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	Automated Synthesis of Tree Structures from Real Data Želiar, Dušan ; Fiedor, Tomáš (referee) ; Smrčka, Aleš (advisor) This masters thesis deals with analysis of tree structure data. The aim of this thesis is to design and implement a tool for automated detection of relation among samples of read data considering their three structure and node values. Output of the tool is a prescription for automated synthesis of data for testing purposes. The tool is a part of Testos platform developed at FIT BUT. Detailed record
	Low-resource methods for dialogue systems applications Hudeček, Vojtěch ; Dušek, Ondřej (advisor) ; Skantze, Gabriel (referee) ; Schwarz, Petr (referee) This thesis focuses on developing and improving task-oriented dialogue systems design in the rapidly growing landscape of artificial intelligence and natural language processing. We propose techniques that can substantially decrease development and deployment costs, motivated by the desire to make these systems more adaptable and scalable. We introduce multiple novel approaches to achieving these goals. Firstly, we present a weakly supervised automatic data annotation pipeline that can transform raw dialogue transcript into a refined set of semantically coherent concepts, bypassing the need for exhaustive manual annotations in natural language understanding for a given domain and significantly streamlining the development process. We also explore the largely uninvestigated field of latent variable models in task-oriented dialogue system modeling. These models offer excellent capabilities with the potential to uncover the structure of behavioral patterns seen in the dialogue through inspection of the latent space and comparison with actions taken by the model. Furthermore, we explore the potential of these models to form hierarchical representations using our proposed architecture. Following recent progress in the field, we harness the power of pre-trained large language models using in-context learning. We... Detailed record
	Automated Synthesis of Tree Structures from Real Data Želiar, Dušan ; Fiedor, Tomáš (referee) ; Smrčka, Aleš (advisor) This masters thesis deals with analysis of tree structure data. The aim of this thesis is to design and implement a tool for automated detection of relation among samples of read data considering their three structure and node values. Output of the tool is a prescription for automated synthesis of data for testing purposes. The tool is a part of Testos platform developed at FIT BUT. Detailed record

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