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master's thesis
Plitko semantičko parsanje tekstova na hrvatskome jeziku
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. urn:nbn:hr:168:239652
Baksa, Krešimir
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Baksa, K. (2015). Plitko semantičko parsanje tekstova na hrvatskome jeziku (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:239652

Baksa, Krešimir. "Plitko semantičko parsanje tekstova na hrvatskome jeziku." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:239652

Baksa, Krešimir. "Plitko semantičko parsanje tekstova na hrvatskome jeziku." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:239652

Baksa, K. (2015). 'Plitko semantičko parsanje tekstova na hrvatskome jeziku', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 02 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:239652

Baksa K. Plitko semantičko parsanje tekstova na hrvatskome jeziku [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2015 [cited 2024 June 02] Available at: https://urn.nsk.hr/urn:nbn:hr:168:239652

K. Baksa, "Plitko semantičko parsanje tekstova na hrvatskome jeziku", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:168:239652

Metadata
TitlePlitko semantičko parsanje tekstova na hrvatskome jeziku
Title (english)Shalow Semantic Parsing of Croatian Texts
AuthorKrešimir Baksa
MentorJan Šnajder (mentor)
Committee memberJan Šnajder (predsjednik povjerenstva)
Committee memberMarko Čupić (član povjerenstva)
Committee memberSlobodan Ribarić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2015-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu definiran je skup semantičkih okvira za manji broj glagola koji su bili najzastupljeniji u dostupnom hrvatskom korpusu. Na temelju tih okvira označen je relativno malen skup rečenica iz korpusa te je izvršeno vrednovanje modela temeljenih na nadziranom strojnom učenju na zadatku plitkog semantičkog parsanja. Pokazano da na tako malom skupu primjera automatski modeli temeljeni na strojnom učenju postižu dobre rezultate F1=58.54. Na reduciranom skupu semantičkih uloga, modeli temeljeni na strojnom učenju nadmašuju rezultate osnovnog modela te u tom slučaju najbolju F1-mjeru postiže stroj potpornih vektora (F1=69.20).
Abstract (english)
In this thesis a set of semantic frames for smaller number of most common verbs in available Croatian corpus was defined. Based on those semantic frames relatively small set of sentences was labeled with semantic roles and, based on those sentences, the evaluation of supervised machine learning models was performed on a task of shallow semantic parsing. It is shown that even on relatively small training set models based on supervised machine learning can perform well and achive good results with F1=58.54. On a reduced set of sematic roles, machine learning models outperform baseline model and in that case the best F1-score is achived with Support Vector Machine (F1=69.20).
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:239652
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 07:42:08