Daniel Ortega, Dirk Väth, Gianna Weber, Lindsey Vanderlyn, Maximilian Schmidt, Moritz Völkel, Zorica Karacevic, Ngoc Thang Vu:
ADVISER: A Dialog System Framework for Education & Research. ACL (3) 2019: 93-98 - [c74]Xiang Yu, Ngoc Thang Vu, Jonas Kuhn:
Learning the Dyck Language with Attention-based Seq2Seq Models. BlackboxNLP@ACL 2019: 138-146 - [c73]Xiang Yu, Agnieszka Falenska, Marina Haid, Ngoc Thang Vu, Jonas Kuhn:
IMSurReal: IMS at the Surface Realization Shared Task 2019. MSR@EMNLP-IJCNLP 2019: 50-58 - [c72]Chia-Yu Li, Ngoc Thang Vu:
Integrating Knowledge in End-to-End Automatic Speech Recognition for Mandarin-English Code-Switching. IALP 2019: 160-165 - [c71]Daniel Ortega, Chia-Yu Li, Gisela Vallejo, Pavel Denisov, Ngoc Thang Vu:
Context-aware Neural-based Dialog Act Classification on Automatically Generated Transcriptions. ICASSP 2019: 7265-7269 - [c70]Michael Neumann, Ngoc Thang Vu:
Improving Speech Emotion Recognition with Unsupervised Representation Learning on Unlabeled Speech. ICASSP 2019: 7390-7394 - [c69]Xiang Yu, Agnieszka Falenska, Ngoc Thang Vu, Jonas Kuhn:
Head-First Linearization with Tree-Structured Representation. INLG 2019: 279-289 - [c68]Katrin Angerbauer, Heike Adel, Ngoc Thang Vu:
Automatic Compression of Subtitles with Neural Networks and its Effect on User Experience. INTERSPEECH 2019: 594-598 - [c67]Fang Bao, Michael Neumann, Ngoc Thang Vu:
CycleGAN-Based Emotion Style Transfer as Data Augmentation for Speech Emotion Recognition. INTERSPEECH 2019: 2828-2832 - [c66]Sabrina Jenne, Ngoc Thang Vu:
Multimodal Articulation-Based Pronunciation Error Detection with Spectrogram and Acoustic Features. INTERSPEECH 2019: 3549-3553 - [c65]Pavel Denisov, Ngoc Thang Vu:
End-to-End Multi-Speaker Speech Recognition Using Speaker Embeddings and Transfer Learning. INTERSPEECH 2019: 4425-4429 - [c64]Dirk Väth, Ngoc Thang Vu:
To Combine or Not To Combine? A Rainbow Deep Reinforcement Learning Agent for Dialog Policies. SIGdial 2019: 62-67 - [c63]Injy Hamed, Moritz Zhu, Mohamed Elmahdy, Slim Abdennadher, Ngoc Thang Vu:
Code-Switching Language Modeling with Bilingual Word Embeddings: A Case Study for Egyptian Arabic-English. SPECOM 2019: 160-170 - [i29]Daniel Ortega, Chia-Yu Li, Gisela Vallejo, Pavel Denisov, Ngoc Thang Vu:
Context-aware Neural-based Dialog Act Classification on Automatically Generated Transcriptions. CoRR abs/1902.11060 (2019) - [i28]Pavel Denisov, Ngoc Thang Vu:
End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning. CoRR abs/1908.04737 (2019) - [i27]Pavel Denisov, Ngoc Thang Vu:
IMS-Speech: A Speech to Text Tool. CoRR abs/1908.04743 (2019) - [i26]Injy Hamed, Moritz Zhu, Mohamed Elmahdy, Slim Abdennadher, Ngoc Thang Vu:
Code-switching Language Modeling With Bilingual Word Embeddings: A Case Study for Egyptian Arabic-English. CoRR abs/1909.10892 (2019) - 2018
- [c62]Pavel Denisov, Ngoc Thang Vu, Marc Ferras Font:
Unsupervised Domain Adaptation by Adversarial Learning for Robust Speech Recognition. ITG Symposium on Speech Communication 2018: 1-5 - [c61]Chia-Yu Li, Ngoc Thang Vu:
