Research

(pre-print) Leveraging Contextual Embeddings with Affective, Social, and Behavioral Features for Substance Use Stigma Detection

under review, 2022

Using an annotated Reddit corpus, we train a set of binary classifiers, in which each classifier detects one of three substance use stigma types: Internalized Stigma, Anticipated Stigma, and Enacted Stigma. By combining RoBERTa contextual embeddings and affective, social, and behavioral features, we produce systems that identify instances of substance use stigma for all three stigma types and outperform RoBERTa-only baselines by up to 6.45 macro F1.

Recommended citation: TBA https://github.com/droesler/droesler.github.io/blob/master/files/stigma_paper_preprint_12_15_2022.pdf

When a bug is not a bug: An introduction to the Computer Science Academic Vocabulary List

Journal of English for Academic Purposes, 2021

This article presents the Computer Science Academic Vocabulary List (CSAVL), a pedagogical tool intended for use by English-for-specific-purpose educators and material developers.

Recommended citation: Roesler, D. (2021). When a bug is not a bug: An introduction to the Computer Science Academic Vocabulary List, Journal of English for Academic Purposes, 101044. https://doi.org/10.1016/j.jeap.2021.101044

A computer science academic vocabulary list

Master's thesis, Portland State University, 2020

This thesis documents the development of the Computer Science Academic Vocabulary List (CSAVL), a pedagogical tool intended for use by English-for-specific-purpose educators and material developers.

Recommended citation: Roesler, D. (2020). A computer science academic vocabulary list [Master's thesis, Portland State University]. https://doi.org/10.15760/etd.7414



You can also find my articles on my Google Scholar profile.