I am a PhD student in Columbia University. I work as a research assistant in Columbia Center for Computational Learning Systems (CCLS). In Fall 2013, I TA Prof. Michael Collins for natural language processing course in Columbia University. In summer 2013, I worked as a research intern in CoreNL research group, Nuance in Sunnyvale, CA. My main interest is natural language processing. Prior to this, I was a student of AI in Iran. Here is my Google Scholar page.
I was the head of Dadegan Research Group (working on Persian verbs and Persian Dependency Treebank project). I love the Persian language as the language of literature, wisdom and kindness. I love literature and theology. Sometimes, I write poems and stories (I am not a professional in writing though). I am writing a travelogue in Persian about my travel to NY. You can find all completed chapters in my blog. The name of the travelogue is "wine fellow traveler".
PhD student, Computer Science, Computer Science Department, Columbia University, 2012-present.
MSc., Artificial Intelligence and Robotics, Computer Engineering Department, Iran University of Science and Technology, 2009-2012.
BSc., Software Engineering, Computer Engineering Department, Iran University of Science and Technology, 2005-2009.
Mohammad Sadegh Rasooli and Joel Tetreault. Joint Parsing and Disfluency Detection in Linear Time. Conference on Empirical Methods in Natural Language Processing (EMNLP), Seattle, WA, 2013 (To appear).
Mohammad Sadegh Rasooli, Omid Kashefi, and Behrouz Minaei-Bidgoli. Effect of Adaptive Spell Checking in Persian, in 7th IEEE International Conference on Natural Language Processing and Knowledge Engineering (NLPKE'11), Tokushima, Japan, pp. 161-164, 2011.
Mohammad Sadegh Rasooli and Behrouz Minaei-Bidgoli. A new approach for Persian spellchecking, in 2nd Data Mining Conference (IDMC’08), Amirkabir University, Tehran, Iran, 2008 (in Persian, with English Abstract).
Dadegan Research Group. Persian Dependency Treebank Annotation: Manual and User Guide, August 2012 (in English and Persian).