A Multi-Aspect Neural Tensor Factorization Framework for Patent Litigation Prediction.
IEEE Trans. Big Data, February, 2024
Learning From Ideography and Labels: A Schema-Aware Radical-Guided Associative Model for Chinese Text Classification.
IEEE Trans. Knowl. Data Eng., June, 2023
Teaching Text Classification Models Some Common Sense via Q &A Statistics: A Light and Transplantable Approach.
Proceedings of the Natural Language Processing and Chinese Computing, 2022
Text Classification via Learning Semantic Dependency and Association.
Proceedings of the International Joint Conference on Neural Networks, 2022