IDENTIFICATION OF NORP ENTITIES IN THE UZBEK LANGUAGE BASED ON THE BIOES ANNOTATION SCHEME
Keywords:
Named Entity Recognition (NER), BIOES, NORP, Linguistic Corpus, Annotation, Natural Language Processing (NLP)Abstract
This article discusses contemporary linguistic research on the identification and analysis of NORP (nationality, religious, and political group) entities in the Uzbek language. It analyzes Wikipedia texts annotated using the BIOES scheme and examines the relevance and practical significance of identifying named entities in NER systems. Furthermore, it describes the methodological steps of dataset preparation, preprocessing, annotation, and result analysis. Based on the analysis, the segmentation of NORP entities at the token level and their linguistic features are theoretically justified.
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