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Found 26 papers, 1 papers with code
Revealing Contentious Concepts Across Social Groups
The hypothesis of this work is that there are communities or groups which can be characterized by a network of concepts and the corresponding valuations of those concepts that are agreed upon by the members of the community.
Extending the MPC corpus to Chinese and Urdu - A Multiparty Multi-Lingual Chat Corpus for Modeling Social Phenomena in Language
In this paper, we report our efforts in building a multi-lingual multi-party online chat corpus in order to develop a firm understanding in a set of social constructs such as agenda control, influence, and leadership as well as to computationally model such constructs in online interactions.
A Multi-Cultural Repository of Automatically Discovered Linguistic and Conceptual Metaphors
Researchers in the field can use this resource as a reference of typical metaphors used across these cultures.
Automatic Expansion of the MRC Psycholinguistic Database Imageability Ratings
Unfortunately, word imageability ratings were collected for only a limited number of words: 9, 240 words in English, 6, 233 in Spanish; and are unavailable at all in the other two languages studied: Russian and Farsi.
The Validation of MRCPD Cross-language Expansions on Imageability Ratings
In this article, we present a method to validate a multi-lingual (English, Spanish, Russian, and Farsi) corpus on imageability ratings automatically expanded from MRCPD (Liu et al., 2014).
ANEW+: Automatic Expansion and Validation of Affective Norms of Words Lexicons in Multiple Languages
The main contributions of this work are: 1) A general method for expansion and creation of lexicons with scores of words on psychological constructs such as valence, arousal or dominance; and 2) a procedure for ensuring validity of the newly constructed resources.
Detecting Asks in SE attacks: Impact of Linguistic and Structural Knowledge
Social engineers attempt to manipulate users into undertaking actions such as downloading malware by clicking links or providing access to money or sensitive information.
The Panacea Threat Intelligence and Active Defense Platform
We describe Panacea, a system that supports natural language processing (NLP) components for active defenses against social engineering attacks.
Adaptation of a Lexical Organization for Social Engineering Detection and Response Generation
We present a paradigm for extensible lexicon development based on Lexical Conceptual Structure to support social engineering detection and response generation.
Active Defense Against Social Engineering: The Case for Human Language Technology
We describe a system that supports natural language processing (NLP) components for active defenses against social engineering attacks.
Email Threat Detection Using Distinct Neural Network Approaches
This paper describes different approaches to detect malicious content in email interactions through a combination of machine learning and natural language processing tools.
Generating Ethnographic Models from Communities' Online Data
In this paper we describe computational ethnography study to demonstrate how machine learning techniques can be utilized to exploit bias resident in language data produced by communities with online presence.
Learning to Plan and Realize Separately for Open-Ended Dialogue Systems
Achieving true human-like ability to conduct a conversation remains an elusive goal for open-ended dialogue systems.
Towards a Progression-Aware Autonomous Dialogue Agent
Recent advances in large-scale language modeling and generation have enabled the creation of dialogue agents that exhibit human-like responses in a wide range of conversational scenarios spanning a diverse set of tasks, from general chit-chat to focused goal-oriented discourse.
Bergeron: Combating Adversarial Attacks through a Conscience-Based Alignment Framework
To help mitigate this issue, we introduce Bergeron: a framework designed to improve the robustness of LLMs against attacks without any additional parameter fine-tuning.
Social Convos: Capturing Agendas and Emotions on Social Media
Social media platforms are popular tools for disseminating targeted information during major public events like elections or pandemics.
BeSt: The Belief and Sentiment Corpus
We present the BeSt corpus, which records cognitive state: who believes what (i. e., factuality), and who has what sentiment towards what.
