Towards spoken language understanding via multi-level multi-grained contrastive learning

X Cheng, W Xu, Z Zhu, H Li, Y Zou - Proceedings of the 32nd ACM …, 2023 - dl.acm.org
Spoken language understanding (SLU) is a core task in task-oriented dialogue systems,
which aims at understanding user's current goal through constructing semantic frames. SLU …

[PDF][PDF] Decoupling Breaks Data Barriers: A Decoupled Pre-training Framework for Multi-Intent Spoken Language Understanding

L Qin, Q Chen, J Zhou, Q Li, C Lu, W Che - Proceedings of the Thirty-Third …, 2024 - ijcai.org
Abstract Multi-intent Spoken Language Understanding (Multi-intent SLU) can extract
multiple intents in a single utterance, gaining increasing attention. Nevertheless, current …

Modeling Output-Level Task Relatedness in Multi-Task Learning with Feedback Mechanism

X **, F Gao, J Xu, F Guo, T ** - arxiv preprint arxiv:2404.00885, 2024 - arxiv.org
Multi-task learning (MTL) is a paradigm that simultaneously learns multiple tasks by sharing
information at different levels, enhancing the performance of each individual task. While …

NoiSLU: a Noisy speech corpus for Spoken Language Understanding in the Public Transport Domain

M Frohnmaier, S Freisinger, MF Holt… - … 2024, Tagungsband der …, 2024 - opus4.kobv.de
The use of local public transport requires the barrier-free purchase of a ticket. Travellers who
are not proficient in the local language benefit from a multilingual human (ticket) machine …