3 citations · 8 across the 5 of their papers we have counts for
5 papers
NER-to-MRC: Named-Entity Recognition Completely Solving as Machine Reading Comprehension
Yuxiang Zhang, Junjie Wang, Xinyu Zhu +2
Named-entity recognition (NER) detects texts with predefined semantic labels and is an essential building block for natural language processing (NLP). Notably, recent NER research…
Dark patterns in e-commerce: a dataset and its baseline evaluations
Yuki Yada, Jiaying Feng, Tsuneo Matsumoto +3
Dark patterns, which are user interface designs in online services, induce users to take unintended actions. Recently, dark patterns have been raised as an issue of privacy and fai…
Construction of Differentially Private Summaries over Fully Homomorphic Encryption
S. Ushiyama, T. Takahashi, M. Kudo +1
Cloud computing has garnered attention as a platform of query processing systems. However, data privacy leakage is a critical problem. Chowdhury et al. proposed Crypt(epsilon), whi…
Topological Measurement of Deep Neural Networks Using Persistent Homology
Satoru Watanabe, Hayato Yamana
The inner representation of deep neural networks (DNNs) is indecipherable, which makes it difficult to tune DNN models, control their training process, and interpret their outputs.…
Highly Accurate CNN Inference Using Approximate Activation Functions over Homomorphic Encryption
Takumi Ishiyama, Takuya Suzuki, Hayato Yamana
In the big data era, cloud-based machine learning as a service (MLaaS) has attracted considerable attention. However, when handling sensitive data, such as financial and medical da…