Abigail Swenor
I’m a technology and research professional with a strong foundation in Computer Science and a focus on technical communication, research, and analytical problem solving. My background includes graduate-level machine learning and computational text analysis research, along with experience working across interdisciplinary environments that require translating complex technical concepts for varied audiences and collaborating across technical and non-technical domains.
Publications & Projects
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Using Random Perturbations to Mitigate Adversarial Attacks on Sentiment Analysis Models
International Conference of Natural Language Processing (ICON) 2021
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Tesserae
Ongoing collaboration with the University of Buffalo
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EvaLatin 2024 Submission
Submission for the emotion polarity task of the EvaLatin campaign of LT4HALA at LREC-COLING 2024 in Turin, Italy
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Story Grammar Semantic Matching
A new method for performing semantic matching for literary texts that utilizes story grammars and story elements to compare passages
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BeLLuM: Benchmark for Latin Language Models
Ongoing work to design and create the first comprehensive benchmark for Latin language models