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 …
JPIS: A Joint Model for Profile-Based Intent Detection and Slot Filling with Slot-to-Intent Attention
Profile-based intent detection and slot filling are important tasks aimed at reducing the
ambiguity in user utterances by leveraging user-specific supporting profile information [1] …
ambiguity in user utterances by leveraging user-specific supporting profile information [1] …
Extracting explicit, implicit and contradictory information from chats in a Persian NLU engine
P Safari, M Shamsfard - 2024 - researchsquare.com
In this research, we present a Natural Language Understanding (NLU) component of an
open-domain chatbot designed to extract explicit and implicit personal information from user …
open-domain chatbot designed to extract explicit and implicit personal information from user …