Papers by Biing Juang

2 papers
A Label-Aware BERT Attention Network for Zero-Shot Multi-Intent Detection in Spoken Language Understanding (2021.emnlp-main)

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Challenge: Existing systems for speech-based dialogs have found the inadequacy of relying on simple classification techniques to accomplish the automation task.
Approach: They propose a Label-Aware BERT Attention Network (LABAN) for zero-shot multi-intent detection by encoding input utterances with BERT and building a label embedded space by considering embedded semantics in intent labels.
Outcome: The proposed approach can detect many unseen intent labels correctly on a few/zero-shot setting, and achieves state-of-the-art performance on five multi-intent datasets in normal cases.
Towards Zero-Shot Multilingual Transfer for Code-Switched Responses (2023.acl-long)

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Challenge: Recent task-oriented dialog systems have had great success building English-based personal assistants, but extending these systems to a global audience may take tremendous efforts.
Approach: They propose a framework that allows for efficient transfer by learning task-specific representations and encapsulating source and target language representations.
Outcome: The proposed framework is able to successfully transfer language knowledge even when the target language corpus is limited.

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