35 citations · 116 across the 18 of their papers we have counts for
8 papers · 1 filter
Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification
Libo Qin, Zhouyang Li, Wanxiang Che +2
In a dialog system, dialog act recognition and sentiment classification are two correlative tasks to capture speakers intentions, where dialog act and sentiment can indicate the ex…
Injecting Word Information with Multi-Level Word Adapter for Chinese Spoken Language Understanding
Dechuan Teng, Libo Qin, Wanxiang Che +2
In this paper, we improve Chinese spoken language understanding (SLU) by injecting word information. Previous studies on Chinese SLU do not consider the word information, failing t…
A Co-Interactive Transformer for Joint Slot Filling and Intent Detection
Libo Qin, Tailu Liu, Wanxiang Che +3
Intent detection and slot filling are two main tasks for building a spoken language understanding (SLU) system. The two tasks are closely related and the information of one task ca…
N-LTP: An Open-source Neural Language Technology Platform for Chinese
Wanxiang Che, Yunlong Feng, Libo Qin +1
We introduce \texttt{N-LTP}, an open-source neural language technology platform supporting six fundamental Chinese NLP tasks: {lexical analysis} (Chinese word segmentation, part-of…
DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification
Libo Qin, Wanxiang Che, Yangming Li +2
In dialog system, dialog act recognition and sentiment classification are two correlative tasks to capture speakers intentions, where dialog act and sentiment can indicate the expl…
Multi-Domain Spoken Language Understanding Using Domain- and Task-Aware Parameterization
Libo Qin, Minheng Ni, Yue Zhang +3
Spoken language understanding has been addressed as a supervised learning problem, where a set of training data is available for each domain. However, annotating data for each doma…