Qinmin Hu
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Biomedical Text Mining and Ontologies, Information Retrieval and Search Behavior, Advanced Text Analysis Techniques
Most-Cited Works
- → SK-GCN: Modeling Syntax and Knowledge via Graph Convolutional Network for aspect-level sentiment classification(2020)204 cited
- → Deep Learning for Aspect-Level Sentiment Classification: Survey, Vision, and Challenges(2019)152 cited
- → MASAD: A large-scale dataset for multimodal aspect-based sentiment analysis(2021)86 cited
- → A bayesian learning approach to promoting diversity in ranking for biomedical information retrieval(2009)80 cited
- → Enhancing Recurrent Neural Networks with Positional Attention for Question Answering(2017)76 cited
- → Position-aware hierarchical transfer model for aspect-level sentiment classification(2019)60 cited
- → CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity(2018)47 cited
- → P-CNN: Enhancing text matching with positional convolutional neural network(2019)36 cited
- → Is position important? deep multi-task learning for aspect-based sentiment analysis(2020)30 cited
- → Stories That Big Danmaku Data Can Tell as a New Media(2019)30 cited