Faculty staff

Curriculum vitae

Identification

• Kovář, Vojtěch
• born on 15th December 1984 in Valtice
• married, 3 children

Department/Faculty/University

• Centre for Natural Language Processing
  Faculty of Informatics, Masaryk University
  Botanická 68a, 602 00 Brno, Czech Republic

Current position

• specialist

Education and academic qualifications

• 2014: Ph.D. in Computer Science (Artificial intelligence and natural language processing); dissertation topic: Automatic Syntactic Analysis for Real-World Applications
• 2011: RNDr. degree in Computer Science (Artificial intelligence and natural language processing)
• 2009: Master degree in Computer Science
• 2007: Bachelor degree in Computer Science
• 2004: High school (gymnasium Břeclav)

Professional experience

• 2006 - now: Natural Language Processing Centre, Faculty of Informatics, Masaryk University (specialist)
• 2012 - now: Computational Linguistics Centre, Faculty of Arts, Masaryk University (lecturer)
• 2012 - now: Lexical Computing CZ s.r.o. (software analyst)

Teaching activities

• PLIN004 Elementary mathematics and statistics for Humanities, Pt. I
• PLIN006 Elementary mathematics and statistics for Humanities, Pt. II
• Lexicom workshops
• SKEW Sketch Engine workshops
• supervising bachelor's and master's theses at the Faculty of Informatics and Faculty of Arts, Masaryk University

Research activities

• natural language parsing and its usage in subsequent applications
• corpus linguistics and tools for processing of large corpora

Other academic activities

• collaboration with Lexical Computing Ltd., a bussiness partner of Faculty of Informatics

Professional accomplishments

• PACLIC 2010 best student paper award
• 2017 - now: eLex conference programme committee member

Major publications

• KOVÁŘ, Vojtěch, Miloš JAKUBÍČEK a Aleš HORÁK. On Evaluation of Natural Language Processing Tasks: Is Gold Standard Evaluation Methodology a Good Solution? In Jaap van den Herik and Joaquim Filipe. Proceedings of the 8th International Conference on Agents and Artificial Intelligence. Rome: SCITEPRESS, 2016, s. 540-545. ISBN 978-989-758-172-4. info
• KOVÁŘ, Vojtěch, Vít BAISA a Miloš JAKUBÍČEK. Sketch Engine for Bilingual Lexicography. International Journal of Lexicography. Oxford: Oxford University Press, 2016, roč. 29, č. 3, s. 339-352. ISSN 0950-3846. Dostupné z: https://dx.doi.org/10.1093/ijl/ecw029. URL info
• KILGARRIFF, Adam, Vít BAISA, Jan BUŠTA, Miloš JAKUBÍČEK, Vojtěch KOVÁŘ, Jan MICHELFEIT, Pavel RYCHLÝ a Vít SUCHOMEL. The Sketch Engine: ten years on. Lexicography. Springer Berlin Heidelberg, 2014, roč. 1, č. 1, s. 7-36. ISSN 2197-4292. Dostupné z: https://dx.doi.org/10.1007/s40607-014-0009-9. URL info
• BAISA, Vít a Vojtěch KOVÁŘ. Information Extraction for Czech Based on Syntactic Analysis. In Zygmunt Vetulani, Joseph Mariani. Human Language Technology Challenges for Computer Science and Linguistics. Cham: Springer, 2014, s. 155-165. ISBN 978-3-319-08957-7. Dostupné z: https://dx.doi.org/10.1007/978-3-319-08958-4_13. info
• KOVÁŘ, Vojtěch. Partial Grammar Checking for Czech Using the SET Parser. In 17th International Conference, TSD 2014. prvni. Berlin Heidelberg: Springer Verlag, 2014, s. 308-314. ISBN 978-3-319-10815-5. Dostupné z: https://dx.doi.org/10.1007/978-3-319-10816-2_38. info
• JAKUBÍČEK, Miloš, Adam KILGARRIFF, Vojtěch KOVÁŘ, Pavel RYCHLÝ a Vít SUCHOMEL. The TenTen Corpus Family. Online. In 7th International Corpus Linguistics Conference CL 2013. Lancaster, 2013, s. 125-127. Webové stránky konference Konferenční sborník abstraktů info
• KOVÁŘ, Vojtěch, Aleš HORÁK a Miloš JAKUBÍČEK. Syntactic Analysis Using Finite Patterns: A New Parsing System for Czech. In Human Language Technology. Challenges for Computer Science and Linguistics. Berlin/Heidelberg: Springer, 2011, s. 161-171. ISBN 978-3-642-20094-6. URL info
• JAKUBÍČEK, Miloš, Vojtěch KOVÁŘ a Marek GRÁC. Through Low-Cost Annotation to Reliable Parsing Evaluation. In PACLIC 24 Proceedings of the 24th Pacific Asia Conference on Language, Information and Computation. Tokyo: Waseda University, 2010, s. 555-562. ISBN 978-4-905166-00-9. URL info

2017/03/15