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undergraduate thesis
Modeli strojnog učenja za zadatak razumijevanja narativnog teksta
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. urn:nbn:hr:168:853403
Crnomarković, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Crnomarković, I. (2018). Modeli strojnog učenja za zadatak razumijevanja narativnog teksta (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:853403

Crnomarković, Ivan. "Modeli strojnog učenja za zadatak razumijevanja narativnog teksta." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:853403

Crnomarković, Ivan. "Modeli strojnog učenja za zadatak razumijevanja narativnog teksta." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:853403

Crnomarković, I. (2018). 'Modeli strojnog učenja za zadatak razumijevanja narativnog teksta', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 24 August 2024, https://urn.nsk.hr/urn:nbn:hr:168:853403

Crnomarković I. Modeli strojnog učenja za zadatak razumijevanja narativnog teksta [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2024 August 24] Available at: https://urn.nsk.hr/urn:nbn:hr:168:853403

I. Crnomarković, "Modeli strojnog učenja za zadatak razumijevanja narativnog teksta", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:853403

Metadata
TitleModeli strojnog učenja za zadatak razumijevanja narativnog teksta
Title (english)Machine Learning Models for Narrative Text Understanding
AuthorIvan Crnomarković
MentorJan Šnajder (mentor)
Committee memberJan Šnajder (predsjednik povjerenstva)
Committee memberMladen Karan (član povjerenstva)
Committee memberDomagoj Alagić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2018-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Zahvaljujući internetu i dinamičnosti današnjeg društva ljudi generiraju dosad neviđene količine podataka. Kako je velik dio generiranih podataka u nestrukturiranom tekstnom obliku, radi se na sustavima koji bi mogli probaviti ove masivne tekstove i razumjeti njihovo značenje. Jedan od načina testiranja takvih sustava jest test dovršavanja priče, tj. test u kojem sustav na osnovi priče od četiri rečenice pokušava pogoditi koji je od dvaju ponuđenih završetaka točan. Danas najbolje rezultate na testu dovršavanja priče postižu sustavi temeljeni na metodama strojnog i dubokog učenja. Stoga smo implementirali dva modela temeljena na metodama strojnog i dubokog učenja, kako bi dali pregled postupaka implementacije tih metoda na rješavanju testa završetka priče.
Abstract (english)
Thanks to the internet and the dynamics of today’s society, people are generating unprecedented amounts of data. Since much of the generated data is in an unstructured text form, we are developing systems that could digest these massive texts and understand their meaning. One of the ways to test such systems is a story cloze test, i.e. a test in which a system reads 4-sentence story and based on that tries to guess which of the two offered endings is correct. Today, the best results on the story cloze test are achieved by the systems based on machine and deep learning methods. So we implemented two models based on machine learning and deep learning methods to review the implementation procedures of these methods on task of solving a story cloze test.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:853403
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2019-03-13 19:37:39