Thesis Details

Zjednoznačňování slovních významů

Master's Thesis Student: Kraus Michal Academic Year: 2007/2008 Supervisor: Smrž Pavel, doc. RNDr., Ph.D.
English title
Word Sense Disambiguation
Language
Czech
Abstract

The master's thesis deals with sense disambiguation of Czech words. Reader is informed about task's history and used algorithms are introduced. There are naive Bayes classifier, AdaBoost classifier, maximum entrophy method and decision trees described in this thesis. Used methods are clearly demonstrated. In the next parts of this thesis are used data also described.  Last part of the thesis describe reached results. There are some ideas to improve the system at the end of the thesis.

Keywords

natural language processing, Czech language, word sense disambiguation, classifiers, naive Bayes classifier, AdaBoost classifier, maximum entrophy method, decision trees

Department
Degree Programme
Information Technology, Field of Study Computer Graphics and Multimedia
Files
Status
defended, grade A
Date
18 June 2008
Reviewer
Committee
Meduna Alexander, prof. RNDr., CSc. (DIFS FIT BUT), předseda
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT), člen
Fučík Otto, doc. Dr. Ing. (DCSY FIT BUT), člen
Sojka Eduard, doc. Dr. Ing. (VŠB-TUO), člen
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT), člen
Citation
KRAUS, Michal. Zjednoznačňování slovních významů. Brno, 2008. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2008-06-18. Supervised by Smrž Pavel. Available from: https://www.fit.vut.cz/study/thesis/4343/
BibTeX
@mastersthesis{FITMT4343,
    author = "Michal Kraus",
    type = "Master's thesis",
    title = "Zjednozna\v{c}\v{n}ov\'{a}n\'{i} slovn\'{i}ch v\'{y}znam\r{u}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2008,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/4343/"
}
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