3 papers
cs.IR2022
FORCE: A Framework of Rule-Based Conversational Recommender System
Jun Quan, Ze Wei, Qiang Gan +11
The conversational recommender systems (CRSs) have received extensive attention in recent years. However, most of the existing works focus on various deep learning models, which ar…
cs.CL2021
Integrating Pre-trained Model into Rule-based Dialogue Management
Jun Quan, Meng Yang, Qiang Gan +9
Rule-based dialogue management is still the most popular solution for industrial task-oriented dialogue systems for their interpretablility. However, it is hard for developers to m…
cs.CV2021
Metaknowledge Extraction Based on Multi-Modal Documents
Shukan Liu, Ruilin Xu, Boying Geng +3
The triple-based knowledge in large-scale knowledge bases is most likely lacking in structural logic and problematic of conducting knowledge hierarchy. In this paper, we introduce…