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RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering
In open-domain question answering, dense passage retrieval has become a new paradigm to retrieve relevant passages for finding answers. Expand
Sequential Recommendation with Self-Attentive Multi-Adversarial Network
We present a Multi-Factor Generative Adversarial Network (MFGAN) for explicitly modeling the effect of context information on sequential recommendation. Expand
Fine-Grained Privacy Detection with Graph-Regularized Hierarchical Attentive Representation Learning
- Xiaolin Chen, Xuemeng Song, Ruiyang Ren, Lei Zhu, Zhiyong Cheng, L. Nie
- Computer Science
- ACM Trans. Inf. Syst.
- 16 September 2020
We present a fine-grained privacy detection network (GrHA) equipped with graph convolutional networks to enhance the regularization for the UGC representation learning, and, hence, fulfil the practical task of privacy leakage detection. Expand