Efsun Sarioglu Kayi

I received my PhD degree from Computer Science Department at George Washington University under the supervision of Prof. Hyeong-Ah Choi. After I got my PhD, I worked as a Visiting Research Scholar in Prof. Melanie Mitchell ‘s group at Portland State University on the Visual Situation Recognition Project. I also have many years of experience in the industry including Federal Reserve Board.

Publications

• Efsun Sarioglu Kayi, Vishal Anand, and Smaranda Muresan. 2020. MultiSeg: Parallel data and subword information for learning bilingual embeddings in low resource scenarios. In Proceedings of the 1st Joint Workshop on Spoken Language Technologies for Under-resourced languages (SLTU) and Collaboration and Computing for Under-Resourced Languages (CCURL), pages 97–105. Slides . Code.
• A. AlQahtani, E. Kayi and M. Diab. Understanding Cohesion in Writings and Speech of Schizophrenia Patients. 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), pp. 364-369
• Oard, DW, Carpuat, M, Galuscakova, P, Barrow, J, Nair, S, Niu, X, Shing, H-C, Xu, W, Zotkina, E, McKeown, K, Muresan, S, Kayi, ES, Eskander, R, Kedzie, C, Virin, Y, Radev, DR, Zhang, R, Gales, MJF, Ragni, A and Heafield, K 2019, Surprise Languages: Rapid-Response Cross-Language IR. Proceedings of the Ninth International Workshop on Evaluating Information Access (EVIA 2019): ACM, pp. 23. Slides
• Chaudhary, A., Dalmia, S., Hu, J., Li, X., Matthews, A., Muis, A.O., Otani, N., Rijhwani, S., Sheikh, Z., Vyas, N., Wang, X., Xie, J., Xu, R., Zhou, C., Jansen, P.J., Yang, Y., Levin, L.S., Metze, F., Mitamura, T., Mortensen, D.R., Neubig, G., Hovy, E.H., Black, A.W., Carbonell, J.G., Horwood, G., Tafreshi, S., Diab, M.T., Sarioglu, E., Farra, N., and McKeown, K. (2019). The ARIEL-CMU Systems for LoReHLT18. ArXiv, abs/1902.08899.
• Sarioglu Kayi, Efsun and Diab, Mona and Pauselli, Luca and Compton, Michael and Coppersmith, Glen. 2017. Predictive Linguistic Features of Schizophrenia Opens in a new window. In Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017). Association for Computational Linguistics, Vancouver, Canada, pages 241–250. Slides Opens in a new window Updated version
• E. Sarioglu Kayi, K. Yadav, J. M. Chamberlain, and H.-A. Choi. 2017. Topic Modeling for Classification of Clinical Reports Opens in a new window. ArXiv e-prints .
• E. Sarioglu Kayi, M. Mitchell. Object Detection using HOG for Visual Situation Recognition. Tech. Rep. 2017
• Yadav, K., Sarioglu, E., Choi, H.-A., Hinds, P., Chamberlain, J. Automated Outcome Classification of CT Imaging Reports for Pediatric Traumatic Brain Injury Opens in a new window. Academic Emergency Medicine 23, 2 (2016), 171-178.
• Sarioglu E. Effective Opens in a new window Classification of Clinical Reports: Natural Language Processing-Based and Topic Modeling-Based Approaches Opens in a new window. Ph.D. Dissertation. George Washington Univ., 2014. SlidesOpens in a new window
• Sarioglu E., Yadav K., Choi H-A. Topic Modeling Based Classification of Clinical Reports Opens in a new window. In 51st Annual Meeting of the Association for Computational Linguistics Proceedings (2013), pp. 67-73.
• Yadav, K., Sarioglu, E., Smith, M., Choi, H.-A. Automated Outcome Classification of Emergency Department Computed Tomography (CT) Imaging Reports Opens in a new window. Academic Emergency Medicine 20, 8 (2013), 848-854.
• Sarioglu E., Yadav K., Choi H-A. Clinical Report Classification Using Natural Language Processing and Topic Modeling Opens in a new window. 11th International Conference on Machine Learning and Applications (ICMLA) (2012), 204-209. Best Poster Award.
• Sarioglu, E., Yadav, K., and Choi, H.-A. Efficient Classification of Clinical Reports Utilizing Natural Language Processing Opens in a new window. Tech. Rep. FS-12-05, Association for the Advancement of Artificial Intelligence (AAAI), 2012.

Contact: ek3050 [at] columbia [dot] edu