Quotation Recommendation for Multi-party Online Conversations Based on Semantic and Topic Fusion.

The article centers on developing an automatic quotation recommendation system for online conversations, emphasizing a fusion of semantic and topic-based modeling techniques. It explores the challenges in recommending relevant quotations, validates the topic-based recommendation approach, and conducts extensive experiments to analyze recommendation difficulty and stability.