Shabnam Behzad

Hi!

I'm a member of technical staff at Reka AI. I completed my PhD in Computer Science at Georgetown University under the supervision of Nathan Schneider and Amir Zeldes. Before Georgetown, I got my BEng in Computer Engineering at Sharif University of Technology.

Broadly, I'm interested in Natural Language Processing and Computational Linguistics. My work is mainly within resources and evaluation.

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Publications
To Ask LLMs about English Grammaticality, Prompt Them in a Different Language
Shabnam Behzad, Amir Zeldes, Nathan Schneider.
Findings of EMNLP, 2024
paper
GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains
Yang Janet Liu, Tatsuya Aoyama, Wesley Scivetti, Yilun Zhu, Shabnam Behzad, Lauren Elizabeth Levine, Jessica Lin, Devika Tiwari, Amir Zeldes.
EMNLP, 2024
paper / code
Data Checklist: On Unit-Testing Datasets with Usable Information
Heidi Chenyu Zhang, Shabnam Behzad, Kawin Ethayarajh, Dan Jurafsky.
COLM, 2024
paper / code
LEAF: Language Learners' English Essays and Feedback Corpus
Shabnam Behzad, Omid Kashefi, Swapna Somasundaran.
NAACL, 2024
paper / data / bibtex
Assessing Online Writing Feedback Resources: Generative AI vs. Good Samaritans
Shabnam Behzad, Omid Kashefi, Swapna Somasundaran.
LREC-COLING, 2024
paper / bibtex
MultiMUC: Multilingual Template Filling on MUC-4
William Gantt, Shabnam Behzad, Hannah YoungEun An, Yunmo Chen, Aaron Steven White, Benjamin Van Durme, Mahsa Yarmohammadi.
EACL, 2024
paper / code / bibtex
ELQA: A Corpus of Metalinguistic Questions and Answers about English
Shabnam Behzad, Keisuke Sakaguchi, Nathan Schneider, Amir Zeldes.
ACL, 2023
paper / code / bibtex
Sentence-level Feedback Generation for English Language Learners: Does Data Augmentation Help?
Shabnam Behzad, Amir Zeldes, Nathan Schneider.
FCG GenChal@INLG, 2023
paper / bibtex
The Effect of Alignment Correction on Cross-Lingual Annotation Projection
Shabnam Behzad*, Seth Ebner*, Marc Marone, Benjamin Van Durme, Mahsa Yarmohammadi.
LAW@ACL, 2023
paper / bibtex
GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation
Tatsuya Aoyama, Shabnam Behzad, Luke Gessler, Lauren Levine, Jessica Lin, Yang Janet Liu, Siyao Peng, Yilun Zhu, Amir Zeldes.
LAW@ACL, 2023
paper / code / bibtex
DisCoDisCo at the DISRPT2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective Detection
Luke Gessler, Shabnam Behzad, Yang Liu, Siyao Peng, Yilun Zhu, Amir Zeldes.
DISRPT@EMNLP, 2021
paper / code / bibtex
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
Internships
Research Intern , ETS AI Labs (Summer 2023)
Visiting Graduate Scholar, Center for Language and Speech Processing, Johns Hopkins University (Summer 2022)
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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