2019 ContextSensitiveMaliciousSpelli

• (Gong et al., 2019) ⇒ Hongyu Gong, Yuchen Li, Suma Bhat, and Pramod Viswanath. (2019). “Context-Sensitive Malicious Spelling Error Correction.” In: The World Wide Web Conference. ISBN:978-1-4503-6674-8 doi:10.1145/3308558.3313431

Subject Headings: Spelling Error Correction Task; Text Recognition Task; Neural Language Model; Natural Language Processing Task.

Cited By

• http://scholar.google.com/scholar?q=%222019%22+Context-Sensitive+Malicious+Spelling+Error+Correction
• http://dl.acm.org/citation.cfm?id=3308558.3313431&preflayout=flat#citedby

Quotes

Abstract

Misspelled words of the malicious kind work by changing specific keywords and are intended to thwart existing automated applications for cyber-environment control such as harassing content detection on the Internet and email spam detection. In this paper, we focus on malicious spelling correction, which requires an approach that relies on the context and the surface forms of targeted keywords. In the context of two applications-profanity detection and email spam detection-we show that malicious misspellings seriously degrade their performance. We then propose a context-sensitive approach for malicious spelling correction using word embeddings and demonstrate its superior performance compared to state-of-the-art spell checkers.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2019 ContextSensitiveMaliciousSpelli	Hongyu Gong Yuchen Li Suma Bhat Pramod Viswanath			Context-Sensitive Malicious Spelling Error Correction				10.1145/3308558.3313431		2019