Bc. Matej Gallo
Bachelor's thesis
Sumarizace textu metodami strojového učení
Text summarization by machine learning
Abstract:
Práca sa zaoberá modernými algoritmami, pričom sa venuje najmä tým založených na princípe strojového učenia, ako je napríklad NetSum založený na neurónových sieťach, alebo na princípe grafovej reprezentácie, ako je napríklad LexRank. Taktiež predstavujeme spôsob vyhodnotenia sumarizácie pomocou metriky ROUGE. Časť práce je venovaná experimentálnej implementácii metódy, ktorá využíva časté vzory získané …moreAbstract:
This thesis discusses the state-of-the-art algorithms, focusing only on those that use maching learning approach, such as neural network based NetSum, or graph representation, such as LexRank. We also present the means of evaluating summaries using ROUGE metrics. A part of the work is experimental implementation of a method that takes advantage of frequent patterns extracted from text. We evaluate …more
Language used: English
Date on which the thesis was submitted / produced: 23. 5. 2016
Identifier:
https://is.muni.cz/th/eqyl2/
Thesis defence
- Date of defence: 23. 6. 2016
- Supervisor: doc. RNDr. Lubomír Popelínský, Ph.D.
- Reader: Pavel Brázdil
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatikyMasaryk University
Faculty of InformaticsBachelor programme / field:
Informatics / Artificial Intelligence and Natural Language Processing
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