Dialogue systems are becoming an ubiquitous presence in our everyday lives having a
huge impact on business and society. Spoken language understanding (SLU) is the critical …

Spoken Language Understanding (SLU), a core component of the task-oriented dialogue
system, expects a shorter inference latency due to the impatience of humans. Non …

Spoken language understanding (SLU), which is a core component of the task-oriented
dialogue system, has made substantial progress in the research of single-turn dialogue …

Spoken Language Understanding (SLU), a core component of the task-oriented dialogue
system, expects a shorter inference facing the impatience of human users. Existing work …

Cross-lingual dialogue systems are increasingly important in e-commerce and customer
service due to the rapid progress of globalization. In real-world system deployment, machine …

跨语言对话系统是当前国际研究的热点和难点. 在实际的应用系统搭建中,
通常需要翻译引擎作为不同语言之间对话的桥梁. 然而, 翻译引擎往往是基于不同训练样本构建 …

Multi-turn dialogue is challenging because semantic information is not only contained in the
current utterance, but also in the dialogue context. In fact, understanding multiturn dialogue …

The mainstream SLU models, such as SDEN, take the joint training way of slot filling and
intent detection because of their correlation and add contextual information to improve the …

Spoken language understanding (SLU) in multi-turn task-oriented dialogue systems usually
needs to take historical contextual information into account. To achieve this, current …