Stop the war!Остановите войну!
for scientists:
Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDNgoc Thang Vu
Person information
- affiliation: University of Stuttgart, Institute for Natural Language Processing, Germany
- affiliation: University of Munich, Center for Information and Language Processing, Germany
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[j4]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)- [c101]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 - [c100]Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, Vishrav Chaudhary, Luis Chiruzzo, Angela Fan, John Ortega, Ricardo Ramos, Annette Rios, Ivan Vladimir Meza Ruiz, Gustavo Giménez Lugo, Elisabeth Mager, Graham Neubig, Alexis Palmer, Rolando A. 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 - [c99]Florian Lux, Ngoc Thang Vu:
Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with Articulatory Features. ACL (1) 2022: 6858-6868 - [i53]Hendrik Schuff, Alon Jacovi, Heike Adel, Yoav Goldberg, Ngoc Thang Vu:
Human Interpretation of Saliency-based Explanation Over Text. CoRR abs/2201.11569 (2022) - [i52]Florian Lux, Ngoc Thang Vu:
Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with Articulatory Features. CoRR abs/2203.03191 (2022) - [i51]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) - [i50]Hung-yi Lee, Shang-Wen Li, Ngoc Thang Vu:
Meta Learning for Natural Language Processing: A Survey. CoRR abs/2205.01500 (2022) - 2021
- [c98]Chia-Yu Li, Ngoc Thang Vu:
Improving Speech Recognition on Noisy Speech via Speech Enhancement with Multi-Discriminators CycleGAN. ASRU 2021: 830-836 - [c97]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 - [c96]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 - [c95]Cennet Oguz, Ngoc Thang Vu:
Few-shot Learning for Slot Tagging with Attentive Relational Network. EACL 2021: 1566-1572 - [c94]Dirk Väth, Pascal Tilli, Ngoc Thang Vu:
Beyond Accuracy: A Consolidated Tool for Visual Question Answering Benchmarking. EMNLP (Demos) 2021: 114-123 - [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 - [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 Ortega, Ricardo Ramos, Annette Rios, Ivan Vladimir, Gustavo A. Giménez-Lugo, Elisabeth Mager, Graham Neubig, Alexis Palmer, Rolando A. 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]