2 citations · 4 across the 6 of their papers we have counts for
7 papers
Gated Mechanism Enhanced Multi-Task Learning for Dialog Routing
Ziming Huang, Zhuoxuan Jiang, Ke Wang +3
Currently, human-bot symbiosis dialog systems, e.g., pre- and after-sales in E-commerce, are ubiquitous, and the dialog routing component is essential to improve the overall effici…
Leveraging Key Information Modeling to Improve Less-Data Constrained News Headline Generation via Duality Fine-Tuning
Zhuoxuan Jiang, Lingfeng Qiao, Di Yin +2
Recent language generative models are mostly trained on large-scale datasets, while in some real scenarios, the training datasets are often expensive to obtain and would be small-s…
OS-MSL: One Stage Multimodal Sequential Link Framework for Scene Segmentation and Classification
Ye Liu, Lingfeng Qiao, Di Yin +4
Scene segmentation and classification (SSC) serve as a critical step towards the field of video structuring analysis. Intuitively, jointly learning of these two tasks can promote e…
RAAT: Relation-Augmented Attention Transformer for Relation Modeling in Document-Level Event Extraction
Yuan Liang, Zhuoxuan Jiang, Di Yin +1
In document-level event extraction (DEE) task, event arguments always scatter across sentences (across-sentence issue) and multiple events may lie in one document (multi-event issu…
Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation
Sanshi Yu, Zhuoxuan Jiang, Dong-Dong Chen +4
Recently, a new form of online shopping becomes more and more popular, which combines live streaming with E-Commerce activity. The streamers introduce products and interact with th…
DialogAct2Vec: Towards End-to-End Dialogue Agent by Multi-Task Representation Learning
Zhuoxuan Jiang, Ziming Huang, Dong Sheng Li +1
In end-to-end dialogue modeling and agent learning, it is important to (1) effectively learn knowledge from data, and (2) fully utilize heterogeneous information, e.g., dialogue ac…