32 citations · 63 across the 64 of their papers we have counts for
5 papers · 1 filter
PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational Mechanism
Yongkang Liu, Shi Feng, Daling Wang +2
We investigate response generation for multi-turn dialogue in generative-based chatbots. Existing generative models based on RNNs (Recurrent Neural Networks) usually employ the las…
Alleviating Sparsity of Open Knowledge Graphs with Ternary Contrastive Learning
Qian Li, Shafiq Joty, Daling Wang +2
Sparsity of formal knowledge and roughness of non-ontological construction make sparsity problem particularly prominent in Open Knowledge Graphs (OpenKGs). Due to sparse links, lea…
Few-shot Multimodal Sentiment Analysis based on Multimodal Probabilistic Fusion Prompts
Xiaocui Yang, Shi Feng, Daling Wang +2
Multimodal sentiment analysis has gained significant attention due to the proliferation of multimodal content on social media. However, existing studies in this area rely heavily o…
DialogConv: A Lightweight Fully Convolutional Network for Multi-view Response Selection
Yongkang Liu, Shi Feng, Wei Gao +2
Current end-to-end retrieval-based dialogue systems are mainly based on Recurrent Neural Networks or Transformers with attention mechanisms. Although promising results have been ac…
MulZDG: Multilingual Code-Switching Framework for Zero-shot Dialogue Generation
Yongkang Liu, Shi Feng, Daling Wang +1
Building dialogue generation systems in a zero-shot scenario remains a huge challenge, since the typical zero-shot approaches in dialogue generation rely heavily on large-scale pre…