Search Results for author: Hsien-Chin Lin

Found 17 papers, 3 papers with code

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

no code implementations13 Oct 2023 Carel van Niekerk, Christian Geishauser, Michael Heck, Shutong Feng, Hsien-Chin Lin, Nurul Lubis, Benjamin Ruppik, Renato Vukovic, Milica Gašić

Supervised neural approaches are hindered by their dependence on large, meticulously annotated datasets, a requirement that is particularly cumbersome for sequential tasks.

Active Learning

EmoUS: Simulating User Emotions in Task-Oriented Dialogues

no code implementations2 Jun 2023 Hsien-Chin Lin, Shutong Feng, Christian Geishauser, Nurul Lubis, Carel van Niekerk, Michael Heck, Benjamin Ruppik, Renato Vukovic, Milica Gašić

Existing user simulators (USs) for task-oriented dialogue systems only model user behaviour on semantic and natural language levels without considering the user persona and emotions.

Language Modelling Large Language Model +1

Robust Dialogue State Tracking with Weak Supervision and Sparse Data

no code implementations7 Feb 2022 Michael Heck, Nurul Lubis, Carel van Niekerk, Shutong Feng, Christian Geishauser, Hsien-Chin Lin, Milica Gašić

Our architecture and training strategies improve robustness towards sample sparsity, new concepts and topics, leading to state-of-the-art performance on a range of benchmarks.

Dialogue State Tracking

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

1 code implementation COLING 2020 Nurul Lubis, Christian Geishauser, Michael Heck, Hsien-Chin Lin, Marco Moresi, Carel van Niekerk, Milica Gašić

In this paper, we explore three ways of leveraging an auxiliary task to shape the latent variable distribution: via pre-training, to obtain an informed prior, and via multitask learning.

Decision Making Reinforcement Learning (RL) +1

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