Densely Connected Convolutional Networks for Speech Recognition. ITG Symposium on Speech Communication 2018: 1-5 - [c60]Xiang Yu, Ngoc Thang Vu, Jonas Kuhn:
Approximate Dynamic Oracle for Dependency Parsing with Reinforcement Learning. UDW@EMNLP 2018: 183-191 - [c59]Matthias Blohm, Glorianna Jagfeld, Ekta Sood, Xiang Yu, Ngoc Thang Vu:
Comparing Attention-Based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension. CoNLL 2018: 108-118 - [c58]Michael Wand, Jürgen Schmidhuber, Ngoc Thang Vu:
Investigations on End- to-End Audiovisual Fusion. ICASSP 2018: 3041-3045 - [c57]Michael Neumann, Ngoc Thang Vu:
CRoss-lingual and Multilingual Speech Emotion Recognition on English and French. ICASSP 2018: 5769-5773 - [c56]Daniel Ortega, Ngoc Thang Vu:
Lexico-Acoustic Neural-Based Models for Dialog Act Classification. ICASSP 2018: 6194-6198 - [c55]Glorianna Jagfeld, Sabrina Jenne, Ngoc Thang Vu:
Sequence-to-Sequence Models for Data-to-Text Natural Language Generation: Word- vs. Character-based Processing and Output Diversity. INLG 2018: 221-232 - [c54]Kim Anh Nguyen, Sabine Schulte im Walde, Ngoc Thang Vu:
Introducing Two Vietnamese Datasets for Evaluating Semantic Models of (Dis-)Similarity and Relatedness. NAACL-HLT (2) 2018: 199-205 - [c53]Daniel Grießhaber, Ngoc Thang Vu, Johannes Maucher:
Low-Resource Text Classification Using Domain-Adversarial Learning. SLSP 2018: 129-139 - [i25]Michael Neumann, Ngoc Thang Vu:
Cross-lingual and Multilingual Speech Emotion Recognition on English and French. CoRR abs/1803.00357 (2018) - [i24]Daniel Ortega, Ngoc Thang Vu:
Lexico-acoustic Neural-based Models for Dialog Act Classification. CoRR abs/1803.00831 (2018) - [i23]Kim Anh Nguyen, Sabine Schulte im Walde, Ngoc Thang Vu:
Introducing two Vietnamese Datasets for Evaluating Semantic Models of (Dis-)Similarity and Relatedness. CoRR abs/1804.05388 (2018) - [i22]Michael Wand, Ngoc Thang Vu, Jürgen Schmidhuber:
Investigations on End-to-End Audiovisual Fusion. CoRR abs/1804.11127 (2018) - [i21]Sabrina Stehwien, Ngoc Thang Vu, Antje Schweitzer:
Effects of Word Embeddings on Neural Network-based Pitch Accent Detection. CoRR abs/1805.05237 (2018) - [i20]Daniel Grießhaber, Ngoc Thang Vu, Johannes Maucher:
Low-Resource Text Classification using Domain-Adversarial Learning. CoRR abs/1807.05195 (2018) - [i19]Pavel Denisov, Ngoc Thang Vu, Marc Ferras Font:
Unsupervised Domain Adaptation by Adversarial Learning for Robust Speech Recognition. CoRR abs/1807.11284 (2018) - [i18]Chia-Yu Li, Ngoc Thang Vu:
Densely Connected Convolutional Networks for Speech Recognition. CoRR abs/1808.03570 (2018) - [i17]Matthias Blohm, Glorianna Jagfeld, Ekta Sood, Xiang Yu, Ngoc Thang Vu:
Comparing Attention-based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension. CoRR abs/1808.08744 (2018) - [i16]Glorianna Jagfeld, Sabrina Jenne, Ngoc Thang Vu:
Sequence-to-Sequence Models for Data-to-Text Natural Language Generation: Word- vs. Character-based Processing and Output Diversity. CoRR abs/1810.04864 (2018) - 2017
- [c52]Xiang Yu, Ngoc Thang Vu:
