Deqing Wang

Complementary Aspect-Based Opinion Mining

2017 · IEEE Transactions on Knowledge and Data Engineering

Aspect-based opinion mining is finding elaborate opinions towards a subject such as a product or an event. With explosive growth of opinionated texts on the Web, mining aspect-level opinions has become a promising means for …

Hierarchical Neural Topic Model with Embedding Cluster and Neural Variational Inference

2023 · Society for Industrial and Applied Mathematics eBooks

Compared to flat topic models, hierarchical topic models not only exploit inherent structural information in the corpus but detect better semantic topics with the help of hierarchy knowledge. Recently, Neural-Variational-Inference (NVI) based hierarchical neural topic …

Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph

2023

Recent years have witnessed the rapid development of heterogeneous graph neural networks (HGNNs) in information retrieval (IR) applications. Many existing HGNNs design a variety of tailor-made graph convolutions to capture structural and semantic information in …

Feature-level Deeper Self-Attention Network for Sequential Recommendation

2019

Sequential recommendation, which aims to recommend next item that the user will likely interact in a near future, has become essential in various Internet applications. Existing methods usually consider the transition patterns between items, but …

PromptBERT: Improving BERT Sentence Embeddings with Prompts

2022

Ting Jiang, Jian Jiao, Shaohan Huang, Zihan Zhang, Deqing Wang, Fuzhen Zhuang, Furu Wei, Haizhen Huang, Denvy Deng, Qi Zhang. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022.