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Entity Knowledge Base Creation from Czech Wikipedia
Sychra, Martin ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
The aim of this thesis is to propose and implement a system for an automatic extraction of named entities from Czech Wikipedia, to create a knowledge base consisting of these entities and to evaluate results of the created system. The first part explains basic notions of this field and discusses related work. The main part proposes several methods of extraction and details their implementation. The following types of entities are extracted: people, places, events and organizations. The final part of the thesis presents results, i.e., the success of the individual methods for each entity type and statistics on extraction of the individual entities in the whole Czech Wikipedia context.
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Automatic concordance extraction from the Internet
Macháček, Dominik ; Kríž, Vincent (advisor) ; Vidová Hladká, Barbora (referee)
Concordances are sentences containing given target word. They are profitable research objects in all linguistics fields. A big amount of concordances is exploited during lexical desambiguation problem solving. Language corpora are not able to supply sufficient number of concordances of some English verbs. In this thesis we elaborate a design and implementation of a console application for automatic extraction of given number of English concordances. The application gets on its input a target word, a part-of-speech and a number of sentences. Consecutively it seeks out and extracts on the Internet desired number of English sentences containing a target word as given part-of-speech. We created also a Python library which allows a modification of the application to any arbitrary language. We published it on PyPI server. A part of a work is also a webpage allowing users to try out the application through web interface. 1
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Entity Knowledge Base Creation from Czech Wikipedia
Sychra, Martin ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
The aim of this thesis is to propose and implement a system for an automatic extraction of named entities from Czech Wikipedia, to create a knowledge base consisting of these entities and to evaluate results of the created system. The first part explains basic notions of this field and discusses related work. The main part proposes several methods of extraction and details their implementation. The following types of entities are extracted: people, places, events and organizations. The final part of the thesis presents results, i.e., the success of the individual methods for each entity type and statistics on extraction of the individual entities in the whole Czech Wikipedia context.
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