Character Composition Model with Convolutional Neural Networks for Dependency Parsing on Morphologically Rich Languages. ACL (2) 2017: 672-678 - [c51]Kim Anh Nguyen, Sabine Schulte im Walde, Ngoc Thang Vu:
Distinguishing Antonyms and Synonyms in a Pattern-based Neural Network. EACL (1) 2017: 76-85 - [c50]Glorianna Jagfeld, Ngoc Thang Vu:
Encoding Word Confusion Networks with Recurrent Neural Networks for Dialog State Tracking. SCNLP@EMNLP 2017 2017: 10-17 - [c49]Moritz Stiefel, Ngoc Thang Vu:
Enriching ASR Lattices with POS Tags for Dependency Parsing. SCNLP@EMNLP 2017 2017: 37-47 - [c48]Ina Rösiger, Sabrina Stehwien, Arndt Riester, Ngoc Thang Vu:
Improving coreference resolution with automatically predicted prosodic information. SCNLP@EMNLP 2017 2017: 78-83 - [c47]Xiang Yu, Agnieszka Falenska, Ngoc Thang Vu:
A General-Purpose Tagger with Convolutional Neural Networks. SWCN@EMNLP 2017: 124-129 - [c46]Kim Anh Nguyen, Maximilian Köper, Sabine Schulte im Walde, Ngoc Thang Vu:
Hierarchical Embeddings for Hypernymy Detection and Directionality. EMNLP 2017: 233-243 - [c45]Michael Neumann, Ngoc Thang Vu:
Attentive Convolutional Neural Network Based Speech Emotion Recognition: A Study on the Impact of Input Features, Signal Length, and Acted Speech. INTERSPEECH 2017: 1263-1267 - [c44]Sabrina Stehwien, Ngoc Thang Vu:
Prosodic Event Recognition Using Convolutional Neural Networks with Context Information. INTERSPEECH 2017: 2326-2330 - [c43]Daniel Ortega, Ngoc Thang Vu:
Neural-based Context Representation Learning for Dialog Act Classification. SIGDIAL Conference 2017: 247-252 - [i15]Kim Anh Nguyen, Sabine Schulte im Walde, Ngoc Thang Vu:
Distinguishing Antonyms and Synonyms in a Pattern-based Neural Network. CoRR abs/1701.02962 (2017) - [i14]Xiang Yu, Ngoc Thang Vu:
Character Composition Model with Convolutional Neural Networks for Dependency Parsing on Morphologically Rich Languages. CoRR abs/1705.10814 (2017) - [i13]Michael Neumann, Ngoc Thang Vu:
Attentive Convolutional Neural Network based Speech Emotion Recognition: A Study on the Impact of Input Features, Signal Length, and Acted Speech. CoRR abs/1706.00612 (2017) - [i12]Sabrina Stehwien, Ngoc Thang Vu:
Prosodic Event Recognition using Convolutional Neural Networks with Context Information. CoRR abs/1706.00741 (2017) - [i11]Xiang Yu, Agnieszka Falenska, Ngoc Thang Vu:
A General-Purpose Tagger with Convolutional Neural Networks. CoRR abs/1706.01723 (2017) - [i10]Glorianna Jagfeld, Ngoc Thang Vu:
EncodingWord Confusion Networks with Recurrent Neural Networks for Dialog State Tracking. CoRR abs/1707.05853 (2017) - [i9]Kim Anh Nguyen, Maximilian Köper, Sabine Schulte im Walde, Ngoc Thang Vu:
Hierarchical Embeddings for Hypernymy Detection and Directionality. CoRR abs/1707.07273 (2017) - [i8]Ina Rösiger, Sabrina Stehwien, Arndt Riester, Ngoc Thang Vu:
Improving coreference resolution with automatically predicted prosodic information. CoRR abs/1707.09231 (2017) - [i7]Daniel Ortega, Ngoc Thang Vu:
