@inproceedings{bhatia-etal-2020-adaptation,
title = "Adaptation of a Lexical Organization for Social Engineering Detection and Response Generation",
author = "Bhatia, Archna and
Dalton, Adam and
Mather, Brodie and
Santhanam, Sashank and
Shaikh, Samira and
Zemel, Alan and
Strzalkowski, Tomek and
Dorr, Bonnie J.",
editor = "Bhatia, Archna and
Shaikh, Samira",
booktitle = "Proceedings for the First International Workshop on Social Threats in Online Conversations: Understanding and Management",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.stoc-1.2",
pages = "9--14",
abstract = "We present a paradigm for extensible lexicon development based on Lexical Conceptual Structure to support social engineering detection and response generation. We leverage the central notions of ask (elicitation of behaviors such as providing access to money) and framing (risk/reward implied by the ask). We demonstrate improvements in ask/framing detection through refinements to our lexical organization and show that response generation qualitatively improves as ask/framing detection performance improves. The paradigm presents a systematic and efficient approach to resource adaptation for improved task-specific performance.",
language = "English",
ISBN = "979-10-95546-39-9",
}
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<abstract>We present a paradigm for extensible lexicon development based on Lexical Conceptual Structure to support social engineering detection and response generation. We leverage the central notions of ask (elicitation of behaviors such as providing access to money) and framing (risk/reward implied by the ask). We demonstrate improvements in ask/framing detection through refinements to our lexical organization and show that response generation qualitatively improves as ask/framing detection performance improves. The paradigm presents a systematic and efficient approach to resource adaptation for improved task-specific performance.</abstract>
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%0 Conference Proceedings
%T Adaptation of a Lexical Organization for Social Engineering Detection and Response Generation
%A Bhatia, Archna
%A Dalton, Adam
%A Mather, Brodie
%A Santhanam, Sashank
%A Shaikh, Samira
%A Zemel, Alan
%A Strzalkowski, Tomek
%A Dorr, Bonnie J.
%Y Bhatia, Archna
%Y Shaikh, Samira
%S Proceedings for the First International Workshop on Social Threats in Online Conversations: Understanding and Management
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-39-9
%G English
%F bhatia-etal-2020-adaptation
%X We present a paradigm for extensible lexicon development based on Lexical Conceptual Structure to support social engineering detection and response generation. We leverage the central notions of ask (elicitation of behaviors such as providing access to money) and framing (risk/reward implied by the ask). We demonstrate improvements in ask/framing detection through refinements to our lexical organization and show that response generation qualitatively improves as ask/framing detection performance improves. The paradigm presents a systematic and efficient approach to resource adaptation for improved task-specific performance.
%U https://aclanthology.org/2020.stoc-1.2
%P 9-14
Markdown (Informal)
[Adaptation of a Lexical Organization for Social Engineering Detection and Response Generation](https://aclanthology.org/2020.stoc-1.2) (Bhatia et al., STOC 2020)
ACL
- Archna Bhatia, Adam Dalton, Brodie Mather, Sashank Santhanam, Samira Shaikh, Alan Zemel, Tomek Strzalkowski, and Bonnie J. Dorr. 2020. Adaptation of a Lexical Organization for Social Engineering Detection and Response Generation. In Proceedings for the First International Workshop on Social Threats in Online Conversations: Understanding and Management, pages 9–14, Marseille, France. European Language Resources Association.