Nurul Lubis

According to our database, Nurul Lubis authored at least 36 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

CAMELL: Confidence-based Acquisition Model for Efficient Self-supervised Active Learning with Label Validation.

Carel van Niekerk, Christian Geishauser, Michael Heck, Shutong Feng, Hsien-Chin Lin, Nurul Lubis, Benjamin Matthias Ruppik, Renato Vukovic, Milica Gasic

CoRR, 2023

Affect Recognition in Conversations Using Large Language Models.

Shutong Feng, Guangzhi Sun, Nurul Lubis, Chao Zhang, Milica Gasic

CoRR, 2023

EmoUS: Simulating User Emotions in Task-Oriented Dialogues.

Hsien-Chin Lin, Shutong Feng, Christian Geishauser, Nurul Lubis, Carel van Niekerk, Michael Heck, Benjamin Matthias Ruppik, Renato Vukovic, Milica Gasic

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

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

Shutong Feng, Nurul Lubis, Benjamin Matthias Ruppik, Christian Geishauser, Michael Heck, Hsien-Chin Lin, Carel van Niekerk, Renato Vukovic, Milica Gasic

Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

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

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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

Michael Heck, Nurul Lubis, Benjamin Matthias Ruppik, Renato Vukovic, Shutong Feng, Christian Geishauser, Hsien-Chin Lin, Carel van Niekerk, Milica Gasic

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

Robust Dialogue State Tracking with Weak Supervision and Sparse Data.

Michael Heck, Nurul Lubis, Carel van Niekerk, Shutong Feng, Christian Geishauser, Hsien-Chin Lin, Milica Gasic

Trans. Assoc. Comput. Linguistics, 2022

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

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

CoRR, 2022

Dynamic Dialogue Policy Transformer for Continual Reinforcement Learning.

Christian Geishauser, Carel van Niekerk, Nurul Lubis, Michael Heck, Hsien-Chin Lin, Shutong Feng, Milica Gasic

CoRR, 2022

Dialogue Evaluation with Offline Reinforcement Learning.

Nurul Lubis, Christian Geishauser, Hsien-Chin Lin, Carel van Niekerk, Michael Heck, Shutong Feng, Milica Gasic

Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022

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

Hsien-Chin Lin, Christian Geishauser, Shutong Feng, Nurul Lubis, Carel van Niekerk, Michael Heck, Milica Gasic

Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022

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

Shutong Feng, Nurul Lubis, Christian Geishauser, Hsien-Chin Lin, Michael Heck, Carel van Niekerk, Milica Gasic

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Dynamic Dialogue Policy for Continual Reinforcement Learning.

Christian Geishauser, Carel van Niekerk, Hsien-Chin Lin, Nurul Lubis, Michael Heck, Shutong Feng, Milica Gasic

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

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

Shutong Feng, Nurul Lubis, Christian Geishauser, Hsien-Chin Lin, Michael Heck, Carel van Niekerk, Milica Gasic

CoRR, 2021

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

Hsien-Chin Lin, Nurul Lubis, Songbo Hu, Carel van Niekerk, Christian Geishauser, Michael Heck, Shutong Feng, Milica Gasic

Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

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

Carel van Niekerk, Andrey Malinin, Christian Geishauser, Michael Heck, Hsien-Chin Lin, Nurul Lubis, Shutong Feng, Milica Gasic

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

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

Christian Geishauser, Songbo Hu, Hsien-Chin Lin, Nurul Lubis, Michael Heck, Shutong Feng, Carel van Niekerk, Milica Gasic

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020

Adaptable Conversational Machines.

Nurul Lubis, Michael Heck, Carel van Niekerk, Milica Gasic

AI Mag., 2020

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

Michael Heck, Carel van Niekerk, Nurul Lubis, Christian Geishauser, Hsien-Chin Lin, Marco Moresi, Milica Gasic

Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2020

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

Carel van Niekerk, Michael Heck, Christian Geishauser, Hsien-Chin Lin, Nurul Lubis, Marco Moresi, Milica Gasic

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

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

Nurul Lubis, Christian Geishauser, Michael Heck, Hsien-Chin Lin, Marco Moresi, Carel van Niekerk, Milica Gasic

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Out-of-Task Training for Dialog State Tracking Models.

