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Authorship Identification
Fabiánek, Ondřej ; Škoda, Petr (referee) ; Smrž, Pavel (advisor)
This bachelor's thesis deals with authorship identification based on knowledge of author's previous texts. The aim is to analyze existing methods of authorship attribution and create a system, which is capable of highly successful authorship identification. The system is based on a multivariate analysis and specializes at English books. Part of the solution is also a graphic user interface.
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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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ChatBot Based on Language Modelling
Radvanský, Matěj ; Szőke, Igor (referee) ; Skála, František (advisor)
This paper addresses the use of language modeling using neural networks in the chatbot. Problem is solved by using natural language processing and first step of generating response based on user input is input analysiss. As next beginings of sentences are created which are completed by output of neural network. All created sentences form final chatbot response. There was a comparisson with chatbot Cleverbot and measure of intelligence for both chatbots was determined. Based on testing results, some techniques for future progress were concluded.
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Semantic Similarity of Articles
Veselovský, Martin ; Otrusina, Lubomír (referee) ; Kouřil, Jan (advisor)
This bachelor's thesis deals with modelling of structure of semantic relationships among articles in English language. There are introduced existing methods of articles representation and computation of similarity. The base method is vector space model, which represents document as vector of words. There are given weights of importance to these words using TF-IDF method. Next, there are described advanced methods of modelling, Latent semantic analysis (LSA) and Latent Dirichlet allocation (LDA). This thesis also deals with articles, which are semantically annotated, while weights of annotation words are computed by Stochastic Gradient Descent method. Evaluation of results takes place on the prepared test corpus of documents to which there is reference similarity evaluation.
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Dictionary Up-Translation System
Schovajsa, Michal ; Kouřil, Jan (referee) ; Smrž, Pavel (advisor)
The thesis concerns with the processing of dictionaries in electronic form, converting them into an unified form, and the problems arising in the process in particular. The subject of the work is to create a system for the elimination of some of these problems in order to facilitate machine processing of dictionaries. At first, different issues of dictionaries transferred into an unified form are concerned. Then, the thesis deals with the solution of these issues and the creation of tools for this purpose. Finally, the results and the efficiency of the instruments created are evaluated.
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Machine-Learning in Natural Language Processing
Otrusina, Lubomír ; Šilhavá, Jana (referee) ; Smrž, Pavel (advisor)
This beachelor's thesis deals with word sense disambiguation problem using the machine learning techniques. There are shortly presented problems of word sense disambiguation and its timeline. There are described methods and approaches, especially the naive Bayes classifier that is implemented in the system. There's illustrated a simple example of using this classifier. In a practical section is described project of system based on naive Bayes classifier including description of various algorithms used in the system. Finally there are described evaluation and analysis of the system. This created system took part in an international competition on semantic evaluation workshop SemEval-2007.
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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.
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An Intelligent System for Question Answering
Mičulka, Jakub ; Kouřil, Jan (referee) ; Otrusina, Lubomír (advisor)
This work deals with problem about proccessing of natural language queries, which are asked in search engines. This work explains basic function principles of search engines, where the main focus is given to database search engines. The essential part of this article deals with system design and implementation of questionAnswering, which is used for searching information in the database of the ReResearch project. The reader is introduced to procedure of design and implementation of mentioned system and to the fundamental problems, that arose from this work. In the end, this system is evaluated with the standard metrics.
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