Neural-based Context Representation Learning for Dialog Act Classification. CoRR abs/1708.02561 (2017) - [i6]Heike Adel, Ngoc Thang Vu, Katrin Kirchhoff, Dominic Telaar, Tanja Schultz:
Syntactic and Semantic Features For Code-Switching Factored Language Models. CoRR abs/1710.01809 (2017) - 2016
- [c42]Kim Anh Nguyen, Sabine Schulte im Walde, Ngoc Thang Vu:
Integrating Distributional Lexical Contrast into Word Embeddings for Antonym-Synonym Distinction. ACL (2) 2016 - [c41]Özlem Çetinoglu, Sarah Schulz, Ngoc Thang Vu:
Challenges of Computational Processing of Code-Switching. CodeSwitch@EMNLP 2016: 1-11 - [c40]Kim Anh Nguyen, Sabine Schulte im Walde, Ngoc Thang Vu:
Neural-based Noise Filtering from Word Embeddings. COLING 2016: 2699-2707 - [c39]Ngoc Thang Vu, Pankaj Gupta, Heike Adel, Hinrich Schütze:
Bi-directional recurrent neural network with ranking loss for spoken language understanding. ICASSP 2016: 6060-6064 - [c38]Sabrina Stehwien, Ngoc Thang Vu:
Exploring the Correlation of Pitch Accents and Semantic Slots for Spoken Language Understanding. INTERSPEECH 2016: 730-734 - [c37]Antje Schweitzer, Ngoc Thang Vu:
Cross-Gender and Cross-Dialect Tone Recognition for Vietnamese. INTERSPEECH 2016: 1064-1068 - [c36]Ngoc Thang Vu:
Sequential Convolutional Neural Networks for Slot Filling in Spoken Language Understanding. INTERSPEECH 2016: 3250-3254 - [c35]Dieu-Thu Le, Ngoc Thang Vu, André Blessing:
Towards a text analysis system for political debates. LaTeCH@ACL 2016 - [c34]Ngoc Thang Vu, Heike Adel, Pankaj Gupta, Hinrich Schütze:
Combining Recurrent and Convolutional Neural Networks for Relation Classification. HLT-NAACL 2016: 534-539 - [i5]Ngoc Thang Vu, Heike Adel, Pankaj Gupta, Hinrich Schütze:
Combining Recurrent and Convolutional Neural Networks for Relation Classification. CoRR abs/1605.07333 (2016) - [i4]Kim Anh Nguyen, Sabine Schulte im Walde, Ngoc Thang Vu:
Integrating Distributional Lexical Contrast into Word Embeddings for Antonym-Synonym Distinction. CoRR abs/1605.07766 (2016) - [i3]Ngoc Thang Vu:
Sequential Convolutional Neural Networks for Slot Filling in Spoken Language Understanding. CoRR abs/1606.07783 (2016) - [i2]Kim Anh Nguyen, Sabine Schulte im Walde, Ngoc Thang Vu:
Neural-based Noise Filtering from Word Embeddings. CoRR abs/1610.01874 (2016) - [i1]Özlem Çetinoglu, Sarah Schulz, Ngoc Thang Vu:
Challenges of Computational Processing of Code-Switching. CoRR abs/1610.02213 (2016) - 2015
- [j1]Heike Adel, Ngoc Thang Vu, Katrin Kirchhoff, Dominic Telaar, Tanja Schultz:
Syntactic and Semantic Features For Code-Switching Factored Language Models. IEEE ACM Trans. Audio Speech Lang. Process. 23(3): 431-440 (2015) - [c33]Sebastian Ebert, Ngoc Thang Vu, Hinrich Schütze:
CIS-positive: A Combination of Convolutional Neural Networks and Support Vector Machines for Sentiment Analysis in Twitter. SemEval@NAACL-HLT 2015: 527-532 - [c32]Sebastian Ebert, Ngoc Thang Vu, Hinrich Schütze:
A Linguistically Informed Convolutional Neural Network. WASSA@EMNLP 2015: 109-114 - 2014
- [b1]Ngoc Thang Vu:
