Search Results for author: Tomek Strzalkowski

Found 28 papers, 3 papers with code

Figuratively Speaking: Authorship Attribution via Multi-Task Figurative Language Modeling

1 code implementation12 Jun 2024 Gregorios A Katsios, Ning Sa, Tomek Strzalkowski

Accordingly, we propose a Multi-task Figurative Language Model (MFLM) that learns to detect multiple FL features in text at once.

Authorship Attribution Language Modelling

Uncovering Agendas: A Novel French & English Dataset for Agenda Detection on Social Media

1 code implementation1 May 2024 Gregorios Katsios, Ning Sa, Ankita Bhaumik, Tomek Strzalkowski

The behavior and decision making of groups or communities can be dramatically influenced by individuals pushing particular agendas, e. g., to promote or disparage a person or an activity, to call for action, etc..

Decision Making Natural Language Inference

Social Convos: Capturing Agendas and Emotions on Social Media

no code implementations23 Feb 2024 Ankita Bhaumik, Ning Sa, Gregorios Katsios, Tomek Strzalkowski

Social media platforms are popular tools for disseminating targeted information during major public events like elections or pandemics.

Bergeron: Combating Adversarial Attacks through a Conscience-Based Alignment Framework

1 code implementation16 Nov 2023 Matthew Pisano, Peter Ly, Abraham Sanders, Bingsheng Yao, Dakuo Wang, Tomek Strzalkowski, Mei Si

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.

Towards a Progression-Aware Autonomous Dialogue Agent

no code implementations NAACL 2022 Abraham Sanders, Tomek Strzalkowski, Mei Si, Albert Chang, Deepanshu Dey, Jonas Braasch, Dakuo Wang

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.

Language Modelling

Generating Ethnographic Models from Communities' Online Data

no code implementations WS 2020 Tomek Strzalkowski, Anna Newheiser, Nathan Kemper, Ning Sa, Bharvee Acharya, Gregorios Katsios

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.

Email Threat Detection Using Distinct Neural Network Approaches

no code implementations LREC 2020 Esteban Castillo, Sreekar Dhaduvai, Peng Liu, Kartik-Singh Thakur, Adam Dalton, Tomek Strzalkowski

This paper describes different approaches to detect malicious content in email interactions through a combination of machine learning and natural language processing tools.

BIG-bench Machine Learning

Adaptation of a Lexical Organization for Social Engineering Detection and Response Generation

no code implementations LREC 2020 Archna Bhatia, Adam Dalton, Brodie Mather, Sashank Santhanam, Samira Shaikh, Alan Zemel, Tomek Strzalkowski, Bonnie J. Dorr

We present a paradigm for extensible lexicon development based on Lexical Conceptual Structure to support social engineering detection and response generation.

Response Generation

Detecting Asks in SE attacks: Impact of Linguistic and Structural Knowledge

no code implementations25 Feb 2020 Bonnie J. Dorr, Archna Bhatia, Adam Dalton, Brodie Mather, Bryanna Hebenstreit, Sashank Santhanam, Zhuo Cheng, Samira Shaikh, Alan Zemel, Tomek Strzalkowski

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 Validation of MRCPD Cross-language Expansions on Imageability Ratings

no code implementations LREC 2016 Ting Liu, Kit Cho, Tomek Strzalkowski, Samira Shaikh, Mehrdad Mirzaei

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).

valid

ANEW+: Automatic Expansion and Validation of Affective Norms of Words Lexicons in Multiple Languages

no code implementations LREC 2016 Samira Shaikh, Kit Cho, Tomek Strzalkowski, Laurie Feldman, John Lien, Ting Liu, George Aaron Broadwell

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.

Automatic Expansion of the MRC Psycholinguistic Database Imageability Ratings

no code implementations LREC 2014 Ting Liu, Kit Cho, G. Aaron Broadwell, Samira Shaikh, Tomek Strzalkowski, John Lien, Sarah Taylor, Laurie Feldman, Boris Yamrom, Nick Webb, Umit Boz, Ignacio Cases, Ching-Sheng Lin

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.

Extending the MPC corpus to Chinese and Urdu - A Multiparty Multi-Lingual Chat Corpus for Modeling Social Phenomena in Language

no code implementations LREC 2012 Ting Liu, Samira Shaikh, Tomek Strzalkowski, Aaron Broadwell, Jennifer Stromer-Galley, Sarah Taylor, Umit Boz, Xiaoai Ren, Jingsi Wu

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.

Revealing Contentious Concepts Across Social Groups

no code implementations LREC 2012 Ching-Sheng Lin, Zumrut Akcam, Samira Shaikh, Sharon Small, Ken Stahl, Tomek Strzalkowski, Nick Webb

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.

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