Assistant Professor

Bio

Dr. Sarah Kohail is an Assistant Professor from Germany. She holds a Ph.D. in Computer Science from the University of Hamburg, where she worked as a Research Assistant for several years. With a background rooted in academia, she transitioned to the industry for three years, working as a Senior Data Scientist specializing in text similarity, recommendation systems, information extraction, and text summarization. Her current primary research interests include Arabic social media text analysis and legal text understanding.

Office

Abu Dhabi - Khalifa City, FF3-1-45

Phone:

+971 2 5993582

Email:

Teaching Areas

Teaching Areas:

• Web and Multimedia
• Cloud Computing
• Mobile Computing
• Dynamic Web Development
• IT in Global and Local Cultures

Research and Professional Activities

Research Area(s)

Natural Language Processing, Knowledge Graphs, Sentiment Analysis, Machine Learning, Arabic social media text analysis and legal text understanding.

Papers in refereed conference proceedings

• 2019 Kutuzov, A., Panchenko, A., Kohail, S., Dorgham, M., Oliynyk, O., Biemann, C. Learning Graph Embeddings from WordNet-based Similarity Measures, arXiv:1808.05611. In Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019), Minneapolis, Minnesota.

• 2018 Gupta, D., Kohail, S., and Bhattacharyya, P. Combining Graph-based Dependency Features with Convolutional Neural Network for Answer Triggering. In 19th International Conference on Computational Linguistics and Intelligent Text Processing, Hanoi, Vietnam
• 2017 Kohail, S. and Biemann, C. Matching, Re-ranking and Scoring: Learning Textual Similarity by Incorporating Dependency Graph Alignment and Coverage Features. In 18th International Conference on Computational Linguistics and Intelligent Text Processing, Budapest, Hungary. (best of CICLING).