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From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and Domains ...
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Detecting Asks in SE attacks: Impact of Linguistic and Structural Knowledge ...
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Dorr, Bonnie J.; Bhatia, Archna; Dalton, Adam; Mather, Brodie; Hebenstreit, Bryanna; Santhanam, Sashank; Cheng, Zhuo; Shaikh, Samira; Zemel, Alan; Strzalkowski, Tomek. - : arXiv, 2020
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Abstract:
Social engineers attempt to manipulate users into undertaking actions such as downloading malware by clicking links or providing access to money or sensitive information. Natural language processing, computational sociolinguistics, and media-specific structural clues provide a means for detecting both the ask (e.g., buy gift card) and the risk/reward implied by the ask, which we call framing (e.g., lose your job, get a raise). We apply linguistic resources such as Lexical Conceptual Structure to tackle ask detection and also leverage structural clues such as links and their proximity to identified asks to improve confidence in our results. Our experiments indicate that the performance of ask detection, framing detection, and identification of the top ask is improved by linguistically motivated classes coupled with structural clues such as links. Our approach is implemented in a system that informs users about social engineering risk situations. ... : Accepted at AAAI 2020 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2002.10931 https://arxiv.org/abs/2002.10931
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Adaptation of a Lexical Organization for Social Engineering Detection and Response Generation ...
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Statistical modality tagging from rule-based annotations and crowdsourcing ...
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Use of Modality and Negation in Semantically-Informed Syntactic MT ...
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Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach ...
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Use of Modality and Negation in Semantically-Informed Syntactic MT
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In: DTIC (2012)
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Statistical Modality Tagging from Rule-based Annotations and Crowdsourcing
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Use of Modality and Negation in Semantically-Informed Syntactic MT
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Citation Handling: Processing Citation Texts in Scientific Documents
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Citation Handling for Improved Summarization of Scientific Documents
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Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach ...
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The Circle of Meaning: From Translation to Paraphrasing and Back
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Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach
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