| 2026 | ACL | Evaluation Pitfalls and Sparsity Limitations in LLM-based Confidence Estimates for Classification. | Elena Merdjanovska, Omar Zaidan, Andreas Rckl |
| 2023 | WWW | Improving the Relevance of Product Search for Queries with Negations. | Felice Antonio Merra, Omar Zaidan, Fabricio de Sousa Nascimento |
| 2012 | NAACL | Machine Translation of Arabic Dialects. | Rabih Zbib, Erika Malchiodi, Jacob Devlin, David Stallard, Spyros Matsoukas, Richard M. Schwartz, John Makhoul, Omar Zaidan, Chris Callison-Burch |
| 2011 | ACL | Crowdsourcing Translation: Professional Quality from Non-Professionals. | Omar Zaidan, Chris Callison-Burch |
| 2011 | ACL | The Arabic Online Commentary Dataset: an Annotated Dataset of Informal Arabic with High Dialectal Content. | Omar Zaidan, Chris Callison-Burch |
| 2010 | NAACL | Predicting Human-Targeted Translation Edit Rate via Untrained Human Annotators. | Omar Zaidan, Chris Callison-Burch |
| 2010 | NAACL | An Enriched MT Grammar for Under $100. | Omar Zaidan, Juri Ganitkevitch |
| 2009 | ACL | Demonstration of Joshua: An Open Source Toolkit for Parsing-based Machine Translation. | Zhifei Li, Chris Callison-Burch, Chris Dyer, Juri Ganitkevitch, Sanjeev Khudanpur, Lane Schwartz, Wren N. G. Thornton, Jonathan Weese, Omar Zaidan |
| 2009 | EMNLP | Feasibility of Human-in-the-loop Minimum Error Rate Training. | Omar Zaidan, Chris Callison-Burch |
| 2008 | EMNLP | Modeling Annotators: A Generative Approach to Learning from Annotator Rationales. | Omar Zaidan, Jason Eisner |
| 2007 | NAACL | Using "Annotator Rationales" to Improve Machine Learning for Text Categorization. | Omar Zaidan, Jason Eisner, Christine D. Piatko |