Abigail Swenor

I’m a technology and research professional with a strong foundation in computer science and a career focus on communication, coordination, research, and human-centered problem solving. My background includes graduate-level machine learning research applying computational methods to humanities-focused questions, as well as experience working across technical and non-technical environments where collaboration and clear communication are essential.

Publications & Projects

  • Using Random Perturbations to Mitigate Adversarial Attacks on Sentiment Analysis Models

    International Conference of Natural Language Processing (ICON) 2021

  • Tesserae

    Ongoing collaboration with the University of Buffalo

  • EvaLatin 2024 Submission

    Submission for the emotion polarity task of the EvaLatin campaign of LT4HALA at LREC-COLING 2024 in Turin, Italy

  • Story Grammar Semantic Matching

    A new method for performing semantic matching for literary texts that utilizes story grammars and story elements to compare passages

  • BeLLuM: Benchmark for Latin Language Models

    Ongoing work to design and create the first comprehensive benchmark for Latin language models