Peter Makarov

Peter Makarov

Tel.: +41 44 635 72 47

Raumbezeichnung: AND-2-28

I am a PhD student in the POLCON project headed by Hanspeter Kriesi. In my PhD project, I work on automated extraction of politically relevant events. I am also involved in work on computational morphology. Here is my CV.


Peter Makarov and Simon Clematide. 2018. Imitation Learning for Neural Morphological String Transduction. To appear in Proceedings of EMNLP 2018. Presentation slides

Peter Makarov and Simon Clematide. 2018. UZH at CoNLL--SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection. To appear in Proceedings of the CoNLL--SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection at EMNLP 2018. Best results in Task 1.

Peter Makarov and Simon Clematide. 2018. Neural Transition-based String Transduction for Limited-Resource Setting in Morphology. In Proceedings of the 27th International Conference on Computational Linguistics (COLING). Honorable mention. Code.

Peter Makarov. 2018. Automated Acquisition of Patterns for Coding Political Event Data: Two Case Studies. In Proceedings of the Second Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL) at COLING 2018.

Peter Makarov and Simon Clemanide. 2017. UZH at TAC KBP 2017: Event Nugget Detection via Joint Learning with Softmax-Margin Objective. In Proceedings of TAC KBP 2017 Workshop. Overall best results in all three languages (en, sp, zh). Code.

Peter Makarov,* Tatiana Ruzsics,* and Simon Clematide. 2017. Align and Copy: UZH at SIGMORPHON 2017 Shared Task for Morphological Reinflection. In Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection at ACL 2017 (* contributed equally). Overall winner of Task 1. Code.

Simon Clematide and Peter Makarov. 2017. CLUZH at VarDial GDI 2017: Testing a Variety of Machine Learning Tools for the Classification of Swiss German Dialects. In Proceedings of the Forth VarDial Workshop at EACL 2017. 3rd place out of 10.

Peter Makarov, Jasmine Lorenzini, and Hanspeter Kriesi. 2016. Constructing an Annotated Corpus for Protest Event Mining. In Proceedings of the Workshop on Natural Language Processing and Computational Social Science at EMNLP 2016.  Annotation guidelines.

Google scholar

Non-reviewed Conference Papers

Hanspeter Kriesi, Jasmine Lorenzini, Bruno Wüest, and Peter Makarov. 2016. Protesting Europeans in Times of Crisis: A Thirty Countries Study. Presented at the Conference on Democracy, the State and Protest: International Perspectives on Methods for the Study of Protest. Ohio State University.


I did my masters in computational linguistics at the University of Tübingen, Germany. I studied general and applied linguistics at Moscow State Linguistic University. Some random fun facts: I was a member of the old Daltaí na Gaeilge discussion board, and I am a drummer.