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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. Linkedin  /  Google Scholar  /  Twitter 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) Template from here.