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ORCIDMichael Heck
Person information
- affiliation: Heinrich Heine University Düsseldorf, Germany
- affiliation: Nara Institute of Science and Technology, Graduate School of Information Science, Japan
- affiliation: Karlsruhe Institute of Technology (KIT), Institute of Anthropomatics, Germany
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2020 – today
- 2023
[c33]Michael Heck, Nurul Lubis, Benjamin Matthias Ruppik, Renato Vukovic, Shutong Feng, Christian Geishauser, Hsien-Chin Lin, Carel van Niekerk, Milica Gasic:
ChatGPT for Zero-shot Dialogue State Tracking: A Solution or an Opportunity? ACL (2) 2023: 936-950- [c32]Qi Zhu, Christian Geishauser, Hsien-Chin Lin, Carel van Niekerk, Baolin Peng, Zheng Zhang, Shutong Feng, Michael Heck, Nurul Lubis, Dazhen Wan, Xiaochen Zhu, Jianfeng Gao, Milica Gasic, Minlie Huang:
ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format. EMNLP (Demos) 2023: 106-123 - [c31]Shutong Feng, Nurul Lubis, Benjamin Matthias Ruppik, Christian Geishauser, Michael Heck, Hsien-Chin Lin, Carel van Niekerk, Renato Vukovic, Milica Gasic:
From Chatter to Matter: Addressing Critical Steps of Emotion Recognition Learning in Task-oriented Dialogue. SIGDIAL 2023: 85-103 - [c30]Hsien-Chin Lin
, Shutong Feng, Christian Geishauser, Nurul Lubis, Carel van Niekerk, Michael Heck, Benjamin Matthias Ruppik, Renato Vukovic, Milica Gasic:
EmoUS: Simulating User Emotions in Task-Oriented Dialogues. SIGIR 2023: 2526-2531 - [i18]Michael Heck, Nurul Lubis, Benjamin Matthias Ruppik, Renato Vukovic, Shutong Feng, Christian Geishauser, Hsien-Chin Lin, Carel van Niekerk, Milica Gasic:
ChatGPT for Zero-shot Dialogue State Tracking: A Solution or an Opportunity? CoRR abs/2306.01386 (2023) - [i17]Hsien-Chin Lin, Shutong Feng, Christian Geishauser, Nurul Lubis, Carel van Niekerk, Michael Heck, Benjamin Matthias Ruppik, Renato Vukovic, Milica Gasic:
EmoUS: Simulating User Emotions in Task-Oriented Dialogues. CoRR abs/2306.01579 (2023) - [i16]Shutong Feng, Nurul Lubis, Benjamin Matthias Ruppik, Christian Geishauser, Michael Heck, Hsien-Chin Lin, Carel van Niekerk, Renato Vukovic, Milica Gasic:
From Chatter to Matter: Addressing Critical Steps of Emotion Recognition Learning in Task-oriented Dialogue. CoRR abs/2308.12648 (2023) - [i15]Carel van Niekerk, Christian Geishauser, Michael Heck, Shutong Feng, Hsien-Chin Lin, Nurul Lubis, Benjamin Matthias Ruppik, Renato Vukovic, Milica Gasic:
CAMELL: Confidence-based Acquisition Model for Efficient Self-supervised Active Learning with Label Validation. CoRR abs/2310.08944 (2023) - 2022
- [j4]Michael Heck, Nurul Lubis, Carel van Niekerk, Shutong Feng, Christian Geishauser, Hsien-Chin Lin, Milica Gasic:
Robust Dialogue State Tracking with Weak Supervision and Sparse Data. Trans. Assoc. Comput. Linguistics 10: 1175-1192 (2022) - [c29]Christian Geishauser, Carel van Niekerk, Hsien-Chin Lin, Nurul Lubis, Michael Heck, Shutong Feng, Milica Gasic:
Dynamic Dialogue Policy for Continual Reinforcement Learning. COLING 2022: 266-284 - [c28]Shutong Feng, Nurul Lubis, Christian Geishauser, Hsien-Chin Lin, Michael Heck, Carel van Niekerk, Milica Gasic:
