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1
From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and Domains ...
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2
Detecting Asks in SE attacks: Impact of Linguistic and Structural Knowledge ...
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 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2002.10931
https://arxiv.org/abs/2002.10931
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3
Adaptation of a Lexical Organization for Social Engineering Detection and Response Generation ...
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4
Statistical modality tagging from rule-based annotations and crowdsourcing ...
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5
Use of Modality and Negation in Semantically-Informed Syntactic MT ...
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6
A Modality Lexicon and its use in Automatic Tagging ...
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7
Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach ...
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8
Computing Lexical Contrast ...
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9
Use of Modality and Negation in Semantically-Informed Syntactic MT
In: DTIC (2012)
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10
Statistical Modality Tagging from Rule-based Annotations and Crowdsourcing
Prabhakaran, Vinodkumar; Bloodgood, Michael; Diab, Mona. - : Association for Computational Linguistics, 2012
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11
Use of Modality and Negation in Semantically-Informed Syntactic MT
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12
Citation Handling: Processing Citation Texts in Scientific Documents
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13
Measuring Degrees of Semantic Opposition ...
Mohammad, Saif M.; Dorr, Bonnie J.; Hirst, Graeme. - : National Research Council Canada, 2011
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14
Citation Handling for Improved Summarization of Scientific Documents
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15
Interlingual annotation of parallel text corpora: a new framework for annotation and evaluation
In: Natural language engineering. - Cambridge : Cambridge University Press 16 (2010) 3, 197-243
BLLDB
OLC Linguistik
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16
TER-Plus: paraphrase, semantic, and alignment enhancements to translation edit rate
In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 23 (2010) 2-3, 117-127
BLLDB
OLC Linguistik
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17
Symbolic-to-statistical hybridization: extending generation-heavy machine translation
In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 23 (2010) 1, 23-63
BLLDB
OLC Linguistik
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18
Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach ...
Baker, Kathryn; Bloodgood, Michael; Callison-Burch, Chris. - : Digital Repository at the University of Maryland, 2010
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19
The Circle of Meaning: From Translation to Paraphrasing and Back
Madnani, Nitin. - 2010
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20
Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach
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