Quantum-Inspired Density Matrix Encoder for Sexual Harassment Personal Stories Classification
Yan, Peng1,2; Li, Linjing1,3; Chen, Weiyun4; Zeng, Daniel1,3
2019-09-05
Conference Name2019 IEEE International Conference on Intelligence and Security Informatics (ISI)
Conference Date2019-7-1 ~ 2019-7-3
Conference PlaceShenzhen, China
Abstract

Nowadays, more and more sexual harassment personal stories have been shared on social media. To better monitor and analyze the extent of sexual harassment based on these social media data, we need to automatically categorize different forms of sexual harassment personal stories. Existing methods apply convolutional neural network (CNN) with different convolution window sizes to this text classification task. However, the previous CNN models do not provide an effective way to synthesize window size-related local representations, but simply concatenate all local representations together. To address this problem, we propose a new density matrix encoder, inspired by quantum mechanics, to encode local representations as particles in quantum state and generate a global representation as quantum mixed system for each story. Experiment on SafeCity dataset shows that our model outperforms CNN baseline and achieves better performance than the state-of-the-art model when considering both accuracy and speed, demonstrating the effectiveness of the proposed density matrix encoder.

DOI10.1109/ISI.2019.8823281
Indexed ByEI
Citation statistics
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/48816
Collection复杂系统管理与控制国家重点实验室_互联网大数据与信息安全
Corresponding AuthorLi, Linjing
Affiliation1.Institute of Automation, Chinese Academy of Sciences
2.School of Artificial Intelligence, University of Chinese Academy of Sciences
3.Shenzhen Artificial Intelligence and Data Science Institute (Longhua)
4.School of Management, Huazhong University of Science and Technology
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Yan, Peng,Li, Linjing,Chen, Weiyun,et al. Quantum-Inspired Density Matrix Encoder for Sexual Harassment Personal Stories Classification[C],2019.
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