EmoWOZ: A Large-Scale Corpus and Labelling Scheme for Emotion Recognition in Task-Oriented Dialogue Systems. LREC 2022: 4096-4113 - [c27]Hsien-Chin Lin, Christian Geishauser, Shutong Feng, Nurul Lubis, Carel van Niekerk, Michael Heck, Milica Gasic:
GenTUS: Simulating User Behaviour and Language in Task-oriented Dialogues with Generative Transformers. SIGDIAL 2022: 270-282 - [c26]Nurul Lubis, Christian Geishauser, Hsien-Chin Lin, Carel van Niekerk, Michael Heck, Shutong Feng, Milica Gasic:
Dialogue Evaluation with Offline Reinforcement Learning. SIGDIAL 2022: 478-489 - [c25]Renato Vukovic, Michael Heck, Benjamin Matthias Ruppik, Carel van Niekerk, Marcus Zibrowius, Milica Gasic:
Dialogue Term Extraction using Transfer Learning and Topological Data Analysis. SIGDIAL 2022: 564-581 - [i14]Michael Heck, Nurul Lubis, Carel van Niekerk, Shutong Feng, Christian Geishauser, Hsien-Chin Lin, Milica Gasic:
Robust Dialogue State Tracking with Weak Supervision and Sparse Data. CoRR abs/2202.03354 (2022) - [i13]Christian Geishauser, Carel van Niekerk, Nurul Lubis, Michael Heck, Hsien-Chin Lin, Shutong Feng, Milica Gasic:
Dynamic Dialogue Policy Transformer for Continual Reinforcement Learning. CoRR abs/2204.05928 (2022) - [i12]Renato Vukovic, Michael Heck, Benjamin Matthias Ruppik, Carel van Niekerk, Marcus Zibrowius, Milica Gasic:
Dialogue Term Extraction using Transfer Learning and Topological Data Analysis. CoRR abs/2208.10448 (2022) - [i11]Hsien-Chin Lin, Christian Geishauser, Shutong Feng, Nurul Lubis, Carel van Niekerk, Michael Heck, Milica Gasic:
GenTUS: Simulating User Behaviour and Language in Task-oriented Dialogues with Generative Transformers. CoRR abs/2208.10817 (2022) - [i10]Nurul Lubis, Christian Geishauser, Hsien-Chin Lin, Carel van Niekerk, Michael Heck, Shutong Feng, Milica Gasic:
Dialogue Evaluation with Offline Reinforcement Learning. CoRR abs/2209.00876 (2022) - [i9]Qi Zhu, Christian Geishauser, Hsien-Chin Lin, Carel van Niekerk, Baolin Peng, Zheng Zhang, Michael Heck, Nurul Lubis, Dazhen Wan, Xiaochen Zhu, Jianfeng Gao, Milica Gasic, Minlie Huang:
ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format. CoRR abs/2211.17148 (2022) - 2021
- [c24]Christian Geishauser, Songbo Hu, Hsien-Chin Lin, Nurul Lubis, Michael Heck, Shutong Feng, Carel van Niekerk, Milica Gasic:
What does the User Want? Information Gain for Hierarchical Dialogue Policy Optimisation. ASRU 2021: 969-976 - [c23]Carel van Niekerk, Andrey Malinin, Christian Geishauser, Michael Heck, Hsien-Chin Lin, Nurul Lubis, Shutong Feng, Milica Gasic:
Uncertainty Measures in Neural Belief Tracking and the Effects on Dialogue Policy Performance. EMNLP (1) 2021: 7901-7914 - [c22]Hsien-Chin Lin, Nurul Lubis, Songbo Hu, Carel van Niekerk, Christian Geishauser, Michael Heck, Shutong Feng, Milica Gasic:
Domain-independent User Simulation with Transformers for Task-oriented Dialogue Systems. SIGDIAL 2021: 445-456 - [i8]Hsien-Chin Lin, Nurul Lubis, Songbo Hu, Carel van Niekerk, Christian Geishauser, Michael Heck, Shutong Feng, Milica Gasic:
Domain-independent User Simulation with Transformers for Task-oriented Dialogue Systems. CoRR abs/2106.08838 (2021) - [i7]Carel van Niekerk, Andrey Malinin, Christian Geishauser, Michael Heck, Hsien-Chin Lin, Nurul Lubis, Shutong Feng, Milica Gasic:
