Jindřich Libovický
Main Research Interests
deep learning in NLP, combining language and vision, multimodal translation, scene text recognition
Projects
Curriculum Vitae
Experience
- Research Assistant @Charles University (since 2013)
- Software Enginering Intern @Google (2017)
- Analytic Linguist Intern @Google (2016)
- Research Development Support @IBM Czech Republic (2012 – 2015)
Education
- pursuing a PhD. in Computational Linguistics, Charles University, Faculty of Mathematics and Physics (since 2013)
- Masters degree in Computational Linguistics (2011 – 2013), Charles University, Faculty of Mathematics and Physics
- Bachelor degree in Media Studies (2011 – 2014), Charles University, Faculty of Social Sciences
- Bachelor degree in Computer Science (2007 – 2011), Charles University, Faculty of Mathematics and Physics
Selected Bibliography
- Jindřich Libovický, Jindřich Helcl. “Attention Strategies for Multi-Source Sequence-to-Sequence Learning.” In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics. pp. 196-202. Association for Computational Linguistics, Vancouver, Canada. 2017. [pdf, bib, slides]
Awarded as an outstanding paper.- Jindřich Helcl, Jindřich Libovický. “Neural Monkey: An Open-source Tool for Sequence Learning.” In: The Prague Bulletin of Mathematical Linguistics. 107. pp. 3–17. Charles University, Prague, Czech Republic, 2017. [pdf, github]
- Jindřich Libovický, Jindřich Helcl, Marek Tlustý, Pavel Pecina and Ondřej Bojar. “CUNI System for WMT16 Automatic Post-Editing and Multimodal Translation Tasks.” In: Proceedings of the First Conference on Machine Translation (WMT). Association for Computational Linguistics, Berlin, Germany. 2016. [pdf, bib]
- Jindřich Libovický. “Neural Scoring Function for MST Parser.” In: Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC 2016), pp. 694–698. European Language Resources Association, Portorož, Slovenia. 2016. [pdf]
- Jindřich Libovický, Lukáš Neumann, Pavel Pecina, and Jiří Matas. “A Machine Learning Approach to Hypotheses Decoding in Scene Text Recognition.” In: ACCV 2014: Computer Vision - ACCV 2014 Workshops. pp 169–180. Springer, Cham, Switzerland. 2015. [slides]
- Rudofl Kadlec, Miroslav Vodolan, Jindřich Libovický, Jan Macek, and Jan Kleindienst. “Knowledge-based dialog state tracking.” In Spoken Language Technology Workshop (SLT), 2014 IEEE, pp. 348–353. IEEE, 2014.
- Jindřich Libovický, and Pavel Pecina. “Tolerant BLEU: a Submission to the WMT14 Metrics Task.“ In: Proceedings of the Ninth Workshop on Statistical Machine Translation, pp. 409–412. Association for Computational Linguistics, Baltimore, USA. 2014. [pdf, bib, poster]
- Rudolf Kadlec, Jindřich Libovický, Jan Macek, and Jan Kleindienst. “IBM’s Belief Tracker: Results On Dialog State Tracking Challenge Datasets.“ In: Proceedings of the Workshop on Dialogue in Motion, pp. 10–18. Association for Computational Linguistics, Gothenburg, Sweden. 2014. [pdf, bib]
See the full list on my Google Scholar profile or our institutes's database.
Recent Blog Posts
- 05/2017: Further, faster, stronger, dear AI
- 03/2017: Computational Linguistics in the 21st century – a private manifesto of its perpetual student
- 02/2017: Spell checking of y and in Czech using deep learning
- 11/2016: What is Neural Machine Translation Capable of?
Visit my blog at jlibovicky.github.io.
Talks
- Proč není snadné přečíst nápis z fotky a proč bychom to měli chtít (popluarization talk at Gymnázium Kladno, 23.10. 2014) [slides]
- Learning Hypotheses Decoding in an Image Text Recognition Pipeline (at Week of Doctroal Studies at ÚFAL), 19.5. 2014 [video, slides]
- Music and Computational Linguistics (at Linguistic Monday at ÚFAL), 4.11.2013 [video, slides]
- Matematická lingvistika (popularization talk at Festival Fantazie), 4.7. 2013 [slides]