Can chatgpt detect intent? evaluating large language models for spoken language understanding
Recently, large pretrained language models have demonstrated strong language
understanding capabilities. This is particularly reflected in their zero-shot and in-context …
understanding capabilities. This is particularly reflected in their zero-shot and in-context …
MoE-SLU: Towards ASR-Robust Spoken Language Understanding via Mixture-of-Experts
X Cheng, Z Zhu, X Zhuang, Z Chen… - Findings of the …, 2024 - aclanthology.org
As a crucial task in the task-oriented dialogue systems, spoken language understanding
(SLU) has garnered increasing attention. However, errors from automatic speech …
(SLU) has garnered increasing attention. However, errors from automatic speech …
[PDF][PDF] Decoupling Breaks Data Barriers: A Decoupled Pre-training Framework for Multi-Intent Spoken Language Understanding
Abstract Multi-intent Spoken Language Understanding (Multi-intent SLU) can extract
multiple intents in a single utterance, gaining increasing attention. Nevertheless, current …
multiple intents in a single utterance, gaining increasing attention. Nevertheless, current …
Promoting Unified Generative Framework with Descriptive Prompts for Joint Multi-Intent Detection and Slot Filling
Natural language understanding is a crucial aspect of task-oriented dialogue systems,
encompassing intent detection (ID) and slot filling (SF). Conventional approaches for ID and …
encompassing intent detection (ID) and slot filling (SF). Conventional approaches for ID and …
Unraveling Intricacies: A Decomposition Approach for Few-Shot Multi-Intent Spoken Language Understanding
Few-shot multi-intent spoken language understanding (SLU) aims to detect user's multiple
intents and key slots using a tiny amount of annotated data. Prevailing multi-intent SLU …
intents and key slots using a tiny amount of annotated data. Prevailing multi-intent SLU …