20.500.12556/DKUM-72860 Uporaba metod strojnega učenja za označevanje imenskih entitet v besedilih Named entity recognition in texts using machine learning methods V magistrskem delu je opisano področje označevanja imenskih entitet vključno z razpoložljivimi pristopi. Podrobneje je razdelano področje strojnega učenja, tako nadzorovanega, delno nadzorovanega kot nenadzorovanega, z opisi nekaj pogosto uporabljanih metod. V magistrskem delu smo izdelali in preizkusili sistem označevanja imenskih entitet v besedilih, ki so napisana v slovenskem jeziku. Uporabili smo strojno učenje z metodo pogojnih naključnih polj. Opisani so posamezni deli sistema, uporabljen podatkovni vir za učenje sistema, za tem pa sam potek preizkušanja in dobljeni rezultati ter ugotovitve. Rezultati za kategoriji geografskih in lastnih imen so bili zadovoljivi, obstajajo pa še razne možnosti za nadaljnji napredek na tem področju, ki je tudi nujen zaradi naraščajočih potreb po uporabi takšnih sistemov. The thesis describes the field of named entity recognition along with possible approaches, where machine learning methods are depicted in details. This includes some of the most commonly used methods from supervised, semi supervised and unsupervised areas. The purpose of the Master thesis was to develop and test a system for named entity recognition in Slovenian texts using a machine learning method, whereby the conditional random field method was chosen. Individual parts of the system and the used data source are further elaborated, which is followed by the course of the experiment itself, together with the obtained results and findings. Results for the geographical and personal name entities were satisfactory; however, there are still various possibilities for further progress in the field of named entity recognition, which is also necessary due to the growing demand for such systems. obdelava naravnega jezika strojno učenje označevanje imenskih entitet pogojna naključna polja natural language processing machine learning named entity recognition conditional random fields true true false A. Pečovnik Slovenski jezik Angleški jezik Magistrsko delo/naloga 2018-12-02 13:12:57 2019-01-30 14:10:07 2022-08-01 23:34:19 2019-07-11 19:35:12 2019 0 [Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.5:004.86(043.2) 22123286 URN:SI:UM:DK:KQJ5EVKF MAG_Pecovnik_Ales_2019.pdf MAG_Pecovnik_Ales_2019.pdf 1 E24B55CBB742BE6525DD8E46EC0F7BE4 501bb85a0acd0fa58acb821587829e670725bb00dc4c6bce8f2395a9717e027d 8f31a41f-7c10-11eb-bb7a-00155d0001ca 20.500.12556/dkum/374b292d-f5e2-455c-aa17-8cafe984b629 https://dk.um.si/Dokument.php?lang=slv&id=132043 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0