Uncertainty Measures in Neural Belief Tracking and the Effects on Dialogue Policy Performance. CoRR abs/2109.04349 (2021) - [i6]Shutong Feng, Nurul Lubis, Christian Geishauser, Hsien-Chin Lin, Michael Heck, Carel van Niekerk, Milica Gasic:
EmoWOZ: A Large-Scale Corpus and Labelling Scheme for Emotion in Task-Oriented Dialogue Systems. CoRR abs/2109.04919 (2021) - [i5]Christian Geishauser, Songbo Hu, Hsien-Chin Lin, Nurul Lubis, Michael Heck, Shutong Feng, Carel van Niekerk, Milica Gasic:
What Does The User Want? Information Gain for Hierarchical Dialogue Policy Optimisation. CoRR abs/2109.07129 (2021) - 2020
- [j3]Nurul Lubis, Michael Heck, Carel van Niekerk, Milica Gasic:
Adaptable Conversational Machines. AI Mag. 41(3): 28-44 (2020) - [c21]Nurul Lubis, Christian Geishauser, Michael Heck, Hsien-Chin Lin, Marco Moresi, Carel van Niekerk, Milica Gasic:
LAVA: Latent Action Spaces via Variational Auto-encoding for Dialogue Policy Optimization. COLING 2020: 465-479 - [c20]Michael Heck, Christian Geishauser, Hsien-Chin Lin, Nurul Lubis, Marco Moresi, Carel van Niekerk, Milica Gasic:
Out-of-Task Training for Dialog State Tracking Models. COLING 2020: 6767-6774 - [c19]Carel van Niekerk, Michael Heck, Christian Geishauser, Hsien-Chin Lin, Nurul Lubis, Marco Moresi, Milica Gasic:
Knowing What You Know: Calibrating Dialogue Belief State Distributions via Ensembles. EMNLP (Findings) 2020: 3096-3102 - [c18]Michael Heck, Carel van Niekerk, Nurul Lubis, Christian Geishauser, Hsien-Chin Lin, Marco Moresi, Milica Gasic:
TripPy: A Triple Copy Strategy for Value Independent Neural Dialog State Tracking. SIGdial 2020: 35-44 - [i4]Michael Heck, Carel van Niekerk, Nurul Lubis, Christian Geishauser, Hsien-Chin Lin, Marco Moresi, Milica Gasic:
TripPy: A Triple Copy Strategy for Value Independent Neural Dialog State Tracking. CoRR abs/2005.02877 (2020) - [i3]Carel van Niekerk, Michael Heck, Christian Geishauser, Hsien-Chin Lin, Nurul Lubis, Marco Moresi, Milica Gasic:
Knowing What You Know: Calibrating Dialogue Belief State Distributions via Ensembles. CoRR abs/2010.02586 (2020) - [i2]Nurul Lubis, Christian Geishauser, Michael Heck, Hsien-Chin Lin, Marco Moresi, Carel van Niekerk, Milica Gasic:
LAVA: Latent Action Spaces via Variational Auto-encoding for Dialogue Policy Optimization. CoRR abs/2011.09378 (2020) - [i1]Michael Heck, Carel van Niekerk, Nurul Lubis, Christian Geishauser, Hsien-Chin Lin, Marco Moresi, Milica Gasic:
Out-of-Task Training for Dialog State Tracking Models. CoRR abs/2011.09379 (2020)
2010 – 2019
- 2018
- [j2]Michael Heck, Sakriani Sakti, Satoshi Nakamura:
Learning Supervised Feature Transformations on Zero Resources for Improved Acoustic Unit Discovery. IEICE Trans. Inf. Syst. 101-D(1): 205-214 (2018) - [j1]Michael Heck, Sakriani Sakti, Satoshi Nakamura:
Dirichlet Process Mixture of Mixtures Model for Unsupervised Subword Modeling. IEEE ACM Trans. Audio Speech Lang. Process. 26(11): 2027-2042 (2018) - 2017
- [c17]Nurul Lubis, Michael Heck, Sakriani Sakti, Koichiro Yoshino, Satoshi Nakamura:
Processing negative emotions through social communication: Multimodal database construction and analysis. ACII 2017: 79-85 - [c16]Michael Heck, Sakriani Sakti, Satoshi Nakamura:
