Thesis Details

Shlukování slov podle významu

Master's Thesis Student: Jadrníček Zbyněk Academic Year: 2014/2015 Supervisor: Smrž Pavel, doc. RNDr., Ph.D.
English title
Word Sense Clustering
Language
Czech
Abstract

This thesis is focused on the problem of semantic similarity of words in English language. At first reader is informed about theory of word sense clustering, then there are described chosen methods and tools related to the topic. In the practical part we design and implement system for determining semantic similarity using Word2Vec tool, particularly we focus on biomedical texts of MEDLINE database. At the end of the thesis we discuss reached results and give some ideas to improve the system.

Keywords
biomedical data, semantic similarity, tokenization, vector space model, Word2Vec, natural language processing
Department
Degree Programme
Information Technology, Field of Study Bioinformatics and Biocomputing
Files
Status
defended, grade E
Date
22 June 2015
Reviewer
Committee
Sekanina Lukáš, prof. Ing., Ph.D. (DCSY FIT BUT), předseda
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Martínek Tomáš, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Meduna Alexander, prof. RNDr., CSc. (DIFS FIT BUT), člen
Steingartner William, Ing., Ph.D. (TUKE), člen
Zbořil František, doc. Ing., Ph.D. (DITS FIT BUT), člen
Citation
JADRNÍČEK, Zbyněk. Shlukování slov podle významu. Brno, 2015. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2015-06-22. Supervised by Smrž Pavel. Available from: https://www.fit.vut.cz/study/thesis/9519/
BibTeX
@mastersthesis{FITMT9519,
    author = "Zbyn\v{e}k Jadrn\'{i}\v{c}ek",
    type = "Master's thesis",
    title = "Shlukov\'{a}n\'{i} slov podle v\'{y}znamu",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2015,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/9519/"
}
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