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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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Citation Handling for Improved Summarization of Scientific Documents
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Measuring Variability in Sentence Ordering for News Summarization
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Challenges in Building an Arabic-English GHMT System with SMT Components
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Construction of a Chinese-English Verb Lexicon for Embedded Machine Translation in Cross-Language Information Retrieval
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Domain-Specific Term-List Expansion Using Existing Linguistic Resources
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Constraints on the Generation of Tense, Aspect, and Connecting Words from Temporal Expressions
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Handling Translation Divergences: Combining Statistical and Symbolic Techniques in Generation-Heavy Machine Translation
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Handling Translation Divergences in Generation-Heavy Hybrid Machine Translation
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Efficient Language Independent Generation from Lexical Conceptual Structures
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Lexical Resource Integration across the Syntax-Semantics Interface
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Mapping Lexical Entries in a Verbs Database to WordNet Senses
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Large Scale Language Independent Generation Using Thematic Hierarchies
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