National Repository of Grey Literature 22 records found  previous3 - 12next  jump to record: Search took 0.01 seconds. 
Brno Communication Agent
Křištof, Jiří ; Fajčík, Martin (referee) ; Smrž, Pavel (advisor)
The aim of this thesis is the implementation of a communication agent, which provides information about Brno. The communication agent uses three - tier architecture . For the question answering , machine learning and neural network techniques are used . User tests determined the success rate 84 %. 58 % of the primary users were satisfied with the system. Main benefit of the work is facilitating the retrieving of information about Brno for its residents and visitors .
Implementation of a competitive intelligence process to a selected company
Václavková, Eliška ; Petráková, Anna (referee) ; Bartes, František (advisor)
This diploma Thesis deals with the introducing of the Comptitive Intelligence process and creating a proposal for the implementation of this process to the selected company. The first part contains a description of the theoretical framework, followed by the review of the current situation in the company and the reasons why the Competitive Intelligence process should be implemented. The next part is focused on the proposal of the whole process. The conclusion of the thesis sumarizes the whole proposal and its benefits of this thesis for the company.
Library for Support of ReReSearch System Development
Heller, Stanislav ; Otrusina, Lubomír (referee) ; Šperka, Svatopluk (advisor)
At this time, the development of the ReReSearch system is significantly slowed down by mutual incompatibility of system modules, by the fact that developers often repeat already known mistakes and of course by poor communication between developers in general. To solve this problem, there was a need to create a component which would implement and unify often performed tasks in development of ReReSearch system and this way to spend time of ReReSearch developers. The result of this effort is so-called "rrslib" - a Python library, which is supposed to be a helper for everyone, who works on parts of ReReSearch project: database, data extractors, web-based agents, crawlers, XML-processing etc. The library should serve for more consistent, faster and more reliable development of ReReSearch system.
Automatic Creation of the Publication Index
Strachota, Tomáš ; Černocký, Jan (referee) ; Smrž, Pavel (advisor)
The goal of this thesis is to survey potential of common language processing methods for text indexing. A prototype of automatic index-building system will be made and tested on gathered data. A direction for the next developement will be set based on the results of the tests.
A Web-Based Application to Search Online Library Catalogues
Polách, Ondřej ; Šebek, Michal (referee) ; Rychlý, Marek (advisor)
The Internet is since its inception, source of various informations. Their retrieve was standardized with the advent of Z39.50 protocol, which today is still evolving and it also serves as the cornerstone for modern retrieve information protocols. Protocols group SRU/SRW is example of new protocols which are oriented into service-oriented architecture. The aim of this bachelor's thesis is to design and implement a unified web-based information gateway for retrieve informations from various library catalogues from single location. Development platform will be .NET and Mono. The biggest challenge is to use WCF services with system's client-side build on Silverlight technology, and last, but not least, is the solve problems arising from the current incomplete compatibility between Mono and .NET, especially with regard to these two components. Both will be host in ASP.NET web application. The main requirement is portability solution on various platforms. If manage to achieve compatibility between Mono and .NET, application can run on all platforms that are supported by Mono technology.
Analysis and Data Extraction from a Set of Documents Merged Together
Jarolím, Jordán ; Bartík, Vladimír (referee) ; Kreslíková, Jitka (advisor)
This thesis deals with mining of relevant information from documents and automatic splitting of multiple documents merged together. Moreover, it describes the design and implementation of software for data mining from documents and for automatic splitting of multiple documents. Methods for acquiring textual data from scanned documents, named entity recognition, document clustering, their supportive algorithms and metrics for automatic splitting of documents are described in this thesis. Furthermore, an algorithm of implemented software is explained and tools and techniques used by this software are described. Lastly, the success rate of the implemented software is evaluated. In conclusion, possible extensions and further development of this thesis are discussed at the end.
System for Agregation of Information from Public Databases
Pojsl, Jakub ; Rychlý, Marek (referee) ; Očenášek, Pavel (advisor)
The thesis focuses on the design and implementation of a system for law firms, designed to automatically retrieve relevant information from public databases. Initially, the reader is familiarized with the significance and accessibility of chosen public registers within the context of prevailing legislation. This is followed by an analysis of the processes within law firms and the existing information systems in their area. Subsequently, the focus shifts to the detailed specification and design of this system, encapsulating functionalities for client management, document organization, mail handling, and simplified billing procedures. The practical aspect of the thesis includes the actual implementation of the system, with a particular focus on user interface design, data accessibility from external sources, and the streamlining of law firm processes. The outcome of this work is a comprehensive system to aid the law firm’s operations. This includes aggregating data from selected public databases, monitoring changes in court and insolvency proceedings, and integrating with a government electronic mailbox system. Additionally, the system offers a publicly available interface for obtaining aggregated data from public registers. The system has been deployed in a testing environment, paving the way for further enhancements and demonstrating the potential for real-world application.
Designing a Multilingual Fact-Checking Dataset from Existing Question-Answering Data
Kamenický, Daniel ; Aparovich, Maksim (referee) ; Fajčík, Martin (advisor)
Tato práce se zabývá nedostatkem vícejazyčných datových sad pro kontrolu faktů, které by obsahovaly důkazy podporující nebo vyvracející fakt. Proto se tato práce zabývá převodem datového souboru pro kontrolu faktů z již existujícího datového souboru otázek a odpovědí. V této práci jsou studovány dva přístupy ke konverzi datové sady. Prvním přístupem je vytvoření datové sady založené na jednojazyčném předem natrénovaném seq-2-seq modelu T5. Model je trénován na anglickém datovém souboru. Vstupy a výstupy jsou překládány do požadovaných jazyků. Druhým přístupem je využití vícejazyčného modelu mT5, který přebírá vstup a generuje výstup v požadovaném jazyce. Pro vícejazyčný model je zapotřebí přeložit trénovací datové sady. Jako hlavní problém této práce se ukázal překlad, který v málo zdrojovém jazyce dosáhl kolem 30 % úspěšnosti. Experimenty ukázaly lepší výsledky v tvrzeních generovaných z jednojazyčného modelu s využitím strojového překladu. Na druhou stranu, tvrzení generované z vícejazyčného modelu dosáhly úspěšnosti 73 % oproti tvrzením z jednojazyčného modelu s dosaženou úspěšností 88 %. Modely byly vyhodnoceny modelem ověřování faktů založeném na TF-IDF. Dosažená přesnost modelu na obou datových sadách se blíží 0,5. Z toho lze usoudit, že výsledné datové sady mohou být náročné pro modely ověřování faktů.
Semantic relation extraction from unstructured data in the business domain
Rampula, Ilana ; Pecina, Pavel (advisor) ; Kuboň, Vladislav (referee)
Text analytics in the business domain is a growing field in research and practical applications. We chose to concentrate on Relation Extraction from unstructured data which was provided by a corporate partner. Analyzing text from this domain requires a different approach, counting with irregularities and domain specific attributes. In this thesis, we present two methods for relation extraction. The Snowball system and the Distant Supervision method were both adapted for the unique data. The methods were implemented to use both structured and unstructured data from the database of the company. Keywords: Information Retrieval, Relation Extraction, Text Analytics, Distant Supervision, Snowball
Brno Communication Agent
Křištof, Jiří ; Fajčík, Martin (referee) ; Smrž, Pavel (advisor)
The aim of this thesis is the implementation of a communication agent, which provides information about Brno. The communication agent uses three - tier architecture . For the question answering , machine learning and neural network techniques are used . User tests determined the success rate 84 %. 58 % of the primary users were satisfied with the system. Main benefit of the work is facilitating the retrieving of information about Brno for its residents and visitors .

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