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En/De/Fr/It- (first 9 out of 19 sentences) [pdf] Srpski - (prvih 9 od 19 rečenica) [pdf]
n1Milica Ikonić Nešićn1Milica Ikonić Nešić
n2Faculty of Philology, University of Belgrade, Serbian2Faculty of Philology, University of Belgrade, Serbia
n3milica.ikonic.nesic@fil.bg.ac.rsn3milica.ikonic.nesic@fil.bg.ac.rs
n4Miloš Utvićn4Miloš Utvić
n5Faculty of Philology, University of Belgrade, Serbian5Faculty of Philology, University of Belgrade, Serbia
n6milos.utvic@fil.bg.ac.rsn6milos.utvic@fil.bg.ac.rs
n7OVERVIEW OF THE TESLA-NER-NEL-GOLD DATASET: SHOWCASE ON SERBIAN-ENGLISH PARALLEL CORPUS n7TESLA-NER-NEL-GOLD SKUP PODATAKA: STUDIJA SLUČAJA NA SRPSKO-ENGLESKOM PARALELNOM KORPUSU
n8 As self-explanatory name suggests, TESLA-NER-NEL-gold is designed as an expansion of the existing srpELTeC-gold dataset (Krstev et. al, 2021), to be used as a gold dataset to train models for named entities (NE) recognition (NER) and linking (NEL).n8TESLA-NER-NEL-gold je skup podataka osmišljen kao proširenje postojećeg skupa srpELTeC-gold (Krstev et. al, 2021), namenjenog za treniranje modela za prepoznavanje imenovanih entiteta (NER) i njihovo povezivanje (NEL).
n9 This paper gives an overview of the annotation process applied to the TESLA-NER-NEL-gold subset composed of parallel Serbian-English texts (corpus SrpEngKor-TESLA). n9 Ovaj rad opisuje anotaciju (pod)skupa podataka TESLA-NER-NEL-gold koga čine tekstovi paralelnog srpsko-engleskog tekstualnog korpusa (SrpEngKor-TESLA).