Nicholas Deas

According to our database, Nicholas Deas authored at least 7 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Rejected Dialects: Biases Against African American Language in Reward Models.

Joel Mire, Zubin Trivadi Aysola, Daniel Chechelnitsky, Nicholas Deas, Chrysoula Zerva, Maarten Sap

CoRR, February, 2025

Unmasking camouflage: exploring the challenges of large language models in deciphering African American language & online performativity.

Shana Kleiner, Jessica Grieser, Shug Miller, James Shepard, Javier Garcia-Perez, Nicholas Deas, Desmond Upton Patton, Elsbeth Turcan, Kathleen R. McKeown

AI Ethics, February, 2025

Summarization of Opinionated Political Documents with Varied Perspectives.

Nicholas Deas, Kathleen R. McKeown

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

MASIVE: Open-Ended Affective State Identification in English and Spanish.

Nicholas Deas, Elsbeth Turcan, Iván Pérez Mejía, Kathleen R. McKeown

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

I just want to matter: Examining the role of anti-mattering in online suicide support communities using natural language processing.

Nicholas Deas, Robin M. Kowalski, Sophie Finnell, Emily Radovic, Hailey Carroll, Chelsea Robbins, Andrew Cook, Kenzie Hurley, Natalie Cote, Kelly Evans, Isabella Lorenzo, Kelly Kiser, Gabriela Mochizuki, Meredith Mock, Lyndsey Brewer

Comput. Hum. Behav., 2023

Evaluation of African American Language Bias in Natural Language Generation.

Nicholas Deas, Jessica Grieser, Shana Kleiner, Desmond Patton, Elsbeth Turcan, Kathleen R. McKeown

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021

Systematic Evaluation and Enhancement of Speech Recognition in Operational Medical Environments.

Snigdhaswin Kar, Prabodh Mishra, Ju Lin, Minjae Woo, Nicholas Deas, Caleb Linduff, Sufeng Niu, Yuzhe Yang, Jerome McClendon, D. Hudson Smith, Melissa C. Smith, Ronald W. Gimbel, Kuang-Ching Wang

Proceedings of the International Joint Conference on Neural Networks, 2021