Open Access. Powered by Scholars. Published by Universities.®
- Discipline
Articles 1 - 2 of 2
Full-Text Articles in Entire DC Network
Carlos Ghosn: The Rise And Fall Of An Automobile Legend, Jochen Reb, Abhijeet K. Vadera, Sin Mei Cheah
Carlos Ghosn: The Rise And Fall Of An Automobile Legend, Jochen Reb, Abhijeet K. Vadera, Sin Mei Cheah
Research Collection Lee Kong Chian School Of Business
Was it politics, greed, or hubris that led to Carlos Ghosn's downfall? On December 29, 2019, disgraced auto titan Carlos Ghosn (rhymes with ‘tone’) made an audacious escape from house arrest in Tokyo, where he had been detained on financial impropriety charges. Of all the places imaginable, Ghosn hid in a huge case for musical instruments, which was then loaded onto an aeroplane as cargo. Dubbed as “one of the most brazen and well-orchestrated escape acts in recent history, involving a dizzying array of hotel meet-ups, bullet train travel, fake personas, and the chartering of a private jet”, it was …
Evidence Aware Neural Pornographic Text Identification For Child Protection, Kaisong Song, Yangyang Kang, Wei Gao, Zhe Gao, Changlong Sun, Xiaozhong Liu
Evidence Aware Neural Pornographic Text Identification For Child Protection, Kaisong Song, Yangyang Kang, Wei Gao, Zhe Gao, Changlong Sun, Xiaozhong Liu
Research Collection School Of Computing and Information Systems
Identifying pornographic text online is practically useful to protect children from access to such adult content. However, some authors may intentionally avoid using sensitive words in their pornographic texts to take advantage of the lack of human audits. Without prior knowledge guidance, real semantics of such pornographic text is difficult to understand by existing methods due to its high context-sensitivity and heavy usage of figurative language, which brings huge challenges to the porn detection systems used in social media platforms. In this paper, we approach to the problem as a document-level porn identification task by locating and integrating sentence-level evidence …