Working as: Associate Professor of the Faculty of Lithuanian Studies and as senior researcher at the Institute of Interdisciplinary Research (SITTI), Vytautas Magnus University, Kaunas, Lithuania.
Main research areas: computational linguistics, natural language processing.
In BECID is involved with: automated tools and technology used in desinformation detection (WP2).
Everyday MIL-related survival tip for information disorders: Be aware about the level of credibility of the source. There are credible and reliable sources that take care of fact-checking and you simply trust them, then unreliable sources (these you read for studying disinformation), and random sources (their information always needs to be checked).
Rokas, Aivaras, Rackevičienė, Sigita, Utka, Andrius (2020) Automatic extraction of Lithuanian cybersecurity terms using deep learning approaches // Human language technologies – the Baltic perspective: proceedings of the 9th international conference, Baltic HLT, Kaunas, Vytautas Magnus University, Lithuania, 22-23 September 2020 / editors A. Utka, J. Vaičenonienė, J. Kovalevskaitė, D. Kalinauskaitė. Amsterdam: IOS Press, 2020, 2020, p. 39-46.
Utka, Andrius, Amilevičius, Darius. (2016) Normalisation of Lithuanian Social Media Texts: Towards Morphological Analysis of User-Generated Comments. LREC 2016: Proceedings of the Workshop on Normalisation and Analysis of Social Media Texts (NormSoMe), 28th May 2016, Portorož, Slovenia / editors Andrius Utka, Jurgita Vaičenonienė, Rita Butkienė p. 39-44.