Dynamic dialogue modelling

Informazioni relative al progetto

DYMO

ID dell’accordo di sovvenzione: 804636

DOI

10.3030/804636

Data della firma CE 24 Ottobre 2018

Data di avvio 1 Settembre 2019

Data di completamento 31 Gennaio 2026

Finanziato da

• EXCELLENT SCIENCE - European Research Council (ERC)

Costo totale

€ 1 499 956,00

Contributo UE

€ 1 499 956,00

Coordinato da

HEINRICH-HEINE-UNIVERSITAET DUESSELDORF
Germany

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Pubblicazioni

Conference proceedings (19)

Uncertainty Measures in Neural Belief Tracking and the Effects on Dialogue Policy Performance

Autori: Carel van Niekerk, Andrey Malinin, Christian Geishauser, Michael Heck, Hsien-chin Lin, Nurul Lubis, Shutong Feng and Milica Gašic
Pubblicato in: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021, Pagina/e 7901–7914
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2021.emnlp-main.623

LAVA: Latent Action Spaces via Variational Auto-encoding for Dialogue Policy Optimization

Autori: N. Lubis, C. Geishauser, M. Heck, H-C. Lin, M. Moresi, C. van Niekerk, M. Gašić
Pubblicato in: Proceedings of the 28th International Conference on Computational Linguistics (COLING), 2020, Pagina/e 465–479
Editore: International Committee on Computational Linguistics
DOI: 10.18653/v1/2020.coling-main.41

Dialogue Term Extraction using Transfer Learning and Topological Data Analysis

Autori: Renato Vukovic, Michael Heck, Benjamin Ruppik, Carel van Niekerk, Marcus Zibrowius, Milica Gasic
Pubblicato in: 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022
Editore: Association for Computational Linguistics (ACL)
DOI: 10.5281/zenodo.6858565

Dialogue Evaluation with Offline Reinforcement Learning

Autori: Nurul Lubis, Christian Geishauser, Hsien-Chin Lin, Carel van Niekerk, Michael Heck, Shutong Feng, Milica Gasic
Pubblicato in: 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022
Editore: Association for Computational Linguistics (ACL)
DOI: 10.48550/arxiv.2209.00876

ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format

Autori: 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
Pubblicato in: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2023
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2023.emnlp-demo.9

Robust Dialogue State Tracking with Weak Supervision and Sparse Data

Autori: Michael Heck, Nurul Lubis, Carel van Niekerk, Shutong Feng, Christian Geishauser, Hsien-Chin Lin, Milica Gasic
Pubblicato in: Transactions of the Association for Computational Linguistics, 2022
Editore: MIT Press
DOI: 10.1162/tacl_a_00513

Actor-Double-Critic: Incorporating Model-Based Critic for Task-Oriented Dialogue Systems

Autori: Y.-C. Wu, B.-H. Tseng, M. Gašić
Pubblicato in: Findings of EMNLP 2020, 2020, Pagina/e 854–863
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2020.findings-emnlp.75

EmoWOZ: A Large-Scale Corpus and Labelling Scheme for Emotion Recognition in Task-Oriented Dialogue Systems

Autori: Feng, Shutong; Lubis, Nurul; Geishauser, Christian; Lin, Hsien-chin; Heck, Michael; van Niekerk, Carel; Gašić, Milica
Pubblicato in: Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022), Numero 1, 2022, Pagina/e 4096–4113
Editore: European Language Resources Association (ELRA)
DOI: 10.48550/arxiv.2109.04919

Knowing What You Know: Calibrating Dialogue Belief State Distributions via Ensembles

Autori: Carel van Niekerk, Michael Heck, Christian Geishauser, Hsien-chin Lin, Nurul Lubis, Marco Moresi, Milica Gasic
Pubblicato in: Findings of the Association for Computational Linguistics: EMNLP 2020, 2020, Pagina/e 3096-3102
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2020.findings-emnlp.277

ChatGPT for Zero-shot Dialogue State Tracking: A Solution or an Opportunity?