Michael Heck, Christian Geishauser, Hsien-Chin Lin, Nurul Lubis, Marco Moresi, Carel van Niekerk, Milica Gasic

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Positive Emotion Elicitation in Chat-Based Dialogue Systems.

Nurul Lubis, Sakriani Sakti, Koichiro Yoshino, Satoshi Nakamura

IEEE ACM Trans. Audio Speech Lang. Process., 2019

Spoken Dialogue Robot for Watching Daily Life of Elderly People.

Koichiro Yoshino, Yukitoshi Murase, Nurul Lubis, Kyoshiro Sugiyama, Hiroki Tanaka, Sakriani Sakti, Shinnosuke Takamichi, Satoshi Nakamura

Proceedings of the Increasing Naturalness and Flexibility in Spoken Dialogue Interaction, 2019

2018

Construction of Spontaneous Emotion Corpus from Indonesian TV Talk Shows and Its Application on Multimodal Emotion Recognition.

Nurul Lubis, Dessi Puji Lestari, Sakriani Sakti, Ayu Purwarianti, Satoshi Nakamura

IEICE Trans. Inf. Syst., 2018

Optimizing Neural Response Generator with Emotional Impact Information.

Nurul Lubis, Sakriani Sakti, Koichiro Yoshino, Satoshi Nakamura

Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

Unsupervised Counselor Dialogue Clustering for Positive Emotion Elicitation in Neural Dialogue System.

Nurul Lubis, Sakriani Sakti, Koichiro Yoshino, Satoshi Nakamura

Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue, 2018

Eliciting Positive Emotion through Affect-Sensitive Dialogue Response Generation: A Neural Network Approach.

Nurul Lubis, Sakriani Sakti, Koichiro Yoshino, Satoshi Nakamura

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Eliciting Positive Emotional Impact in Dialogue Response Selection.

Nurul Lubis, Sakriani Sakti, Koichiro Yoshino, Satoshi Nakamura

Proceedings of the Advanced Social Interaction with Agents, 2017

Processing negative emotions through social communication: Multimodal database construction and analysis.

Nurul Lubis, Michael Heck, Sakriani Sakti, Koichiro Yoshino, Satoshi Nakamura

Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction, 2017

2016

Construction of Japanese Audio-Visual Emotion Database and Its Application in Emotion Recognition.

Nurul Lubis, Randy Gomez, Sakriani Sakti, Keisuke Nakamura, Koichiro Yoshino, Satoshi Nakamura, Kazuhiro Nakadai

Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

2015

Construction and analysis of social-affective interaction corpus in English and Indonesian.

Nurul Lubis, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura

Proceedings of the 2015 International Conference Oriental COCOSDA held jointly with 2015 Conference on Asian Spoken Language Research and Evaluation (O-COCOSDA/CASLRE), 2015

A study of social-affective communication: Automatic prediction of emotion triggers and responses in television talk shows.

Nurul Lubis, Sakriani Sakti, Graham Neubig, Koichiro Yoshino, Tomoki Toda, Satoshi Nakamura

Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

2014

Emotion recognition on Indonesian television talk shows.

Nurul Lubis, Dessi Puji Lestari, Ayu Purwarianti, Sakriani Sakti, Satoshi Nakamura

Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014

Construction and analysis of Indonesian Emotional Speech Corpus.

Nurul Lubis, Dessi Puji Lestari, Ayu Purwarianti, Sakriani Sakti, Satoshi Nakamura

Proceedings of the 2014 17th Oriental Chapter of the International Committee for the Co-ordination and Standardization of Speech Databases and Assessment Techniques (COCOSDA), 2014

Emotion and Its Triggers in Human Spoken Dialogue: Recognition and Analysis.

Nurul Lubis, Sakriani Sakti, Graham Neubig, Tomoki Toda, Ayu Purwarianti, Satoshi Nakamura

Proceedings of the Situated Dialog in Speech-Based Human-Computer Interaction, 2014