Feature optimized DPGMM clustering for unsupervised subword modeling: A contribution to zerospeech 2017. ASRU 2017: 740-746 - [c15]Michael Heck, Masayuki Suzuki, Takashi Fukuda, Gakuto Kurata, Satoshi Nakamura:
Ensembles of Multi-Scale VGG Acoustic Models. INTERSPEECH 2017: 1616-1620 - 2016
- [c14]Michael Heck, Sakriani Sakti, Satoshi Nakamura:
Supervised Learning of Acoustic Models in a Zero Resource Setting to Improve DPGMM Clustering. INTERSPEECH 2016: 1310-1314 - [c13]Michael Heck, Sakriani Sakti, Satoshi Nakamura:
Iterative training of a DPGMM-HMM acoustic unit recognizer in a zero resource scenario. SLT 2016: 57-63 - [c12]Michael Heck, Sakriani Sakti, Satoshi Nakamura:
Unsupervised Linear Discriminant Analysis for Supporting DPGMM Clustering in the Zero Resource Scenario. SLTU 2016: 73-79 - 2015
- [c11]Quoc Truong Do, Michael Heck, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura:
The NAIST ASR system for the 2015 Multi-Genre Broadcast challenge: On combination of deep learning systems using a rank-score function. ASRU 2015: 654-659 - [c10]Michael Heck, Quoc Truong Do, Sakriani Sakti, Graham Neubig, Satoshi Nakamura:
The NAIST English speech recognition system for IWSLT 2015. IWSLT (Evaluation Campaign) 2015 - 2014
- [c9]Kevin Kilgour, Michael Heck, Markus Müller, Matthias Sperber, Sebastian Stüker, Alex Waibel:
The 2014 KIT IWSLT speech-to-text systems for English, German and Italian. IWSLT (Evaluation Campaign) 2014 - 2013
- [c8]Michael Heck, Sebastian Stüker, Sakriani Sakti, Alex Waibel, Satoshi Nakamura:
Incremental unsupervised training for university lecture recognition. IWSLT 2013 - [c7]Kevin Kilgour, Christian Mohr, Michael Heck, Quoc Bao Nguyen, Van Huy Nguyen, Evgeniy Shin, Igor Tseyzer, Jonas Gehring, Markus Müller, Matthias Sperber, Sebastian Stüker, Alex Waibel:
The 2013 KIT IWSLT speech-to-text systems for German and English. IWSLT (Evaluation Campaign) 2013 - [c6]Michael Heck, Christian Mohr, Sebastian Stüker, Markus Müller, Kevin Kilgour, Jonas Gehring, Quoc Bao Nguyen, Van Huy Nguyen, Alex Waibel:
Segmentation of Telephone Speech Based on Speech and Non-speech Models. SPECOM 2013: 286-293 - 2012
- [c5]Michael Heck, Sebastian Stüker, Alex Waibel:
A hybrid phonotactic language identification system with an SVM back-end for simultaneous lecture translation. ICASSP 2012: 4857-4860 - [c4]Christian Saam, Christian Mohr, Kevin Kilgour, Michael Heck, Matthias Sperber, Keigo Kubo, Sebastian Stüker, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura, Alex Waibel:
The 2012 KIT and KIT-NAIST English ASR systems for the IWSLT evaluation. IWSLT 2012: 87-90 - [c3]Michael Heck, Keigo Kubo, Matthias Sperber, Sakriani Sakti, Sebastian Stüker, Christian Saam, Kevin Kilgour, Christian Mohr, Graham Neubig, Tomoki Toda, Satoshi Nakamura, Alex Waibel:
The KIT-NAIST (contrastive) English ASR system for IWSLT 2012. IWSLT 2012: 91-95 - 2010
- [c2]Jan Niehues, Mohammed Mediani, Teresa Herrmann, Michael Heck, Christian Herff, Alex Waibel:
The KIT translation system for IWSLT 2010. IWSLT 2010: 93-98 - [c1]Sebastian Stüker, Michael Heck, Katja Renner, Alex Waibel:
Spoken news queries over the world wide web. SSCS@MM 2010: 61-64
Coauthor Index
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last updated on 2024-04-25 02:06 CEST by the dblp team
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