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Institut für Computerlinguistik

Peter Makarov

Peter Makarov

  • PhD Student

I am a PhD student interested in natural language processing, machine learning, low-resource languages, and computational morphology. CV.


Google scholar

Peter Makarov and Simon Clematide. 2020. Semi-supervised Contextual Historical Text Normalization. In Proceedings of ACL 2020. Code.

Peter Makarov and Simon Clematide. 2020. CLUZH at SIGMORPHON 2020 Shared Task on Multilingual Grapheme-to-Phoneme Conversion. In Proceedings of the 17th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology at ACL 2020. 2nd place.

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

Peter Makarov and Simon Clematide. 2018. UZH at CoNLL--SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection. 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.

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. I was involved in the POLCON project headed by Hanspeter Kriesi, where I work on automated extraction of politically relevant events.

Some random fun facts: I was a member of the old Daltaí na Gaeilge discussion board, and I am a drummer.