1. Kira Droganova, Daniel Zeman (2024): Towards a Unified Taxonomy of Deep Syntactic Relations. In: Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pp. 16412-16421, European Language Resources Association, Torino, Italy, ISBN 978-2-493814-10-4 (pdf, local PDF, bibtex)
  2. Kira Droganova, Daniel Zeman (2023): A Unified Taxonomy of Deep Syntactic Relations (Electronic). In: ArXiv.org Computing Research Repository, ISSN 2331-8422, 2303.12220 (url, local PDF)
  3. Kira Droganova, Andrey Kutuzov, Nikita Mediankin, Daniel Zeman (2019): ÚFAL–Oslo at MRP 2019: Garage Sale Semantic Parsing. In: Proceedings of the CoNLL 2019 Shared Task: Cross-Framework Meaning Representation Parsing, pp. 158-165, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-950737-60-4 (pdf, local PDF, bibtex)
  4. Kira Droganova, Daniel Zeman (2019): Towards Deep Universal Dependencies. In: Proceedings of the Fifth International Conference on Dependency Linguistics (Depling, Syntaxfest 2019), pp. 144-152, Association for Computational Linguistics, Paris, France, ISBN 978-1-950737-63-5 (pdf, local PDF, local PDF, bibtex)
  5. Maria Ponomareva, Kira Droganova, Ivan Smurov, Tatiana Shavrina (2019): AGRR 2019: Corpus for Gapping Resolution in Russian. In: Balto-Slavic Natural Language Processing, pp. 35-43, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-950737-41-3 (url, local PDF, bibtex)
  6. Ivan Smurov, Maria Ponomareva, Tatiana Shavrina, Kira Droganova (2019): AGRR-2019: Automatic Gapping Resolution for Russian. In: Computational Linguistics and Intellectual Technologie, pp. 600-614, nakl. RGGU, Moscow, Russia (pdf, local PDF, bibtex)
  7. Kira Droganova, Filip Ginter, Jenna Kanerva, Daniel Zeman (2018): Mind the Gap: Data Enrichment in Dependency Parsing of Elliptical Constructions. In: Proceedings of the Second Workshop on Universal Dependencies (UDW 2018), pp. 47-54, Association for Computational Linguistics, Bruxelles, Belgium, ISBN 978-1-948087-78-0 (url, local PDF, bibtex)
  8. Kira Droganova, Olga Lyashevskaya (2018): Cross-Tagset Parsing Evaluation for Russian. In: Digital Transformation and Global Society, pp. 380-390, Springer International Publishing, Cham, ISBN 978-3-030-02842-8 (bibtex)
  9. Kira Droganova, Olga Lyashevskaya, Daniel Zeman (2018): Data Conversion and Consistency of Monolingual Corpora: Russian UD Treebanks. In: Proceedings of the 17th International Workshop on Treebanks and Linguistic Theories (TLT 2018), pp. 53-66, Linköping University Electronic Press, Linköping, Sweden, ISBN 978-91-7685-137-1 (pdf, local PDF, bibtex)
  10. Kira Droganova, Daniel Zeman, Jenna Kanerva, Filip Ginter (2018): Parse Me if You Can: Artificial Treebanks for Parsing Experiments on Elliptical Constructions. In: Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC 2018), pp. 1845-1852, European Language Resources Association, Miyazaki, Japan, ISBN 979-10-95546-00-9 (url, local PDF, bibtex)
  11. Kira Droganova, Daniel Zeman (2017): Elliptic Constructions: Spotting Patterns in UD Treebanks. In: NoDaLiDa 2017 Workshop on Universal Dependencies, pp. 48-57, Göteborgs universitet, Göteborg, Sweden, ISBN 978-91-7685-501-0 (pdf, local PDF, bibtex)
  12. Alexey Sorokin, Tatiana Shavrina, Olga Lyashevskaya, Victor Bocharov, Svetlana Alexeeva, Kira Droganova, Alena Fenogenova, Dmitry Granovsky (2017): MorphoRuEval-2017: an evaluation track for the automatic morphological analysis methods for Russian. In: Computational Linguistics and Intellectual Technologies, pp. 311-328, nakl. RGGU, Moscow, Russia (pdf, bibtex)
  13. Daniel Zeman, Martin Popel, Milan Straka, Jan Hajič, Joakim Nivre, Filip Ginter, Juhani Luotolahti, Sampo Pyysalo, Slav Petrov, Martin Potthast, Francis Tyers, Elena Badmaeva, Memduh Gökırmak, Anna Nedoluzhko, Silvie Cinková, Jan Hajič, jr., Jaroslava Hlaváčová, Václava Kettnerová, Zdeňka Urešová, Jenna Kanerva, Stina Ojala, Anna Missilä, Christopher Manning, Sebastian Schuster, Siva Reddy, Dima Taji, Nizar Habash, Herman Leung, Marie-Catherine de Marneffe, Manuela Sanguinetti, Maria Simi, Hiroshi Kanayama, Valeria de Paiva, Kira Droganova, Héctor Martínez Alonso, Çağrı Çöltekin, Umut Sulubacak, Hans Uszkoreit, Vivien Macketanz, Aljoscha Burchardt, Kim Harris, Katrin Marheinecke, Georg Rehm, Tolga Kayadelen, Mohammed Attia, Ali Elkahky, Zhuoran Yu, Emily Pitler, Saran Lertpradit, Michael Mandl, Jesse Kirchner, Hector Fernandez Alcalde, Jana Strnadová, Esha Banerjee, Ruli Manurung, Antonio Stella, Atsuko Shimada, Sookyoung Kwak, Gustavo Mendonça, Tatiana Lando, Rattima Nitisaroj, Josie Li (2017): CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. In: Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pp. 1-19, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-945626-70-8 (pdf, local PDF, bibtex)
  14. Kira Droganova, Nikita Mediankin (2016): NLP Pipeline for Russian: an Easy-to-Use Web Application for Morphological and Syntactic Annotation (Electronic). (pdf, local PNG, local PDF)
  15. Kira Droganova, Daniel Zeman (2016): Conversion of SynTagRus (the Russian dependency treebank) to Universal Dependencies (technical report). In: (pdf, bibtex)
  16. Olga Lyashevskaya, Kira Droganova, Daniel Zeman, Maria Alexeeva, Tatiana Gavrilova, Nina Mustafina, Elena Shakurova (2016): Universal Dependencies for Russian: A New Syntactic Dependencies Tagset (Electronic). (pdf)
  17. Nikita Mediankin, Kira Droganova (2016): Building NLP Pipeline for Russian with a Handful of Linguistic Knowledge. In: Proceedings of the Workshop on Computational Linguistics and Language Science, pp. 48-56, CEUR-WS, Aachen, Germany (bibtex)
  18. Kira Droganova (2015): Building a Dependency Parsing Model for Russian with MaltParser and MyStem Tagset. In: 14th International Workshop on Treebanks and Linguistic Theories (TLT 2015), pp. 268-272, IPIPAN, Warszawa, Poland, ISBN 978-83-63159-18-4 (local PDF, bibtex)