Data to accompany: Masis, Duan, Xu, Zuckerman, Pyo, and O'Connor. "Multilingualism, Transnationality, and K-pop in the Online #StopAsianHate Movement." Web Science Conference, 2025.

Code for automated main concept generation for narrative discourse assessment in aphasia

𝛿-Stance: A Large-Scale Real World Dataset of Stances in Legal Argumentation

Harnessing Toulmin’s theory for zero-shot argument explication

Models and training sets to accompany: Masis, Neal, Green, and O'Connor. "Corpus-Guided Contrast Sets for Morphosyntactic Feature Detection in Low-Resource English Varieties." Field Matters Workshop at COLING, 2022.

Code and data to accompany: Masis, Eggleston, Green, Jones, Armstrong, and O'Connor. "Large-scale Twitter data reveals systematic geographic and social variation in African American English." Under peer-review.

Examining Political Rhetoric with Epistemic Stance Detection