Sirvi Autor "Kivisikk, Martin" järgi

Nüüd näidatakse 1 - 1 1

Nimeüksuste tuvastaja loomine puudepanga korpuse põhjal
(Tartu Ülikool, 2025) Kivisikk, Martin; Orasmaa, Siim, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
In natural language processing, named entity recognition aims to tag information units in text, such as names of people, organizations and locations. Named entity tags have recently been added to the Estonian UD treebanks, but no named entity recognition models using the datasets have been made. In this thesis, models based on BERT were fine-tuned on both individual and combined training sets. The best model turned out to be Est-RoBERTa fine-tuned on the combined training set, which achieved an F-score of 0.828 on the test set. The study revealed that models perform worse on external datasets, as named entities are not necessarily defined and annotated consistently across different corpora.