Automatic Speech Recognition for Low-resource Languages and Accents Using Multilingual and Crosslingual Information. Karlsruhe Institute of Technology, 2014, ISBN 978-3-8440-2892-8, pp. 1-181 - [c31]Ngoc Thang Vu, Tanja Schultz:
Exploration of the Impact of Maximum Entropy in Recurrent Neural Network Language Models for Code-Switching Speech. CodeSwitch@EMNLP 2014: 34-41 - [c30]Ngoc Thang Vu, David Imseng, Daniel Povey, Petr Motlícek, Tanja Schultz, Hervé Bourlard:
Multilingual deep neural network based acoustic modeling for rapid language adaptation. ICASSP 2014: 7639-7643 - [c29]Ngoc Thang Vu, Yuanfan Wang, Marten Klose, Zlatka Mihaylova, Tanja Schultz:
Improving ASR performance on non-native speech using multilingual and crosslingual information. INTERSPEECH 2014: 11-15 - [c28]Heike Adel, Katrin Kirchhoff, Ngoc Thang Vu, Dominic Telaar, Tanja Schultz:
Comparing approaches to convert recurrent neural networks into backoff language models for efficient decoding. INTERSPEECH 2014: 651-655 - [c27]Ngoc Thang Vu, Jochen Weiner, Tanja Schultz:
Investigating the learning effect of multilingual bottle-neck features for ASR. INTERSPEECH 2014: 825-829 - [c26]Heike Adel, Dominic Telaar, Ngoc Thang Vu, Katrin Kirchhoff, Tanja Schultz:
Combining recurrent neural networks and factored language models during decoding of code-Switching speech. INTERSPEECH 2014: 1415-1419 - [c25]Dominic Telaar, Michael Wand, Dirk Gehrig, Felix Putze, Christoph Amma, Dominic Heger, Ngoc Thang Vu, Mark Erhardt, Tim Schlippe, Matthias Janke, Christian Herff, Tanja Schultz:
BioKIT - real-time decoder for biosignal processing. INTERSPEECH 2014: 2650-2654 - [c24]Heike Adel, Katrin Kirchhoff, Dominic Telaar, Ngoc Thang Vu, Tim Schlippe, Tanja Schultz:
Features for factored language models for code-Switching speech. SLTU 2014: 32-38 - 2013
- [c23]Heike Adel, Ngoc Thang Vu, Tanja Schultz:
Combination of Recurrent Neural Networks and Factored Language Models for Code-Switching Language Modeling. ACL (2) 2013: 206-211 - [c22]Tanja Schultz, Ngoc Thang Vu, Tim Schlippe:
GlobalPhone: A multilingual text & speech database in 20 languages. ICASSP 2013: 8126-8130 - [c21]Heike Adel, Ngoc Thang Vu, Franziska Kraus, Tim Schlippe, Haizhou Li, Tanja Schultz:
Recurrent neural network language modeling for code switching conversational speech. ICASSP 2013: 8411-8415 - [c20]Ngoc Thang Vu, Tanja Schultz:
Multilingual multilayer perceptron for rapid language adaptation between and across language families. INTERSPEECH 2013: 515-519 - [c19]Melvin Jose Johnson Premkumar, Ngoc Thang Vu, Tanja Schultz:
Experiments towards a better LVCSR system for tamil. INTERSPEECH 2013: 2202-2206 - [c18]Tim Schlippe, Lukasz Gren, Ngoc Thang Vu, Tanja Schultz:
Unsupervised language model adaptation for automatic speech recognition of broadcast news using web 2.0. INTERSPEECH 2013: 2698-2702 - [c17]Ngoc Thang Vu, Heike Adel, Tanja Schultz:
An Investigation of Code-Switching Attitude Dependent Language Modeling. SLSP 2013: 297-308 - 2012
- [c16]Melvin Jose J., Ngoc Thang Vu, Tanja Schultz:
