Shabnam Behzad


I'm a fourth-year Ph.D. student in Computer Science at Georgetown University. I'm a member of NERT, Corpling@GU, and GUCL. My advisors are Nathan Schneider and Amir Zeldes. Before Georgetown, I got my B.S. in Computer Engineering at Sharif University of Technology.

Broadly, I'm interested in Natural Language Processing and Computational Linguistics. Currently, I'm working on projects related to grammatical error correction, data augmentation, and cross-lingual models.

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Overview of AMALGUM - Large Silver Quality Annotations across English Genres
Luke Gessler, Siyao Peng, Yang Liu, Yilun Zhu, Shabnam Behzad, Amir Zeldes.
Society for Computation in Linguistics (SCiL), 2021
Team DoNotDistribute at SemEval-2020 Task 11: Features, Finetuning, and Data Augmentation in Neural Models for Propaganda Detection in News Articles
Michael Kranzlein, Shabnam Behzad, Nazli Goharian.
SemEval, 2020
paper / bibtex
A Cross-Genre Ensemble Approach to Robust Reddit Part of Speech Tagging
Shabnam Behzad, Amir Zeldes.
WAC, 2020
paper / code / bibtex
AMALGUM – A Free, Balanced, Multilayer English Web Corpus
Luke Gessler, Siyao Peng, Yang Liu, Yilun Zhu, Shabnam Behzad, Amir Zeldes.
LREC, 2020
paper / code / bibtex
A Machine Learning Approach to Reclassifying Miscellaneous Patient Safety Event Reports.
Allan Fong, Shabnam Behzad, Zoe Pruitt, Raj M. Ratwani.
Journal of Patient Safety, 2020
Visiting Graduate Scholar, Center for Language and Speech Processing, Johns Hopkins University (Summer 2021)
Research Scientist, Megagon Labs (Summer 2020)
Senior Research Associate, MedStar Institute for Innovations (Summer 2019)

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