Abstract
Corpus has played an important role in most of research fields, especially in natural language processing. Some research demos provided detailed corpus content to highlight the contribution they have made, while overlook the security of corpus. In this paper, we explore content leakage resulted from the content display through a crawler. A website for displaying corpus is selected to be crawled by a simply crawler algorithm with some strategies we present. It is estimated that over 85% of the corpus can be downloaded, which means a substantial threaten to its IP right. Finally, we discuss the protection measures for content display, and give some valid suggestions for information content protection in technology and law.
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Acknowledgments
The work of this paper is funded by the project of National Natural Science Foundation of China (No. 2017YFB1002102) and the project of National key research and development program of China (No. 91520204).
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Ma, J., Yang, M., Wang, H., Zhu, C., Xu, B. (2018). A Study on Corpus Content Display and IP Protection. In: Zhou, Q., Miao, Q., Wang, H., Xie, W., Wang, Y., Lu, Z. (eds) Data Science. ICPCSEE 2018. Communications in Computer and Information Science, vol 902. Springer, Singapore. https://doi.org/10.1007/978-981-13-2206-8_10
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DOI: https://doi.org/10.1007/978-981-13-2206-8_10
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