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This diploma thesis deals with the valuation of MODELÁRNA LIAZ spol. s r.o. The main business of the company is focused on development, production and construction of components, tools and products for automotive, energy and aerospace industries. The main goal is to estimate the market value of this company with using DCF Entity method. As a supportive method was used method of sector multipliers. The diploma thesis also includes financial and strategic analysis, analysis and forecast of the main value drivers and financial plan for the future.

This thesis focuses on the valuation of the Fortuna Entertainment Group NV, which is leader in sports betting market in central Europe. Analyzing, describing and predicting methods are used for determination the adequate corporate value. The master´s thesis defines theoretical framework, which is a starting point for finding the value of the company. The basic used methods include PESTLE analysis describing factors, which affects Fortuna externally, Porter´s five forces analysis characterizing internal factors, financial analysis capturing financial condition and financial plan created as support for the valuation. For the valuation purposes author assumes functioning of the group based on going concern principle, therefore the yield methods, specifically DCF entity, are used. Using the identified assumptions and methods in this thesis the value of the group at 31th December 2014 is established. The calculated value of the Fortuna exceeds market value resulting from market capitalization. This fact is presumably caused by different level of information used for each of these methods.

This thesis deals with the determination of the value of company Colognia Press, a.s. at the first January 2011 as the appreciation of unused purchase of shares. The aim of this thesis is to determine at what amount would be if the share purchase, without the new owner would suffer a loss.

The thesis deals with the valuation of the company Viko s.r.o. The aim of this thesis is to set a value of the firm which refers to 30. 4. 2015 for both owners and creditors. Based on the DCF method which is proceeded from free cash flows to firm (FCFF) generated in a particular year, an internal value of private equity is determined in addition to the company value. First of all is made a theoretical part and an analytical part of the thesis comes after. Strategic analysis of the macroeconomic and microeconomic environment, financial analysis and the prognosis of a financial plan for a period of 2015--2019 are applied in the process of valuation. After delivery of the statement of the enterprise value the attention is focused on defining the impact of factors that affect the resulting value of the company. The conclusion summarizes the analytical part of the thesis and suggestions resulting in increase of the enterprise value in the future are presented.

Relationship extraction is the task of extracting semantic relationships between en- tities from a text. We create a Czech Relationship Extraction Dataset (CERED) using distant supervision on Wikidata and Czech Wikipedia. We detail the methodology we used and the pitfalls we encountered. Then we use CERED to fine-tune a neural network model for relationship extraction. We base our model on BERT - a linguistic model pre-trained on extensive unlabeled data. We demonstrate that our model performs well on existing English relationship datasets (Semeval 2010 Task 8, TACRED) and report the results we achieved on CERED. 1

The tasks of entity recognition through ontological commitment, fact extraction and organization with respect to a target schema, and entity deduplication have all been examined in recent years, and systems exist that can perform each individual task. A framework combining all these tasks, however, is still needed to accomplish the goal of automatically extracting and organizing biographical facts about persons found in historical documents into disambiguated entity records. We introduce FROntIER (Fact Recognizer for Ontologies with Inference and Entity Resolution) as the framework to recognize and extract facts using an ontology and organize facts of interest through inferring implicit facts using inference rules, a target ontology, and entity resolution. We give two case studies of FROntIER's performance over a few select pages from The Ely Ancestry [BEV02] and Index to The Register of Marriages and Baptisms in the Parish of Kilbarchan, 1649-1772 [Gra12].

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