A. Znotins, R. Dargis, N. Gruzitis, G. Barzdins, and D. Gosko. RUTA:MED – Dual Workflow Medical Speech Transcription Pipeline and Editor. Natural Language Processing and Information Systems, Springer, volume 13286, pages 209-214, June 2022. N. Gruzitis, R. Dargis, V. Lasmanis, G. Garkaje, and D. Gosko. Adapting Automatic Speech Recognition to the Radiology Domain for a Less-Resourced Language: The Case of Latvian. Intelligent Sustainable Systems, Springer, volume 333, pages 267-276, 2022. D. Gosko, A. Znotins, I. Skadina, N. Gruzitis, and G. Nespore-Berzkalne. Domain Expert Platform for Goal-Oriented Dialog Collection. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL): System Demonstrations, pages 295-301, 2021. I. Skadina and D. Gosko. Towards Hybrid Model for Human-Computer Interaction in Latvian. Human Language Technologies - The Baltic Perspective, IOS Press, volume 328, pages 103-110, 2020. G. Barzdins, D. Gosko, K. Cerans, O. F. Barzdins, A. Znotins, P. F. Barzdins, N. Gruzitis, M. Grasmanis, J. Barzdins, U. Lavrinovics, S. K. Mayer, I. Students, E. Celms, A. Sprogis, G. Nespore-Berzkalne, and P. Paikens. Pini Language and PiniTree Ontology Editor: Annotation and Verbalisation for Atomised Journalism. Proceedings of the 17th Extended Semantic Web Conference (ESWC): Posters and Demos, 2020. G. Barzdins, D. Gosko, P. F. Barzdins, U. Lavrinovics, G. Bernans, and E. Celms. RDF* Graph Database as Interlingua for the TextWorld Challenge. Proceedings of the IEEE Conference on Games (CoG), 2019. G. Barzdins, R. Liepins, P. F. Barzdins, and D. Gosko. dBaby: Grounded Language Teaching through Games and Efficient Reinforcement Learning. NIPS 2017 Workshop on Visually-Grounded Interaction and Language (ViGIL), 2017. N. Gruzitis, D. Gosko, and G. Barzdins. RIGOTRIO at SemEval-2017 Task 9: Combining machine learning and grammar engineering for AMR parsing and generation. Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval), 2017. G. Barzdins, S. Renals, and D. Gosko. Character-level neural translation for multilingual media monitoring in the SUMMA project. Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC), 2016. G. Barzdins and D. Gosko. RIGA at SemEval-2016 Task 8: Impact of Smatch extensions and character-level neural translation on AMR parsing accuracy. Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval), 2016. G. Barzdins, P. Paikens, and D. Gosko. Riga: from FrameNet to semantic frames with C6.0 rules. Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval), 2015. L. Pretkalnina, A. Znotins, L. Rituma, and D. Gosko. Dependency parsing representation effects on the accuracy of semantic applications - an example of an inflective language. Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC), 2014. G. Barzdins, D. Gosko, L. Rituma, and P. Paikens. Using C5.0 and exhaustive search for boosting frame-semantic parsing accuracy. Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC), 2014. D. Gosko and G. Barzdins. Adding Constructicon to the Latvian FrameNet. Human Language Technologies - The Baltic Perspective, IOS Press, volume 268, 2014.