Autori: Michael Heck, Nurul Lubis, Benjamin Ruppik, Renato Vukovic, Shutong Feng, Christian Geishauser, Hsien-chin Lin, Carel van Niekerk, Milica Gasic
Pubblicato in: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2023.acl-short.81

Out-of-Task Training for Dialog State Tracking Models

Autori: M. Heck, C. Geishauser, H-C. Lin, N. Lubis, M. Moresi, C. van Niekerk, M. Gašić
Pubblicato in: COLING 2020, 2020, Pagina/e 6767–6774
Editore: International Committee on Computational Linguistics
DOI: 10.18653/v1/2020.coling-main.596

What does the User Want? Information Gain for Hierarchical Dialogue Policy Optimisation

Autori: C. Geishauser, S. Hu, H. Lin, N. Lubis, M. Heck, S. Feng, C. van Niekerk, M. Gasic
Pubblicato in: IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2021
Editore: IEEE
DOI: 10.1109/asru51503.2021.9687856

From Chatter to Matter: Addressing Critical Steps of Emotion Recognition Learning in Task-oriented Dialogue

Autori: Shutong Feng, Nurul Lubis, Benjamin Ruppik, Christian Geishauser, Michael Heck, Hsien-chin Lin, Carel van Niekerk, Renato Vukovic, Milica Gasic
Pubblicato in: Proceedings of the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2023
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2023.sigdial-1.8

GenTUS: Simulating User Behaviour and Language in Task-oriented Dialogues with Generative Transformers

Autori: Hsien-Chin Lin, Christian Geishauser, Shutong Feng, Nurul Lubis, Carel van Niekerk, Michael Heck and Milica Gasic
Pubblicato in: 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022
Editore: The Association for Computational Linguistics (ACL)
DOI: 10.48550/arxiv.2208.10817

EmoUS: Simulating User Emotions in Task-Oriented Dialogues

Autori: Hsien-Chin Lin, Shutong Feng, Christian Geishauser, Nurul Lubis, Carel van Niekerk, Michael Heck, Benjamin Ruppik, Renato Vukovic, Milica Gasić
Pubblicato in: SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Editore: Association for Computing Machinery
DOI: 10.1145/3539618.3592092

Dynamic Dialogue Policy for Continual Reinforcement Learning

Autori: Christian Geishauser, Carel van Niekerk, Nurul Lubis, Michael Heck, Hsien-Chin Lin, Shutong Feng, Milica Gasic
Pubblicato in: The 29th International Conference on Computational Linguistics (COLING), 2022
Editore: International Committee on Computational Linguistics
DOI: 10.48550/arxiv.2204.05928

Topology of Word Embeddings: Singularities Reflect Polysemy

Autori: A. Jakubowski, M. Gašić, M. Zibrowius
Pubblicato in: *SEM 2020, 2020
Editore: Association for Computational Linguistics
DOI: 10.48550/arxiv.2011.09413

TripPy: A Triple Copy Strategy for Value Independent Neural Dialog State Tracking

Autori: M. Heck, C. van Niekerk, N. Lubis, C. Geishauser, H-C. Lin, M. Moresi, M. Gašić
Pubblicato in: Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)), 2020, Pagina/e 35–44
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2020.sigdial-1.4

Domain-independent User Simulation with Transformers for Task-oriented Dialogue Systems

Autori: Lin, Hsien-chin; Lubis, Nurul; Hu, Songbo; van Niekerk, Carel; Geishauser, Christian; Heck, Michael; Feng, Shutong; Gašić, Milica
Pubblicato in: Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), 2021, Pagina/e 445–456
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2021.sigdial-1.47

Peer reviewed articles (1)

Learning with an Open Horizon in Ever-Changing Dialogue Circumstances

Autori: Christian Geishauser; Carel van Niekerk; Nurul Lubis; Hsien-chin Lin; Michael Heck; Shutong Feng; Benjamin Ruppik; Renato Vukovic; Milica Gasic
Pubblicato in: IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024, ISSN 2329-9290
Editore: IEEE Advancing Technology for Humanity
DOI: 10.1109/taslp.2024.3385289