11 citations · 17 across the 12 of their papers we have counts for
8 papers · 1 filter
Knowing-how & Knowing-that: A New Task for Machine Comprehension of User Manuals
Hongru Liang, Jia Liu, Weihong Du +4
The machine reading comprehension (MRC) of user manuals has huge potential in customer service. However, current methods have trouble answering complex questions. Therefore, we int…
AdaCoach: A Virtual Coach for Training Customer Service Agents
Shuang Peng, Shuai Zhu, Minghui Yang +5
With the development of online business, customer service agents gradually play a crucial role as an interface between the companies and their customers. Most companies spend a lot…
Utterance Rewriting with Contrastive Learning in Multi-turn Dialogue
Zhihao Wang, Tangjian Duan, Zihao Wang +3
Context modeling plays a significant role in building multi-turn dialogue systems. In order to make full use of context information, systems can use Incomplete Utterance Rewriting(…
Towards Generalized Models for Task-oriented Dialogue Modeling on Spoken Conversations
Ruijie Yan, Shuang Peng, Haitao Mi +7
Building robust and general dialogue models for spoken conversations is challenging due to the gap in distributions of spoken and written data. This paper presents our approach to…
A Dialogue-based Information Extraction System for Medical Insurance Assessment
Shuang Peng, Mengdi Zhou, Minghui Yang +6
In the Chinese medical insurance industry, the assessor's role is essential and requires significant efforts to converse with the claimant. This is a highly professional job that i…
R2D2: Recursive Transformer based on Differentiable Tree for Interpretable Hierarchical Language Modeling
Xiang Hu, Haitao Mi, Zujie Wen +4
Human language understanding operates at multiple levels of granularity (e.g., words, phrases, and sentences) with increasing levels of abstraction that can be hierarchically combi…
SeaD: End-to-end Text-to-SQL Generation with Schema-aware Denoising
Kuan Xu, Yongbo Wang, Yongliang Wang +2
In text-to-SQL task, seq-to-seq models often lead to sub-optimal performance due to limitations in their architecture. In this paper, we present a simple yet effective approach tha…
Interactive Question Clarification in Dialogue via Reinforcement Learning
Xiang Hu, Zujie Wen, Yafang Wang +2
Coping with ambiguous questions has been a perennial problem in real-world dialogue systems. Although clarification by asking questions is a common form of human interaction, it is…