papers
Publications (3)
cs.CL2024
A Bi-consolidating Model for Joint Relational Triple Extraction
Xiaocheng Luo, Yanping Chen, Ruixue Tang +3
Current methods to extract relational triples directly make a prediction based on a possible entity pair in a raw sentence without depending on entity recognition. The task suffers…
cs.CV2020
Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering
Ruixue Tang, Chao Ma, Wei Emma Zhang +2
Visual Question Answering (VQA) has achieved great success thanks to the fast development of deep neural networks (DNN). On the other hand, the data augmentation, as one of the maj…
cs.CV2020
Interpretable Neural Computation for Real-World Compositional Visual Question Answering
Ruixue Tang, Chao Ma
There are two main lines of research on visual question answering (VQA): compositional model with explicit multi-hop reasoning, and monolithic network with implicit reasoning in th…