Initial Experiments with Tamil LVCSR. IALP 2012: 81-84 - [c15]Daniel Povey, Mirko Hannemann, Gilles Boulianne, Lukás Burget, Arnab Ghoshal, Milos Janda, Martin Karafiát, Stefan Kombrink, Petr Motlícek, Yanmin Qian, Korbinian Riedhammer, Karel Veselý, Ngoc Thang Vu:
Generating exact lattices in the WFST framework. ICASSP 2012: 4213-4216 - [c14]Ngoc Thang Vu, Tanja Schultz, Daniel Povey:
Modeling gender dependency in the Subspace GMM framework. ICASSP 2012: 4345-4348 - [c13]Ngoc Thang Vu, Dau-Cheng Lyu, Jochen Weiner, Dominic Telaar, Tim Schlippe, Fabian Blaicher, Engsiong Chng, Tanja Schultz, Haizhou Li:
A first speech recognition system for Mandarin-English code-switch conversational speech. ICASSP 2012: 4889-4892 - [c12]Tim Schlippe, Sebastian Ochs, Ngoc Thang Vu, Tanja Schultz:
Automatic Error Recovery for Pronunciation Dictionaries. INTERSPEECH 2012: 2298-2301 - [c11]Ngoc Thang Vu, Wojtek Breiter, Florian Metze, Tanja Schultz:
Initialization Schemes for Multilayer Perceptron Training and their Impact on ASR Performance using Multilingual Data. INTERSPEECH 2012: 2586-2589 - [c10]Tim Schlippe, Edy Guevara Komgang Djomgang, Ngoc Thang Vu, Sebastian Ochs, Tanja Schultz:
Hausa large vocabulary continuous speech recognition. SLTU 2012: 11-14 - [c9]Jochen Weiner, Ngoc Thang Vu, Dominic Telaar, Florian Metze, Tanja Schultz, Dau-Cheng Lyu, Engsiong Chng, Haizhou Li:
Integration of language identification into a recognition system for spoken conversations containing code-Switches. SLTU 2012: 76-79 - [c8]Ngoc Thang Vu, Florian Metze, Tanja Schultz:
Multilingual bottle-neck features and its application for under-resourced languages. SLTU 2012: 90-93 - 2011
- [c7]Ngoc Thang Vu, Franziska Kraus, Tanja Schultz:
Cross-language bootstrapping based on completely unsupervised training using multilingual A-stabil. ICASSP 2011: 5000-5003 - [c6]Ngoc Thang Vu, Franziska Kraus, Tanja Schultz:
Rapid Building of an ASR System for Under-Resourced Languages Based on Multilingual Unsupervised Training. INTERSPEECH 2011: 3145-3148 - [c5]Lori Lamel, Sandrine Courcinous, Julien Despres, Jean-Luc Gauvain, Yvan Josse, Kevin Kilgour, Florian Kraft, Viet Bac Le, Hermann Ney, Markus Nußbaum-Thom, Ilya Oparin, Tim Schlippe, Ralf Schlüter, Tanja Schultz, Thiago Fraga-Silva, Sebastian Stüker, Martin Sundermeyer, Bianca Vieru, Ngoc Thang Vu, Alex Waibel, Cécile Woehrling:
Speech recognition for machine translation in Quaero. IWSLT 2011: 121-128 - 2010
- [c4]Ngoc Thang Vu, Tim Schlippe, Franziska Kraus, Tanja Schultz:
Rapid bootstrapping of five eastern european languages using the rapid language adaptation toolkit. INTERSPEECH 2010: 865-868 - [c3]Ngoc Thang Vu, Franziska Kraus, Tanja Schultz:
Multilingual a-stabil: A new confidence score for multilingual unsupervised training. SLT 2010: 183-188 - [c2]Ngoc Thang Vu, Tanja Schultz:
Optimization on Vietnamese large vocabulary speech recognition. SLTU 2010: 104-110
2000 – 2009
- 2009
- [c1]Ngoc Thang Vu, Tanja Schultz:
Vietnamese large vocabulary continuous speech recognition. ASRU 2009: 333-338
Coauthor Index
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