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master's thesis
Učenje pretraživanja za rješavanje zadataka obrade prirodnoga jezika
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. urn:nbn:hr:168:209110
Crnjak, Vjeran
University of Zagreb
Faculty of Electrical Engineering and Computing

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Crnjak, V. (2016). Učenje pretraživanja za rješavanje zadataka obrade prirodnoga jezika (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:209110

Crnjak, Vjeran. "Učenje pretraživanja za rješavanje zadataka obrade prirodnoga jezika." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:209110

Crnjak, Vjeran. "Učenje pretraživanja za rješavanje zadataka obrade prirodnoga jezika." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:209110

Crnjak, V. (2016). 'Učenje pretraživanja za rješavanje zadataka obrade prirodnoga jezika', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 17 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:209110

Crnjak V. Učenje pretraživanja za rješavanje zadataka obrade prirodnoga jezika [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2016 [cited 2024 May 17] Available at: https://urn.nsk.hr/urn:nbn:hr:168:209110

V. Crnjak, "Učenje pretraživanja za rješavanje zadataka obrade prirodnoga jezika", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:168:209110

Metadata
TitleUčenje pretraživanja za rješavanje zadataka obrade prirodnoga jezika
Title (english)Learning to Search for Solving Natural Language Processing Tasks
AuthorVjeran Crnjak
MentorJan Šnajder (mentor)
Committee memberJan Šnajder (predsjednik povjerenstva)
Committee memberMarko Čupić (član povjerenstva)
Committee memberDomagoj Jakobović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2016-07-04, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Strukturno predviđanje i učenje sveprisutno je u problemima obrade prirodnoga jezika. Metode učenja pretraživanja pružaju okvir u kojem je te probleme moguće efikasno rješavati. U ovom radu dan je pregled povijesti metoda učenja pretraživanja i osvrt na područja u strojnom učenju koja su omogućila njihov razvoj. Pokazana je i primjena na razne probleme u obradi prirodnog jezika. Istaknute su i bitne razlike između ostalih pristupa strukturnom učenju koje utvrđuju nadmoć i prilagodivost metoda učenja pretraživanja. Ostvaren je sustav koji zadatke označavanja vrste riječi i ovisnosnog parsanja vrši združeno te su istaknute razlike i prednosti na pristupe koji zadatke ne gledaju združeno. Vrednovanje sustava izvršeno je na podacima za hrvatski jezik.
Abstract (english)
Structured prediction and learning is omnipresent for problems in natural language processing. Learning to search (L2S) methods provide a framework in which these problems can be efficiently solved. This thesis gives an overview of L2S methods and their theoretical basis that allowed their development. Their application to various problems of natural language processing is described. Important differences that show the superiority and flexibility of L2S methods are pointed out in the context of previous solutions for structured and joint prediction. Description of the development of a system that considers part-of-speech tagging and dependency parsing as a joint task is provided and detailed analysis of differences and advantages to various approaches is given. Evaluation of the system is done on Croatian corpus.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:209110
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2018-02-06 08:13:43