Thesis Details

Rozpoznávání pojmenovaných entit

Master's Thesis Student: Rylko Vojtěch Academic Year: 2013/2014 Supervisor: Smrž Pavel, doc. RNDr., Ph.D.
English title
Named Entity Recognition
Language
Czech
Abstract
In this master thesis are described the history and theoretical background of named-entity recognition and implementation of the
system in C++ for named entity recognition and disambiguation.
The system uses local disambiguation method and statistics generated from the  Wikilinks web dataset.
With implemented system and with alternative implementations are performed various experiments and tests. These experiments show that the system is sufficiently successful and fast. System participates in the Entity Recognition and Disambiguation Challenge 2014.
Keywords

Named Entity Recognition, Machine Learning, Natural Language Processing, Wikipedia.

Department
Degree Programme
Information Technology, Field of Study Management and Information Technologies
Files
Status
defended, grade A
Date
20 June 2014
Reviewer
Committee
Kreslíková Jitka, doc. RNDr., CSc. (DIFS FIT BUT), předseda
Beran Vítězslav, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Češka Milan, prof. RNDr., CSc. (DITS FIT BUT), člen
Chudý Peter, doc. Ing., Ph.D. MBA (DCGM FIT BUT), člen
Luňáček Jiří, Ing., Ph.D., MBA (IE FBM BUT), člen
Rychlý Marek, RNDr., Ph.D. (DIFS FIT BUT), člen
Citation
RYLKO, Vojtěch. Rozpoznávání pojmenovaných entit. Brno, 2014. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2014-06-20. Supervised by Smrž Pavel. Available from: https://www.fit.vut.cz/study/thesis/16641/
BibTeX
@mastersthesis{FITMT16641,
    author = "Vojt\v{e}ch Rylko",
    type = "Master's thesis",
    title = "Rozpozn\'{a}v\'{a}n\'{i} pojmenovan\'{y}ch entit",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2014,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/16641/"
}
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