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Shabnam Behzad
Hi!
I'm a Ph.D. candidate 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 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. Currently, I'm working on projects related to explanation and feedback generation, LLM applications in education, and approaches for building higher-quality datasets.
I am on the job market for postdoc and industry positions! Please reach out if you know of a role that would be a good fit for me.
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Publications
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Data Checklist: On Unit-Testing Datasets with Usable Information
Heidi Chenyu Zhang,
Shabnam Behzad,
Kawin Ethayarajh,
Dan Jurafsky.
COLM, 2024
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LEAF: Language Learners' English Essays and Feedback Corpus
Shabnam Behzad,
Omid Kashefi,
Swapna Somasundaran.
NAACL, 2024
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Assessing Online Writing Feedback Resources: Generative AI vs. Good Samaritans
Shabnam Behzad,
Omid Kashefi,
Swapna Somasundaran.
LREC-COLING, 2024
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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
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ELQA: A Corpus of Metalinguistic Questions and Answers about English
Shabnam Behzad,
Keisuke Sakaguchi,
Nathan Schneider,
Amir Zeldes.
ACL, 2023
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Sentence-level Feedback Generation for English Language Learners: Does Data Augmentation Help?
Shabnam Behzad,
Amir Zeldes,
Nathan Schneider.
FCG GenChal@INLG, 2023
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The Effect of Alignment Correction on Cross-Lingual Annotation Projection
Shabnam Behzad*,
Seth Ebner*,
Marc Marone,
Benjamin Van Durme,
Mahsa Yarmohammadi.
LAW@ACL, 2023
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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
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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
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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
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A Cross-Genre Ensemble Approach to Robust Reddit Part of Speech Tagging
Shabnam Behzad,
Amir Zeldes.
WAC, 2020
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AMALGUM – A Free, Balanced, Multilayer English Web Corpus
Luke Gessler,
Siyao Peng,
Yang Liu,
Yilun Zhu,
Shabnam Behzad,
Amir Zeldes.
LREC, 2020
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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
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